Skip to main content
Neuro-Oncology logoLink to Neuro-Oncology
. 2021 Oct 5;23(Suppl 3):iii1–iii105. doi: 10.1093/neuonc/noab200

CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2014–2018

Quinn T Ostrom 1,2,3,4, Gino Cioffi 1,5, Kristin Waite 1,5, Carol Kruchko 1, Jill S Barnholtz-Sloan 1,5,6,
PMCID: PMC8491279  PMID: 34608945

Abstract

The Central Brain Tumor Registry of the United States (CBTRUS), in collaboration with the Centers for Disease Control and Prevention (CDC) and National Cancer Institute (NCI), is the largest population-based cancer registry focused exclusively on primary brain and other central nervous system (CNS) tumors in the United States (US) and represents the entire US population. This report contains the most up-to-date population-based data on primary brain tumors available and supersedes all previous reports in terms of completeness and accuracy and is the first CBTRUS Report to provide the distribution of molecular markers for selected brain and CNS tumor histologies. All rates are age-adjusted using the 2000 US standard population and presented per 100,000 population. The average annual age-adjusted incidence rate (AAAIR) of all malignant and non-malignant brain and other CNS tumors was 24.25 (Malignant AAAIR=7.06, Non-malignant AAAIR=17.18). This overall rate was higher in females compared to males (26.95 versus 21.35) and non-Hispanics compared to Hispanics (24.68 versus 22.12). The most commonly occurring malignant brain and other CNS tumor was glioblastoma (14.3% of all tumors and 49.1% of malignant tumors), and the most common non-malignant tumor was meningioma (39.0% of all tumors and 54.5% of non-malignant tumors). Glioblastoma was more common in males, and meningioma was more common in females. In children and adolescents (age 0–19 years), the incidence rate of all primary brain and other CNS tumors was 6.21. An estimated 88,190 new cases of malignant and non-malignant brain and other CNS tumors are expected to be diagnosed in the US population in 2021 (25,690 malignant and 62,500 non-malignant). There were 83,029 deaths attributed to malignant brain and other CNS tumors between 2014 and 2018. This represents an average annual mortality rate of 4.43 per 100,000 and an average of 16,606 deaths per year. The five-year relative survival rate following diagnosis of a malignant brain and other CNS tumor was 35.6%, for a non-malignant brain and other CNS tumors the five-year relative survival rate was 91.8%.

EXECUTIVE SUMMARY

The Central Brain Tumor Registry of the United States (CBTRUS), in collaboration with the CDC and NCI, is the largest population-based registry focused exclusively on primary brain and other central nervous system (CNS) tumors in the United States (US) and represents the entire US population. The CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 20142018 contains the most up-to-date population-based data on primary brain tumors available through the surveillance system in the US and supersedes all previous reports in terms of completeness and accuracy, thereby providing a current comprehensive source for the descriptive epidemiology of these tumors. This is the first CBTRUS Report to provide the distribution of molecular markers for selected brain and CNS tumor histologies. All rates are age-adjusted using the 2000 US standard population and presented per 100,000 population.

Incidence

  • The average annual age-adjusted incidence rate (AAAIR) of all malignant and non-malignant brain and other CNS tumors was 24.25 per 100,000 between 2014 and 2018.

  • This overall rate was higher in females compared to males (26.95 versus 21.35 per 100,000) and non-Hispanics (of any race) compared to Hispanics (24.68 versus 22.12 per 100,000).

  • The AAAIR of malignant brain and other CNS tumors was 7.06 per 100,000.

  • The AAAIR of non-malignant brain and other CNS tumors was 17.18 per 100,000.

  • Approximately 29.1% of all brain and other CNS tumors were malignant and 70.9% were non-malignant, which makes non-malignant tumors more than twice as common as malignant tumors.

  • The most commonly occurring malignant brain and other CNS tumor was glioblastoma (14.3% of all tumors and 49.1% of malignant tumors), and the most common non-malignant tumor was meningioma (39% of all tumors and 54.5% of non-malignant tumors). Glioblastoma was more common in males, and meningioma was more common in females.

  • In children and adolescents (age 0–19 years), the AAAIR of malignant and non-malignant brain and other CNS tumors was 6.21 per 100,000 between 2014 and 2018. Incidence was higher in females compared to males (6.33 versus 6.10 per 100,000), Whites compared to Blacks (6.42 versus 4.87 per 100,000), and non-Hispanics compared to Hispanics (6.50 versus 5.35 per 100,000).

  • An estimated 88,190 new cases of malignant and non-malignant brain and other CNS tumors are expected to be diagnosed in the US in 2021. This includes an expected 25,690 malignant and 62,500 non-malignant tumors.

Mortality

  • There were 83,029 deaths attributed to malignant brain and other CNS tumors between 2014 and 2018 This represents an average annual mortality rate of 4.43 per 100,000, and an average of 16,606 deaths per year caused by malignant brain and other CNS tumors.

Survival

  • The five-year relative survival rate following diagnosis of a malignant brain and other CNS tumor was 66.9%. Survival following diagnosis with a malignant brain and other CNS tumor was highest in persons age 0–14 years (84.1%) and age 15–39 years (84.7%) as compared to those age 40+ years (65.6%).

  • The five-year relative survival rate following diagnosis of a non-malignant brain and other CNS tumor was 92.1%. Survival following diagnosis with a non-malignant brain and other CNS tumor was highest in persons age 15–39 years (98.3%) and age 0–14 years (97.5%) as compared to those age 40+ years (90.7%).

Introduction

The objective of the CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2014–2018 is to provide a comprehensive summary of the current descriptive epidemiology of primary brain and other central nervous system (CNS) tumors in the United States (US) population. The Central Brain Tumor Registry of the United States (CBTRUS) obtained the latest available population-based data on all newly diagnosed primary brain and other CNS tumors from the Centers for Disease Control and Prevention’s (CDC) National Program of Cancer Registries (NPCR), and the National Cancer Institute’s (NCI) Surveillance, Epidemiology, and End Results (SEER) program for diagnosis years 2014–2018. Incidence counts and rates of primary malignant and non-malignant brain and other CNS tumors are presented by histology, sex, age, race, Hispanic ethnicity, and geographic location. Mortality rates calculated using the National Center for Health Statistics (NCHS) National Vital Statistics System (NVSS) data from 2014–2018, and relative survival rates, median survival and adjusted hazard ratios (HRs) for selected malignant and non-malignant histologies calculated using NPCR data for the period 2001–2017 (2004–2017 for non-malignant tumors), are also presented. This report is the first CBTRUS annual Statistical Report to provide the distribution of molecular markers for selected brain and CNS tumor histologies.

Background

CBTRUS is a unique professional research organization that focuses exclusively on providing high-quality statistical data on the population-based incidence of primary brain and other CNS tumors in the US (for more information on CBTRUS see: http://www.cbtrus.org/about/).1 CBTRUS was incorporated as a nonprofit 501(c)(3) in 1992 following a study conducted by the American Brain Tumor Association (ABTA) to determine the feasibility of a population-based central registry focused on all primary brain and other CNS tumors in the US.

This report represents the twenty-ninth (29th) anniversary of CBTRUS and the twenty-fourth (24th) statistical report published by CBTRUS. For this tenth (10th) report published as a Supplement to Neuro-Oncology, the official journal of the Society for Neuro-Oncology (http://www.soc-neuro-onc.org), CBTRUS continues its past efforts to provide the most up-to-date population-based incidence rates for all primary brain and other CNS tumors by behavior (malignant, non-malignant), histology, age, sex, race, and Hispanic ethnicity. These data have been organized by clinically relevant histology groupings and reflect the 2016 World Health Organization (WHO) Classification of Tumours of the Central Nervous System.2 These data provide important information for allocation and planning of specialty healthcare services such as clinical trials, disease prevention and control programs, and research activities. These data may also lead to clues that will stimulate research into the causes of this group of diseases, which often result in significant morbidity and mortality.

CBTRUS is currently the only population-based site-specific registry in the US that works in partnership with a public cancer surveillance organization, the CDC’s NPCR, and from which data are directly received through the NPCR Cancer Surveillance System (NPCR-CSS) Submission Specifications mechanism3 under a special agreement. Collection of central (state) cancer data was mandated in 1992 by Public Law 102–515, the Cancer Registries Amendment Act.4 This mandate was expanded to include non-malignant CNS tumors with the 2002 passage of Public Law 107–260, starting January 1, 2004.5 CBTRUS combines the NPCR data with data from the NCI’s SEER program,6 which was established for national cancer surveillance in the early 1970s. All data from NPCR and SEER originate from tumor registrars who adhere to the Uniform Data Standards (UDS) for malignant and non-malignant brain and other CNS tumors as directed by the North American Association of Cancer Registries (NAACCR) (http://www.naaccr.org). Along with the UDS, there are quality control checks and a system for rating each central cancer registry (CCR) to ensure that these data are as accurate and complete as possible. As a surveillance partner, CBTRUS reports high-quality data on brain and other CNS tumors with histological specificity useful to the communities it serves.

The CBTRUS database is comprised of the largest histology-specific aggregation of population-based data limited to the incidence and survival of primary brain and other CNS tumors in the US, and it is likely the largest histology-specific aggregation of primary brain and other CNS tumor cases in the world. The CBTRUS database now includes both survival data from 42 CCR and incidence data from all 52 CCR in the US and Puerto Rico. There are several other brain-specific registry systems in existence, including the Canadian Brain Tumor Registry,7 the Austrian Brain Tumor Registry,8 and the Swedish Brain Tumor Registry,9 as well as other population-based epidemiological studies of primary brain and other CNS tumors that cover a smaller population base. Due to the demographics of the US as compared to European countries, CBTRUS includes a greater proportion of cases of primary brain and other CNS tumors in non-White persons. Aggregate information on all cancers from all CCR in the US, including primary brain and other CNS tumors, is available from the United States Cancer Statistics (USCS).10

The CBTRUS Histology Grouping Scheme

There are over 100 histologically distinct types of primary CNS tumors, each with its own spectrum of clinical presentations, treatments, and outcomes. These histologies are reviewed periodically by neuropathologists and published by the World Health Organization (WHO) in Classification Reports known as “Blue Books”. Blue Books are published for all cancer sites by WHO and utilize the International Classification of Diseases for Oncology, third edition (ICD-O-3) for assignment of histology, behavior, and site codes. Beginning with this 2021 Statistical Report, CBTRUS is using Histology Groupings according to 2016 WHO Classification of Tumours of the Central Nervous System.

Anatomic Location of Tumor Sites

Various terms are used to describe the regions of the brain and other CNS. The specific sites used in this report are based on the topography codes found in ICD-O-3 and are broadly based on the categories and site codes defined in the SEER Site/Histology Validation List.22 CBTRUS groups ICD-O-3 sites C71.8 (Overlapping lesion of the brain) and C71.9 (Brain, NOS) into “Other brain,” and C72.8 (Overlapping lesion of brain and central nervous system) and C72.9 (Nervous system, NOS) into “Other nervous system” for display in figures. This report also presents counts and incidence for specific sites separately in its tables. See Table 1 for the CBTRUS primary site groupings.

Table 1.

Central Brain Tumor Registry of the United States (CBTRUS), Brain and Other Central Nervous System Tumor Site Groupings

Site ICD-O-3a Site Code
Frontal lobe of brain C71.1
Temporal lobe of brain C71.2
Parietal lobe of brain C71.3
Occipital lobe of brain C71.4
Cerebrum C71.0
Ventricle C71.5
Cerebellum C71.6
Brain stem C71.7
Other brain C71.8-C71.9
Overlapping lesion of brain C71.8
Brain, NOS C71.9
Spinal cord and cauda equina C72.0-C72.1
Spinal cord C72.0
Cauda equina C72.1
Cranial nerves C72.2-C72.5
Olfactory nerve C72.2
Optic nerve C72.3
Acoustic nerve C72.4
Cranial nerve, NOS C72.5
Other nervous system C72.8-C72.9
Overlapping lesion of brain and central nervous system C72.8
Nervous system, NOS C72.9
Meninges (cerebral & spinal) C70.0-C70.9
Cerebral meninges C70.0
Spinal meninges C70.1
Meninges, NOS C70.9
Pituitary and craniopharyngeal duct C75.1-C75.2
Pituitary gland C75.1
Craniopharyngeal duct C75.2
Pineal gland C75.3
Olfactory tumors of the nasal cavityb C30.0

a International Classification of Diseases for Oncology, 3rd Edition, 2000. World Health Organization, Geneva, Switzerland.

b ICD-O-3 histology codes 9522–9523 only.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NOS, not otherwise specified.

Classification by Histology

The ICD-O-3 codes in this current CBTRUS Grouping11 may include morphology codes that were not previously reported to CBTRUS.12 Gliomas are tumors that arise from glial or precursor cells and include astrocytoma (including glioblastoma), oligodendroglioma, ependymoma, oligoastrocytoma (mixed glioma), and a few rare histologies. Because there is no standard definition for glioma, CBTRUS defines glioma as ICD-O-3 histology codes 9380–9384, and 9391–9460 as starred in Table 2. It is also important to note that the statistics for lymphomas and hematopoietic neoplasms contained in this report refer only to those lymphomas and hematopoietic neoplasms that arise in the brain and other CNS ICD-O-3 topography codes.

Table 2.

Central Brain Tumor Registry of the United States (CBTRUS), 2021 Brain and Other Central Nervous System Tumor Histology Groupings

Histology ICD-O-3aHistology Codesb ICD-O-3a Histology and Behavior Codeb
Malignant Non-Malignant
Diffuse Astrocytic and Oligodendroglial Tumors
Diffuse astrocytoma* 9381, 9400, 9410, 9411, 9420, 9442 9381/3, 9400/3, 9410/3, 9411/3, 9420/3 9442/1
Anaplastic astrocytoma* 9401 9401/3 None
Glioblastoma* 9440, 9441, 9442/3, 9445c 9440/3, 9441/3, 9442/3, 9445/3 None
Oligodendroglioma* 9450 9450/3 None
Anaplastic oligodendroglioma* 9451, 9460 9451/3, 9460/3 None
Oligoastrocytic tumors* 9382 9382/3 None
Other Astrocytic Tumors
Pilocytic astrocytoma* 9421, 9425
c
9421/1, 9425/3 None
Unique astrocytoma variants* 9384, 9424, 9431
c
9424/3 9384/1, 9431/1
Ependymal tumors* 9383, 9391 (excluding site C75.1 for behavior /1), 9392- 9394, 9396
c
9391/3, 9392/3, 9393/3, 9396/3 9383/1, 9391/1 (excluding site C75.1), 9394/1
Other Gliomas
Glioma malignant, NOS* 9380, 9385
c
9380/3, 9385/3 None
Other neuroepithelial tumors* 9423, 9430, 9444 9423/3, 9430/3 9444/1
Neuronal and Mixed Neuronal-Glial Tumors* 8680, 8681, 8690, 8693, 9412, 9413, 9442/1, 9490, 9492 (excluding site C75.1), 9493, 9505, 9506, 9509
c, 9522 (site C30.0 only), 9523 (site C30.0 only)
8680/3, 8693/3, 9490/3, 9505/3, 9509/3, 9522/3 (site C30.0 only), 9523/3 (site C30.0 only) 8680/0,1, 8681/1, 8690/1, 8693/1, 9412/1, 9413/0, 9442/1, 9490/0, 9492/0 (excluding site C75.1), 9493/0, 9505/0,1, 9506/1, 9509/1
Choroid Plexus Tumors 9390 9390/3 9390/0,1
Tumors of the Pineal Region 9360, 9361, 9362, 9395
c
9362/3, 9395/3 9360/1, 9361/1
Embryonal Tumors 8963, 9364, 9470-9478
c, 9480, 9500, 9501/3, 9502/3, 9508
8963/3, 9364/3, 9470/3, 9471/3, 9472/3, 9473/3, 9474/3, 9475/3, 9476/3, 9477/3, 9478/3, 9480/3, 9500/3, 9501/3, 9502/3, 9508/3 None
Tumors of Cranial and Paraspinal Nerves
Nerve sheath tumors 9540, 9541, 9550, 9560, 9561, 9570, 9571 9540/3, 9560/3, 9561/3, 9571/3 9540/0,1, 9541/0, 9550/0, 9560/0,1, 9570/0, 9571/0
Other tumors of cranial and paraspinal nerves 9562, 9563 None 9562/0, 9563/0
Tumors of Meninges
Meningioma 9530-9535, 9537- 9539 9530/3, 9538/3, 9539/3 9530/0,1, 9531/0, 9532/0, 9533/0, 9534/0, 9535/0, 9537/0, 9538/1, 9539/1
Mesenchymal tumors 8324, 8710, 8711, 8800-8806, 8810, 8811, 8815, 8821, 8824, 8825, 8830, 8831, 8835, 8836, 8840, 8850-8854, 8857, 8861, 8870, 8880, 8890, 8897, 8900-8902, 8910, 8912, 8920, 8921, 8935, 8990, 9040, 9120, 9125, 9130, 9131, 9133, 9136, 9150, 9161, 9170, 9180, 9210, 9220, 9231, 9240, 9241, 9243, 9260, 9370-9373 8710/3, 8711/3, 8800/3, 8801/3, 8802/3, 8803/3, 8804/3, 8805/3, 8806/3, 8810/3, 8811/3, 8815/3
c, 8825/3, 8830/3, 8840/3, 8850/3, 8851/3, 8852/3, 8853/3, 8854/3, 8857/3, 8890/3, 8900/3, 8901/3, 8902/3, 8910/3, 8912/3, 8920/3, 8921/3, 8935/3 , 8990/3, 9040/3, 9120/3, 9130/3, 9150/3, 9170/3, 9180/3, 9220/3, 9231/3, 9240/3, 9243/3, 9260/3, 9370/3, 9371/3, 9372/3
8324/0, 8711/0, 8800/0, 8810/0, 8811/0, 8815/0,1
c, 8821/1, 8824/0,1, 8825/0,1, 8830/0,1, 8831/0, 8835/1, 8836/1, 8840/0, 8850/0,1, 8851/0, 8852/0, 8854/0, 8857/0, 8861/0, 8870/0, 8880/0, 8890/0,1, 8897/1, 8900/0, 8920/1, 8935/0,1, 8990/0,1, 9040/0, 9120/0, 9125/0, 9130/0,1, 9131/0, 9136/1, 9150/0,1, 9161/0,1, 9170/0, 9180/0, 9210/0, 9220/0, 9241/0, 9373/0
Primary melanocytic lesions 8720, 8728, 8770 8720/3, 8728/3, 8770/3 8728/0,1, 8770/0
Other neoplasms related to the meninges None None None
Lymphomas and Hematopoietic Neoplasms
Lymphoma 9590, 9591, 9596, 9650-9655, 9659, 9661-9665, 9667, 9670, 9671, 9673, 9675, 9680, 9684, 9687, 9688, 9690, 9691, 9695, 9698, 9699, 9701, 9702, 9705, 9712, 9714, 9715, 9719, 9724, 9727-9729, 9735, 9737, 9738, 9750, 9751, 9755, 9756, 9811-9819, 9823, 9826, 9827, 9831, 9832, 9837, 9861, 9866, 9930, 9965, 9966, 9967, 9970, 9971, 9975 9590/3, 9591/3, 9596/3, 9650/3, 9651/3, 9652/3, 9653/3, 9654/3, 9655/3, 9659/3, 9661/3, 9662/3, 9663/3, 9664/3, 9665/3, 9667/3, 9670/3, 9671/3, 9673/3, 9675/3, 9680/3, 9684/3, 9687/3, 9688/3, 9690/3, 9691/3, 9695/3, 9698/3, 9699/3, 9701/3, 9702/3, 9705/3, 9712/3, 9714/3, 9715/3, 9719/3, 9724/3, 9727/3, 9728/3, 9729/3, 9735/3, 9737/3, 9738/3, 9750/3, 9751/3, 9755/3, 9756/3, 9811/3, 9812/3, 9813/3, 9814/3, 9815/3, 9816/3, 9817/3, 9818/3, 9819/3, 9823/3, 9826/3, 9827/3, 9831/3, 9837/3, 9861/3, 9866/3, 9930/3, 9965/3, 9966/3, 9967/3, 9971/3, 9975/3 9750/1, 9751/1, 9766/1, 9970/1
Other hematopoietic neoplasms 9731, 9733, 9734, 9740, 9741, 9749, 9752-9754, 9757-9758, 9759, 9760, 9766, 9860, 9731/3, 9733/3, 9734/3, 9740/3, 9741/3, 9749/3, 9753/3, 9754/3, 9756/3, 9757/3, 9758/3, 9759/3, 9760/3, 9766/3, 9823/3, 9826/3, 9827/3, 9832/3, 9860/3 9740/1, 9752/1, 9753/1, 9766/1
Germ Cell Tumors 8440, 9060, 9061, 9064, 9065, 9070-9072, 9080-9083, 9084/3, 9085, 9100, 9101 8440/3, 9060/3, 9061/3, 9064/3, 9065/3, 9070/3, 9071/3, 9072/3, 9080/3, 9081/3, 9082/3, 9083/3, 9084/3, 9085/3, 9100/3, 9101/3 8440/0, 9080/0,1
Tumors of Sellar Region
Tumors of the pituitary 8040 (site C75.1 only), 8140 (site C75.1 only), 8146 (site C75.1 only), 8246, 8260 (site C75.1 only), 8270-8272, 8280, 8281, 8290, 8300, 8310, 8323, 9391/1 (site C75.1 only), 9432
(site C75.1 only), 9492 (site C75.1 only), 9580, 9582
8140/3, 8246/3, 8260/3, 8270/3, 8272/3, 8280/3, 8281/3, 8290/3, 8300/3, 8310/3, 8323/3, 9580/3 8040/0,1, 8140/0,1, 8146/0, 8260/0, 8270/0, 8271/0, 8272/0, 8280/0, 8281/0, 8290/0, 8300/0, 8310/0, 8323/0, 9391/1 (site C75.1 only), 9432/1, 9492/0 (site C75.1 only), 9580/0, 9582/0
Craniopharyngioma 9350-9352 None 9350/1, 9351/1, 9352/1
Unclassified Tumors
Hemangioma 9121-9123, 9133, 9140 9133/3, 9140/3 9121/0, 9122/0, 9123/0, 9133/1
Neoplasm, unspecified 8000-8005, 8010, 8020, 8021 8000/3, 8001/3, 8002/3, 8003/3, 8004/3, 8005/3, 8010/3, 8020/3, 8021/3 8000/0,1, 8001/0,1, 8005/0, 8010/0
All other 8320, 8452, 8713, 8896, 8963, 8980, 9084/0, 9173, 9363, 9503 8320/3, 8452/3, 8896/3, 8980/3, 9503/3 8452/1, 8713/0, 9084/0, 9173/0, 9363/0

aInternational Classification of Diseases for Oncology, 3rd Edition, 2000. World Health Organization, Geneva, Switzerland.

bSee the CBTRUS website for additional information about the specific histology codes included in each group: http://www.cbtrus.org.

cAdded starting with diagnosis year 2018.

*All or some of this histology is included in the CBTRUS definition of gliomas, including ICD-O-3 histology codes 9380-9384, 9391-9460.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NOS, not otherwise specified.

This report also utilizes the International Classification of Childhood Cancer (ICCC) grouping system for pediatric brain and other CNS tumors. ICCC categories for this report were generated using the SEER Main and Extended Classification for ICCC Recode ICD-O-3/WHO 200813 based on the ICCC, Third edition14,15 and 2007 WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues16 (See Supplementary Table 1 for more information on this classification scheme). The ICCC was developed to provide a standard classification of childhood tumors for comparing incidence and survival across global geographic regions and time periods.

Classification by Behavior

Primary brain and other CNS tumors can be broadly classified in non-malignant (ICD-O-3 behavior codes of /0 for benign and /1 for uncertain) and malignant (ICD-O-3 behavior code of /3) (Table 2). Collection of central (state) cancer data was mandated in 1992 by Public Law 102–515 for all primary malignant tumors (ICD-O-3 behavior code of /3) (Table 2), the Cancer Registries Amendment Act.4 This mandate was expanded to include non-malignant brain and other CNS tumors (ICD-O-3 behavior code of /0 and /1) with the 2002 passage of Public Law 107–260, starting January 1, 2004.5 Collection of metastatic tumors are not included in these public laws, and therefore not included in cancer reporting in the US. CBTRUS reports data on all brain and other CNS tumors irrespective of behavior, whereas many reporting organizations may only publish rates for primary malignant brain and other CNS tumors due to the original mandate that focused only on primary malignant tumors, sometimes using the term cancer to broadly identify these tumors in their reports. These differences in definition therefore influence the direct comparison of published rates in other surveillance reports.

Classification by WHO Grade

Unlike other types of cancer which are staged according to the American Joint Commission of Cancer (AJCC) Collaborative Staging (CS) schema, primary brain and other CNS tumors are not staged. They are classified according to the WHO 2000 Classification of Tumours of the Central Nervous System17 which assigns a grade (grade I through grade IV) based on predicted clinical behavior. Though the WHO classification scheme was also updated in 200718 and 20162 these updated schema were not fully implemented by US CCR until collection year 2018 or reporting year 2021. Updates made in 2007 and 2016 may affect diagnostic practices used in characterization of individual tumors included in this report.

The WHO grading assignments are recorded by cancer registrars as Collaborative Stage Site-Specific Factor (SSF)1 - WHO Grade Classification as directed in the AJCC Chapter 72 on Brain and Spinal Cord19 (2014–2017), Site-Specific Data Items (SSDI) Grade Pathological (2018+), and SSDI Grade Clinical (2018+). Site-specific factor variables were a required component of cancer registry data collection for brain and other CNS tumors beginning in 2004 for SEER registries, and beginning in 2011 for NPCR registries, and completeness of these variables have improved significantly over time.20,21 SSDI Grade Pathological, and SSDI Grade Clinical are newly added variables and are available for the first time for reporting in 2021.

Completeness of this variable is defined as having a value equal to WHO grade I, II, III, or IV. Cases where WHO grade is marked as not applicable or not documented are considered incomplete. It is not possible to conclusively determine WHO grade, which is based on the appearance of tumor cells, when a tumor is radiographically confirmed only. Some tumor types (including tumors of the pituitary and lymphomas) are often not assigned a WHO grade. This information may also be assigned but not included in the pathology report.

Comparison with prior CBTRUS grouping scheme

CBTRUS reports data on brain and other CNS tumors according to the clinical standards found in the World Health Organization (WHO) classifications. In 2016, a revised classification entitled 2016 WHO Classification of Tumours of the Central Nervous System was published. It included new histologies, some of which contained molecular markers necessary for accurate diagnosis. CBTRUS successfully petitioned NAACCR, the surveillance standard setter in the US to include the biomarkers embedded in histologies found in 2016 WHO into the Uniform Data Standards (UDS) guiding US cancer reporting practices. Collection of these biomarkers found in the 2016 WHO began January 1, 2018. CBTRUS presents data using the newly developed 2021 CBTRUS Histology Grouping for the first time with this Report. This grouping scheme was developed by cross-referencing all ICD-O-3 histology and behavior codes using four sources to ensure complete capture of all pertinent brain and other CNS tumor histologies, including obsolete histology terms found in ICD-O-3, These sources included: 2016 WHO Classification of Tumours of the Central Nervous System, 2007 WHO Classification of Tumours of the Central Nervous System, the International Classification of Diseases for Oncology Third Edition, and Table 2 from the 2020 CBTRUS Statistical Report, Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States, 2013–2017. The Working Group reviewed sequentially the draft document of the histologies listed under the 2016 WHO Histology Groupings. Corresponding changes were subsequently made and sent to the Neuropathology Team members of the Working Group for final confirmation. Two additional pathologists with expertise in solid tumors and in lymphomas were consulted to help with specific 2016 WHO Histology Groupings. The CBTRUS 2021 Histology Groupings are presented in Table 2. The expected publication of the 2021 WHO Classification will incur additional updating of the CBTRUS 2021 Groupings. CBTRUS plans to work with the UDS Committee to include 2021 WHO Classification changes in cancer reporting mindful that implementation is bound by the UDS timeline.

Brain Tumor Definition Differences

Currently, NPCR, SEER, and NAACCR report primary brain and other CNS tumors differently from CBTRUS. The definition of primary brain and other CNS tumors used by these organizations in their published incidence and mortality statistics includes tumors located in the following sites with their ICD-O-3 site codes in parentheses: brain, meninges, and other CNS tumors (C70.0–9, C71.0–9, and C72.0–9), but excludes lymphoma and leukemia histologies (9590–9989) from all brain and other CNS sites.23 In contrast, CBTRUS reports data on all tumor morphologies located within the Consensus Conference site definition including lymphoma and other hematopoietic histologies, tumors of the pituitary, as well as olfactory tumors of the nasal cavity [C30.0 (9522–9523)].12 Additionally, CBTRUS reports data on all primary brain and other CNS tumors irrespective of behavior, whereas many reporting organizations may only publish rates for malignant brain and other CNS tumors due to the original mandate that focused only on malignant tumors, sometimes using the term cancer to broadly identify these tumors in their reports. These differences in definition therefore influence the direct comparison of published rates.

CBTRUS is currently engaged in ongoing collaboration with other cancer registry reporting groups, including SEER, to harmonize brain tumor reporting definitions. Therefore, it is likely that these reporting differences will cease to exist in the future.

Pilocytic astrocytoma is clinically considered and classified as a Grade I, non-malignant (ICD-O-3 behavior code of /1) tumor by the World Health Organization (WHO) guidelines for brain and other central nervous system (CNS) tumors.2 For the purposes of cancer registration, these tumors have historically been reported as malignant (ICD-O-3 behavior code of /3) tumors both in the US and by the International Agency for Research on Cancer and International Association of Cancer Registries.24,25 Classification of these tumors as malignant has been followed by CBTRUS in its reporting unless otherwise stated. This practice does not correlate with clinical classification and presents a challenge to correctly report population-based incidence and survival patterns associated with these tumors. Please see a recent publication for additional discussion of the effect of this classification on cancer incidence and survival reporting.26

In the US, cancer registries and surveillance groups only collect data on primary CNS tumors (meaning tumors that originate within the brain and spinal cord) and do not collect data on tumors that metastasize to the brain or spinal cord from other primary sites. As a result, only primary brain and other CNS tumors are included in this report.

TECHNICAL NOTES

Data Collection

CBTRUS does not collect data directly from patients’ medical records. Registration of individual cases (tumors) is conducted by cancer registrars at the institution where diagnosis and/or treatment occur and is then transmitted to the CCR, which further transmits this information to NPCR and/or SEER. Some CCRs also send their data to SEER; data from those CCRs are taken from the NPCR file to eliminate duplicate cases. As noted, data for CBTRUS analyses come from the NPCR and SEER programs. By law, all primary malignant and non-malignant CNS tumors are reportable diseases and CCRs play an essential role in the collection process. Brain and other CNS tumors are reported using the site definition described in Public Law 107–260.5 These data are population-based and represent a comprehensive documentation of all reported cancers diagnosed within a geographic region for the years included in this report.

CBTRUS obtained de-identified incidence data from 52 CCR (48 NPCR and 4 SEER) that include cases of malignant and non-malignant (benign and uncertain behaviors) primary brain and other CNS tumors. The population-based CCR include 50 state registries, the District of Columbia, and Puerto Rico (Figure 1). Data were requested for all newly-diagnosed primary malignant and non-malignant tumors from 2014 to 2018 at any of the following International Classification of Diseases for Oncology, 3rdEdition (ICD-O-3) anatomic sites: brain, meninges, spinal cord, cranial nerves, and other parts of the central nervous system, pituitary and pineal glands, and olfactory tumors of the nasal cavity (ICD-O-3 site code C30.0 and histology codes 9522–9523 only) (Table 1).11

Fig. 1.

Fig. 1

Availability by Central Cancer Registry for SEER and NPCR Incidence (2014–2018) and Survival Data (2001–2017).

NPCR provided data on 432,693 primary brain and other CNS tumors diagnosed from 2014 to 2018 (Figure 2). An additional 13,283 primary brain and CNS tumor case records for the period were obtained from SEER for primary brain and other CNS tumor case records from 2014 to 2018 for Connecticut, Hawaii, Iowa, and New Mexico only. These data were combined into a single dataset of 445,976 records for quality control. A total of 11,939 records (2.7%) were deleted from the final analytic dataset for one or more of the following reasons:

Fig. 2.

Fig. 2

Overview of CBTRUS Data Edits Workflow, NPCR and SEER, 2014–2018.

  • Records with ICD-O-3 behavior code of /2 (indicates in situ cases, which is not a relevant classification for brain and other CNS tumors).

  • Records with an invalid site/histology combination according to the CBTRUS histology grouping scheme

  • Possible duplicate records that included a less accurate reporting source than microscopic confirmation, also referred to as histologic confirmation (e.g. radiographic versus microscopic confirmation), possible duplicate record for recurrent disease, or errors in time sequence of diagnosis

  • Possible duplicate records for bilateral vestibular schwannoma or meningioma that were merged to one paired-site record.

The final analytic dataset had 434,037 records, which included 431,733 records from the 50 state CCR and the District of Columbia used in the analytic dataset, and an additional 2,264 records from Puerto Rico. Records from Puerto Rico are included only in a supplementary analysis (see Supplemental Material), and these cases are not included in the overall statistics presented in this report.

Age-adjusted incidence rates per 100,000 population for the entire US for selected other cancers were obtained from the United States Cancer Statistics (USCS), produced by the CDC and the NCI, for the purpose of comparison with brain and other CNS tumor incidence rates.10 This database includes both NPCR and SEER data and represents the entire US population.

De-identified survival data for malignant brain and other CNS tumors were obtained from the US Cancer Statistics program for 42 NPCR registries for the years 2001 to 2017 and for non-malignant brain and other CNS tumors for the years 2004 to 2017. This dataset provides population-based information for 82% of the US population for the years 2001 to 2017 and is a subset of the data used for the incidence calculations presented in this report. Survival information is derived from both active and passive follow-up.

Mortality data used in this report are from the NVSS and include deaths where primary brain or other CNS tumor was listed as primary cause of death on the death certificate for individuals from all 50 states and the District of Columbia. These data were obtained from NVSS27 (includes death certification data for 100% of the US population) for malignant brain and other CNS tumors and comparison via SEER*Stat (for malignant brain tumors and comparison cancers). NVSS data are not collected through the cancer registration system. These data represent the primary cause of death listed on each individual death certificate, and as a result, deaths in persons with cancer may be recorded as non-cancer deaths.

Definitions

Measures in Surveillance Epidemiology

The CBTRUS Report presents the following population-based measures: incidence rates, mortality rates, observed survival (median survival time and hazard ratios) and relative survival rates (for more information on definitions of terms and measures used see: https://cbtrus.org/cbtrus-glossary/).

Variable Completeness in Cancer Registration

Obtaining the most accurate and complete cancer registration data possible is essential to generate accurate population-level statistics to guide public health planning. Agencies such as NAACCR and IACR have developed stringent standards for evaluation of cancer registry data quality, and evaluate each specific registry by multiple metrics before including it in analytic datasets.28,29 While many measures of quality and completeness are assessed across all cancer sites, some variables are pertinent only to specific sites and/or histologies and require special care. In the case of primary brain and other CNS tumors, variables such as WHO grade are not relevant to histologies (e.g. many tumors of the pituitary) that are not assigned a WHO grade. Variables like WHO grade may also not be expected to be found in the patient record for those who had their diagnosis confirmed via radiography as compared to histological examination. The report evaluates the completeness of multiple variables, including: WHO grade (applicable to specific brain and other CNS sites and histologies only) extent of surgical resection, and radiation treatment.

Statistical Methods

Statistical Software

Counts, means, medians, rates, ratios, proportions, and other relevant statistics were calculated using R 4.0 statistical software30 and/or SEER*Stat 8.3.9.31 Figures and tables were created in R 4.0.5 using the following packages: flextable, officer, orca, plotly, SEER2R, sf, survminer, tigris, and tidyverse.32–41 Rates are suppressed when counts are fewer than 16 within a cell but included in totals, except when data are suppressed from only one cell to prevent identification of the number in the suppressed cell. NOTE: reported percentages may not add up to 100% due to rounding.

Variable Definitions

CBTRUS presents statistics on the pediatric and adolescent age group 0–19 years as suggested by clinicians for clinical relevance. However, the 0–14 years age group is a standard age category for childhood cancer used by other cancer surveillance organizations and has been included in this report for consistency and comparison purposes.

Race categories in this report are all races: White, Black, American Indian/Alaskan Native (AIAN), and Asian/Pacific Islander (API). Other race, unspecified, and unknown race are included in statistics that are not race-specific. Hispanic ethnicity was defined using the NAACCR Hispanic Identification Algorithm, version 2, data element, which utilizes a combination of cancer registry data fields (Spanish/Hispanic Origin data element, birthplace, race, and surnames) to directly and indirectly classify cases as Hispanic or non-Hispanic.42

Estimation of Incidence Rates and Incidence Rate Ratios

Population data for each geographic region were obtained from the SEER program website43 for the purpose of rate calculation. All rates presented in this statistical report are age-adjusted. Crude incidence rates are calculated by dividing the total number of cases by the total population and cannot be compared to crude rates from other populations where the age distribution is different. Age-adjustment is a technique that is used to enable comparison between groups with different age distributions, such as rates between different states. Rates that have been age-adjusted are estimates of what the crude rate would be if the age distribution is equivalent to a standard population. Average annual age-adjusted incidence rates (AAAIR), average annual age-adjusted mortality rates, and 95% confidence intervals (95% CI) were estimated per 100,000 population based on one-year age groups and were standardized to the 2000 US standard population.44 The age distribution of the 2000 US standard population is presented in Supplementary Table 2. Combined populations for the regions included in this report are also presented in Supplementary Table 3 and Supplementary Table 4.

Incidence rate ratios (IRR) were generated based on these age-adjusted incidence rates. These IRR were used to compare groups, using the formulas described by Fay et al. to calculate p-values.45 Incidence rate ratios were considered statistically significantly different when the p-value was less than 0.05.

When comparing two rates to one another, it is important to consider whether they are truly different or whether the difference in the estimates may be due to random error. Two methods are used in this report for determining whether two values are ‘significantly different,’ meaning whether the evidence meets a level of strength (usually a 5% chance of error) where the difference can be assumed to not be due to random error. The first is the use of a 95% confidence interval (CI), which were calculated for all presented rates in this Report. A 95% CI is a range around an estimate, which, if sampling of the population were to be repeated, should contain the ‘true’ value for the population 95% of the time. If the CI of two estimates do not overlap, these values are considered significantly different with a less than 5% probability of happening by chance. The second method used is the calculation of p-values. A p-value is the probability of finding the observed or more extreme results by chance alone, and a p-value of <0.05 (or <5% chance of results being due to chance) is conventionally used as a cut-off for considering a value statistically significant. Therefore, a p-value <0.0001 could be interpreted as meaning the observed value (or a more extreme value) had a <0.01% chance of occurring by chance alone, and the difference can be considered statistically significant at the 0.01% level.

Estimation of Expected Numbers of Brain and Other CNS Tumors in 2020 and 2021

Estimated numbers of expected primary malignant and non-malignant brain and other CNS tumors were calculated for 2021 and 2022. To project estimates of newly diagnosed brain and other CNS tumors in 2021 and 2022, age-adjusted annual brain tumor incidence rates were generated for 2000–2018 for malignant tumors, and 2006–2018 for non-malignant tumors. These were generated by state, age, and histologic type. Joinpoint 4.9.0.046 was used to fit regression models to these incidence rates,47 which were used to predict numbers of cases in future years using the parameter from the selected models. Joinpoint regression allows for multiple lines to be fitted to incidence data across time, rather than assuming a consistent trend across the whole period. The points where these lines intersect are called ‘joinpoints’. The models allowed for a maximum of two joinpoints (one for non-malignant tumors), a minimum of three observations from a joinpoint to either end of the data, and a minimum of three observations between joinpoints.48 Modified Bayesian Information Criterion procedures included in Joinpoint were used to select the best fitting model. The overall totals presented are based on total malignant and non-malignant incidence, and the presented stratified rates may not add up to these totals. Estimated numbers of cases are highly dependent on input data. Different patterns of incidence within strata can significantly affect the projected estimates, especially when the number of cases within a stratum is low. For state-specific projections, a model with no joinpoints was used to generate predictions as annual variability within some states was extremely high. As a result, strata-specific estimates may not equal the total estimate presented. Caution should be used when utilizing these estimates.

Estimation of Mortality Rates for Brain and Other CNS Tumors

Age-adjusted mortality rates for deaths resulting from all primary malignant brain and other CNS tumors were calculated using the mortality data available in SEER*Stat Online Database provided by NCHS from death certificates per 100,000 population.49 These data were available for 50 states and the District of Columbia only. In addition to the total age-adjusted rate for the US, age-adjusted rates are presented by sex and state.

Survival Measures Used in This Report

Relative Survival Rates.

Relative survival is a way of presenting survival patterns at a population level that is commonly used in cancer statistics reporting. This measure is presented as a percent of people living a period of time (e.g. five years after their diagnosis). Relative survival is calculated using observed survival (the percentage of people diagnosed with cancer that live to the period of time for which relative survival is calculated) and estimated survival (the percent of the general population of the same age that is expected to survival after being followed for that same period of time). This adjustment for estimated survival attempts to exclude deaths that would otherwise have occurred due to other causes. For example, if five-year relative survival for glioblastoma is 5%, that means that out of every hundred people diagnosed with glioblastoma five will be living five years after diagnosis, excluding deaths due to other causes.

SEER*Stat 8.3.6 statistical software was used to estimate one-, two-, three-, four-, five-, and ten-year relative survival rates for primary malignant and non-malignant brain and other CNS tumor cases diagnosed between 2004–2017 in 42 NPCR CCRs. This software utilizes life-table (actuarial) methods to compute survival estimates and accounts for current follow-up. Second or later primary tumors, cases diagnosed at autopsy, cases in which race or sex is coded as other or unknown, and cases known to be alive but for whom follow-up time could not be calculated, were excluded from survival data analyses.

Observed Survival with Median Survival Times and Adjusted Hazard Ratios.

Median survival time is another way of presenting survival patterns in a population. This measure is calculated using a method called a Kaplan Meier estimator, which is used to estimate the proportion of individuals within a set that are alive at particular time points. The median survival time is the point at which exactly 50% of individuals have either died or been ‘censored’, meaning that their further survival status is unknown beyond a particular date.

Median survival time for all primary malignant brain and other CNS tumors diagnosed between 2001–2017 in 42 NPCR CCRs was calculated by histology using the Kaplan Meier method in R 4.0.5 statistical software30 overall, as well as by three age groups (0–14 years old, 15–39 years old, and 40+ years old). Second or later primary tumors, cases diagnosed at autopsy, cases in which race or sex is coded as other or unknown, and cases known to be alive but for whom follow-up time could not be calculated, were excluded from survival data analyses. NAACCR data item #1787, survival months presumed alive, was used to ascertain follow-up information.

The hazard ratio is a measure of how often an event (in this case, death) occurs in one group as compared to another group over time. A hazard ratio of one means that survival is equal in both groups, while a ratio of less than one means that survival is better in the comparison group than in the reference group. A ratio of greater than one means that survival is worse in the comparison group than in the reference group.

Cox proportional hazard models were used to test associations between demographic factors and overall survival by histology for malignant brain and other CNS tumors. All models were adjusted for age at diagnosis group (0–14 years [reference], 15–39 years, 40+ years), sex (male [reference], female), and race and ethnicity (White Non-Hispanic [reference], Black Non-Hispanic, AIAN Non-Hispanic, API Non-Hispanic, and Hispanic All Races). These models were used to estimate hazard ratios associated with each group and corresponding 95% confidence intervals and p-values. Adjusted estimates included all covariates (age at diagnosis, sex, race, and ethnicity) a priori, regardless of individual significance level. The proportional hazards assumption was tested separately by histology, and residuals were examined for all variables.

Estimation of Incidence Time Trends.

Joinpoint 4.9.0.046 was used to estimate incidence time trends and generate annual percentage changes (APC) and 95% CI. Rather than calculating a single consistent slope of change over an entire period of time, Joinpoint allows for points where the slope of the trend can change during the time period (joinpoints). This method starts with a model that assumes one consistent trend over time, and tests whether the addition of these ‘joinpoints’ results in a model which has a fit that represents a statistically significant improvement over the model with no joinpoints. These models are tested through use of Monte Carlo permutations, e.g. the program repeats the same analysis multiple times using random samples to identify the ‘true’ proportion of times that a comparison is statistically significant. The models allowed for a maximum of three joinpoints (two for non-malignant tumors), a minimum of three observations from a joinpoint to either end of the time-period, and a minimum of three observations between joinpoints.48

APC is the average percent change in incidence per year over the period included in the trend segment. Time trends analysis methods were used to estimate if the APC was significantly different from 0% (meaning no change in incidence from year to year). The 95% CI is a range around an estimate that, if sampling of the population were to be repeated, should contain the ‘true’ value for the population 95% of the time. If the 95% CI contains zero, one cannot be confident that the ‘true’ population APC value is significantly different from 0%. The joinpoint regression program fits a linear regression to annual incidence rates to test significance of changes overtime, with different trends lines connected at ‘joinpoints’ where there are changes in the direction of incidence trends. The best fitting model was determined through permutation tests, with a minimum of three observations required between two joinpoints, as well as a minimum of three observations required between a joinpoint and either end of the time-period.

Data Interpretation.

CBTRUS works diligently to support the broader surveillance efforts aimed at improving the collection and reporting of primary brain and other CNS tumors. CCR data provided to NPCR and SEER and, subsequently, to CBTRUS vary from year-to-year due to ongoing updates in collection and data refinement aimed to improve completeness and accuracy. Therefore, it is important to note that data from previous CBTRUS Reports cannot be compared to data in this current report, CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2014–2018. This current report supersedes all previous reports in terms of coverage of the US population with the most up-to-date population-based information available, making these data the most accurate and timely to reference.

Several factors should be considered when interpreting the data presented in this report:

  • Incident counts of cases represent individual tumors and not persons. A single person could contribute multiple primary tumor cases to the data included in this report. The 431,773 tumors from 50 state CCR and the District of Columbia, included in this report came from 426,029 individuals. Of these 426,029 individuals, there were 5,311 individuals (1.2%) that contributed information on multiple tumors (two or more) to this report.

  • Random fluctuations in average annual rates are common, especially for rates based on small case counts. The CBTRUS policy to suppress data in cells with counts of fewer than 16 cases is consistent with the NPCR policy.

  • A 2007 policy change guiding the Veterans Health Administration (VHA) may have resulted in probable underreporting of cancer data—especially for men—to CCRs. Recent investigations suggest that underreporting for VHA facilities has diminished over time, and that the Veterans Affairs Central Cancer Registry (VACCR) now captures approximately 87–90% of cases.50,51 It is important to note that improved reporting to VACCR does not necessarily mean that reporting to the state CCR has improved. The VACCR does not submit data directly to NPCR or SEER.

  • Delays in reporting and late ascertainment are a reality and a known issue influencing registry completeness and, consequently, rate underestimations occur, especially for the most recent years.52,53 The SEER and NPCR programs allow for reporting delay of up to 22–23 months prior to public data release, but additional cases may still be discovered after that point.54 On average across all cancer sites, the submissions for the most recent diagnosis year are approximately 4% lower than the total number of cases that will eventually be submitted. This problem may be even more likely to occur in the reporting of non-malignant brain and other CNS tumors, where reporting often comes from non-hospital-based sources, such as free-standing clinics or outpatient facilities.

  • Type of diagnostic confirmation may also lead to increased reporting delay, with histologically confirmed tumors being subject to less reporting delay than radiographically confirmed tumors. In 2016, a study assessing the incidence of non-malignant brain and other CNS tumors corroborated the large variation in incidence between CCRs reported in this statistical report.55 The reasons for this variation remain inconclusive but what is consistently noted is the correlation between high incidence and high proportion of non-malignant cases collected without microscopic confirmation or surgery, in other words, clinically diagnosed cases of non-malignant brain tumors. At this current time, given the variation across CCRs, there is potential evidence of underreporting of non-malignant brain and other CNS tumors, the extent to which cannot be quantified at this time.55

  • Population estimates used for denominators affect incidence rates. CBTRUS has utilized population estimates based on the 2000 US Census for calculation of incidence and mortality rates in this report, as is standard practice in US cancer registry reporting.56,57

CBTRUS editing practices are reviewed, revised, and conducted yearly. These practices are aimed at refining the data for accuracy and clinical relevance and play a role in interpreting these report data. Exclusion of site and histology combinations considered invalid by the consulting neuropathologists who revised the CBTRUS site/histology validation list in 2021 may have the impact of underestimating the incidence of brain and other CNS tumors. Editing changes, such as the Multiple Primary and Histology Rules issued in 2007 and revised in 2018,58,59 also incorporate updates to the cancer registration coding rules that influence case ascertainment and data collection.23

Supplemental Data

CBTRUS has made supplemental additional figures and tables available. These materials are noted in the text as Supplementary Tables and Figures.

Biomarkers.

Primary brain and other CNS tumors are a highly heterogeneous group of diseases, and characterization of unique tumor histologies within this group has been refined over time. The development of technologies for characterizing DNA, RNA, and DNA methylation has led to the discovery of several factors (known as ‘biomarkers’) that can be used to more accurately classify these tumors than histologic appearance alone. See Table 3 for a brief overview of selected biomarkers for primary brain and other CNS tumors and for discussion of pediatric biomarkers specifically. With the increased recognition of the value of biomarkers for specific brain tumor histologies in classification, the WHO Classification of Tumours of the Central Nervous System has included biomarkers in its 2016 revision. However, implementing the collection of these markers in cancer registration is multi-faceted and includes an ongoing educational and training component.

Table 3.

Summary of Biomarkers Identified for Primary Brain and Other CNS Tumors and Collection Status in Central Cancer Registries

Histology Gene or Marker Outcome Collected by US Cancer Registry System
Glioma (especially oligodendroglial tumors)a-e Large deletions (missing parts of the chromosome) in the short arm of chromosome 1 (1p) and the long arm of chromosome 19 (19q) Improved response to chemotherapy and radiation, and increased survival Yes
Site-specific factor (SSF) 5 (2011–2017), SSF 6 (2011–2017) Site-Specific Data Items (SSDI): Chromosome 19q Status (2018+), SSDI: Chromosome 1p Status (2018+)
Glioma (especially low grade astrocytomas and oligodendroglial tumors)d-f Protein-truncating mutation in isocitrate dehydrogenase 1 (IDH1) or in isocitrate dehydrogenase 2 (IDH2) Increased survival time Yes
SSDI: Brain Molecular Markers (2018+)
Glioma (especially IDH mutated glioma)d,g,h Loss of function mutation in alpha thalassemia/mental retardation syndrome X-linked (ATRX) Increased survival time No
Glioblastomae,i–m Methylation of the promoter of O-6-methylguanine-DNA methyltransferase (MGMT) Limits ability of the tumor cells to repair DNA damage caused by chemotherapy and radiation; results in increased survival time Yes
SSF 4 (2011–2017), SSDI: MGMT (2018+)
Glioma-CpG island methylator phenotype (G-CIMP), Genome-wide DNA methylation Significantly increased survival time No
Amplification of epidermal growth factor receptor (EGFR) Activates the RTK/RAS/PI3K pathway, leading to increased proliferation. Associated with poorer survival. No
Glioma (oligodendroglial tumors and IDH wild type glioblastoma)e,n,o Mutation of promotor of Telomerase reverse transcriptase (TERT) Facilitates increased telomere lengthening, and decreases survival in IDH wild type glioma No
Glioma (particularly pediatric lower grade gliomas)p Mutation or fusion of B-Raf (BRAF) Activates the RAS/MAPK pathway. Fusion leads to improved survival. No
Medulloblastomaq–u WNT-activated Low prevalence of metastatic disease
Highest five-year survival
Yes, Began in collection year 2018 (January 1), SSDI: Brain Molecular Markers (2018+)
SHH-activated and TP53-mutant Occur primary in older children, very poor prognosis Yes, Began in collection year 2018 (January 1), SSDI: Brain Molecular Markers (2018+)
SHH-activated and TP53-wildtype Most common in adolescents and young children, good prognosis Yes, Began in collection year 2018 (January 1), SSDI: Brain Molecular Markers (2018+)
non-WNT/non-SHH, Group 3 subtype (also known as Group C) Increased prevalence of metastatic disease, Poorest five-year survival
non-WNT/non-SHH, Group 4 subtype (also known as Group D) Increased prevalence of metastatic disease, Moderate five-year survival
Embryonal tumorv,w C19MC amplification and presence of multilayered rosettes Highly aggressive, with average survival of 12 months after diagnosis Yes, Began in collection year 2018 (January 1), SSDI: Brain Molecular Markers (2018+)

For more information please see:

aCairncross JG, et al. Specific genetic predictors of chemotherapeutic response and survival in patients with anaplastic oligodendrogliomas. J Natl Cancer Inst. 1998; 90(19):1473–1479.

bVogelbaum MA, et al. Phase II trial of pre-irradiation and concurrent temozolomide in patients with newly diagnosed anaplastic oligodendrogliomas and mixed anaplastic oligoastrocytomas: long term results of RTOG BR0131. Journal of neuro-oncology. 2015; 124(3):413–420.

cvan den Bent MJ, et al. Adjuvant procarbazine, lomustine, and vincristine chemotherapy in newly diagnosed anaplastic oligodendroglioma: long-term follow-up of EORTC brain tumor group study 26951. J. Clin. Oncol. 2013; 31(3):344–350.

dThe Cancer Genome Atlas Research Network, et al. Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas. N. Engl. J. Med. 2015; 372(26):2481–2498.

eCeccarelli M, et al. Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma. Cell. 2016; 164(3):550–563.

fYan H, et al. IDH1 and IDH2 mutations in gliomas. N. Engl. J. Med. 2009; 360(8):765–773.

gJiao Y, et al. Frequent ATRX, CIC, FUBP1 and IDH1 mutations refine the classification of malignant gliomas. Oncotarget. 2012; 3(7):709–722.

hWiestler B, et al. ATRX loss refines the classification of anaplastic gliomas and identifies a subgroup of IDH mutant astrocytic tumors with better prognosis. Acta Neuropathol. 2013; 126(3):443–451.

iHegi ME, et al. MGMT gene silencing and benefit from temozolomide in glioblastoma. N. Engl. J. Med. 2005; 352(10):997–1003.

jStupp R, et al. Chemoradiotherapy in malignant glioma: standard of care and future directions. J. Clin. Oncol. 2007; 25(26):4127–4136.

kHegi ME, et al. Correlation of O6-methylguanine methyltransferase (MGMT) promoter methylation with clinical outcomes in glioblastoma and clinical strategies to modulate MGMT activity. J. Clin. Oncol. 2008; 26(25):4189–4199.

lNoushmehr H, et al. Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma. Cancer Cell. 2010; 17(5):510–522.

mMaire CL, Ligon KL. Molecular pathologic diagnosis of epidermal growth factor receptor. Neuro Oncol. 2014; 16 Suppl 8:viii1-6.

nArita H, et al. Upregulating mutations in the TERT promoter commonly occur in adult malignant gliomas and are strongly associated with total 1p19q loss. Acta Neuropathol. 2013; 126(2):267–276.

oEckel-Passow JE, et al. Glioma Groups Based on 1p/19q, IDH, and TERT Promoter Mutations in Tumors. N. Engl. J. Med. 2015; 372(26):2499–2508.

pHawkins C, et al. BRAF-KIAA1549 fusion predicts better clinical outcome in pediatric low-grade astrocytoma. Clin. Cancer Res. 2011; 17(14):4790–4798.

qKool M, et al. Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas. Acta Neuropathol. 2012; 123(4):473–484.

rNorthcott PA, et al. Molecular subgroups of medulloblastoma. Expert Rev. Neurother. 2012; 12(7):871–884.

sNorthcott PA, et al. Medulloblastomics: the end of the beginning. Nat. Rev. Cancer. 2012; 12(12):818–834.

tNorthcott PA, et al. The whole-genome landscape of medulloblastoma subtypes. Nature. 2017; 547(7663):311–317.

uZhukova N, et al. Subgroup-specific prognostic implications of TP53 mutation in medulloblastoma. J. Clin. Oncol. 2013; 31(23):2927–2935.

vCeccom J, et al. Embryonal tumor with multilayered rosettes: diagnostic tools update and review of the literature. Clin. Neuropathol. 2014; 33(1):15–22.

wKorshunov A, et al. Embryonal tumor with abundant neuropil and true rosettes (ETANTR), ependymoblastoma, and medulloepithelioma share molecular similarity and comprise a single clinicopathological entity. Acta Neuropathol. 2014; 128(2):279–289.

Abbreviations: SSF-Site-Specific Factor; SSDI-Site-Specific Data Item

As of 2011, SEER registries began collecting information on three validated biomarkers for primary brain and other CNS tumors as Site Specific Factors (SSF): promoter methylation status of MGMT (SSF 4), deletion of the 1p (SSF 5), and deletion of 19q (SSF 6).60 Starting with diagnosis year 2018, the broad US cancer registry system began collecting information on multiple brain and other CNS markers, including IDH1/2 mutation, 1p/19q codeletion, medulloblastoma molecular subtypes, and all biomarkers found in 2016 WHO classification. These data are available to CBTRUS for the first time with the 2021 NPCR and SEER data releases for the 2018 diagnosis year only.

Biomarkers for glioma

IDH mutation and 1/19q status.

Gliomas, as the most common malignant primary brain and other CNS tumor type, have been subject to the greatest investigation. A recent review has described in detail the current state of glioma biomarker research.61 One of the earliest discoveries in glioma biomarkers was that oligodendroglioma often had large deletions (missing parts of the chromosome, also known as loss of heterozygosity) in the short arm of chromosome 1 (1p) and the long arm of chromosome 19 (19q).62 In general, these deletions significantly predict positive response to chemotherapy and radiation treatment in oligodendroglioma and anaplastic oligodendroglioma.63–65 Mutations to the genes in isocitrate dehydrogenase 1 (IDH1) and in isocitrate dehydrogenase 2 (IDH2) have also been shown to be associated with improved prognosis in glioma.66–68 These mutations are common in lower grade gliomas (WHO grade II and WHO grade III), but are rare in glioblastoma.67 Both of these alterations are thought to occur relatively early in the development of gliomas; the prevalence of this mutation varies by anatomic location in the brain.69,70 The combination of these two factors can be used to more accurately stratify glioma by prognosis than the previously utilized histological criteria,68,71 and have been incorporated into the definition of oligodendroglioma and astrocytoma in the 2016 update to the WHO classification.2

MGMT methylation.

Another alteration that is associated with improved survival in glioma is increased methylation (where methyl molecules are bonded to the DNA) of the promotor region of the gene O-6-methylguanine-DNA methyltransferase (MGMT).72,73 The promoter region of a gene is located upstream of the coding part of the gene and exerts control over whether a gene is transcribed into RNA. Methylation of this region effectively silences the gene and prevents transcription into RNA. MGMT is a DNA repair protein, and it is assumed that the decreases in protein levels increase sensitivity to the alkylating chemotherapies (e.g. temozolomide) often used in the treatment of gliomas aimed to combat tumor growth through DNA damage.74 This alteration is common in glioblastoma and less common in lower grade gliomas.

Other markers.

Recent analyses of data generated by The Cancer Genome Atlas (TCGA) have shown that genome-wide DNA methylation predicts improved prognosis in addition to methylation of specific genes.71 Persons whose tumor has a higher proportion of methylation across the genome are termed to have glioma-CpG island methylator phenotype (G-CIMP).75 G-CIMP and MGMT methylation are correlated,76 but G-CIMP is much rarer in glioblastoma than MGMT methylation.

Diffuse intrinsic pontine glioma (DIPG) is a name given to a group of aggressive tumors of the pons that occurs primarily in children. In the 2016 WHO classification, these tumors are classified as Diffuse midline glioma, H3 K27M-mutant (ICD-O-3 histology code 9385/3). These account for ~75% of brain stem tumors in children. Survival is very poor after diagnoses with these tumors. Due to the location of these tumors, they are often not biopsied and, therefore, have not been molecularly characterized to the extent of many other primary brain and other CNS tumor types. Recently, biopsy and autopsy protocols have allowed for collection of primary tumor samples that have been used for genomic profiling.77–79 These tumors have been found to be highly heterogeneous. Mutations in histone H3, Activin A receptor, type I (ACVR1), tumor protein p53 (TP53), platelet-derived growth factor receptor A (PDGFRA), phosphatidylinositol 3-kinase catalytic subunit alpha (PIK3CA), and Myc (MYC) have been identified as characteristic of these tumors.78,80,81 A recent review has further summarized recent developments in the genomics of DIPG.82

Biomarkers for embryonal tumors

Medulloblastoma subtypes.

Medulloblastoma is another tumor type that has been subject to significant molecular analysis. Using an analysis of gene expression (based on quantity of RNA transcribed from a gene), medulloblastoma was able to be subdivided into four distinct subtypes: wingless (WNT), sonic hedgehog (SHH), group 3 (also called group C), and group 4 (also called group D).83 These groups are associated with specific age groups, with SHH being most common in infants and adults, and all other groups being more common in childhood. Several review articles have elaborated on the details of these subgroups and their implications for diagnosis and treatment.84–86

Completeness of molecular markers.

Frequency of reported molecular markers for relevant subtypes are shown in Table 4.

Table 4.

Distribution of Brain Molecular Markers for Select Histologically-Confirmed Glioma and Embryonal Tumor Histologies, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2018

Histology Frequency (%)
Diffuse Astrocytoma
9400/3: Diffuse astrocytoma, IDH-mutant a 564 (43.2%)
9400/3: Diffuse astrocytoma, IDH-wildtype a 404 (30.9%)
9400/3: Diffuse astrocytoma, IDH Status Unknown 338 (25.9%)
Anaplastic Astrocytoma
9401/3: Anaplastic astrocytoma, IDH-mutant a 581 (42.6%)
9401/3: Anaplastic astrocytoma, IDH-wildtype a 581 (42.6%)
9401/3: Anaplastic astrocytoma, IDH Status Unknown 201 (14.7%)
Glioblastoma
9440/3: Glioblastoma, IDH-wildtype a 8,825 (74.2%)
9440/3: Glioblastoma, IDH Status Unknown 2,512 (21.1%)
9441/3: Giant cell glioblastoma 83 (0.7%)
9442/3: Gliosarcoma 238 (2%)
9445/3: Glioblastoma, IDH-mutant b 237 (2%)
Oligodendroglioma
9450/3: Oligodendroglioma, IDH-mutant and 1 p/19q co-deleted a 582 (88.9%)
9450/3: Oligodendroglioma, NOS 73 (11.1%)
Anaplastic Oligodendroglioma
9451/3: Anaplastic oligodendroglioma, IDH-mutant and 1 p/19q co-deleted a 295 (91.9%)
9451/3: Oligodendroglioma, anaplastic 26 (8.1%)
Medulloblastoma
9470/3: Medulloblastoma, NOS 211 (50.1%)
9471/3: Desmoplastic nodular medulloblastoma 20 (4.8%)
9471/3: Medulloblastoma, SHH-activated and TP53-wildtypea 84 (20%)
9474/3: Large cell medulloblastoma 36 (8.6%)
9475/3: Medulloblastoma, WNT-activated, NOS b --
9476/3: Medulloblastoma, SHH-activated and TP53-mutant b --
9477/3: Medulloblastoma, non-WNT/non-SHH b 51 (12.1%)

aCollected in NAACCR Item #3816, Brain Molecular Markers.

bNew ICD-O-3 codes implemented in 2018.

-- Cases and rates are not presented when fewer than 16 cases were reported for the specific category.

  • Among glioblastoma patients, 237 were coded as 9445/3, Glioblastoma IDH-mutant (2.0%), 8,825 were coded as 9440/3, Glioblastoma IDH-wildtype (74.2%), and 2,512 as 9440/3, Glioblastoma IDH Status Unknown (21.1%). Among those with unknown IDH status, 42 had a test ordered, but no results reported in patient chart (1.7%), while the remaining patients did not have IDH status documented in their patient record, or the information was miscoded/unknown (2,470, 98.3%).

  • Frequency of IDH1/2 mutation reporting was high in diffuse astrocytoma (9400/3, 74.1%) and anaplastic astrocytoma (9401/3, 85.3%). Biomarker reporting was complete in 88.9% of oligodendroglioma coded as 9450/3 and 91.9% of anaplastic oligodendroglioma coded as 9451/3.

  • For medulloblastoma coded as 9471/3, 80.8% had complete biomarker reporting.

RESULTS

Incidence and Mortality in Comparison to Other Common Neoplasms in the US

AAAIRs for primary brain and other CNS tumors (2014–2018) and a selection of common cancers (USCS, 2014–2018) in the US are shown by age in Figure 3A for Children (Age 0–14 Years), Adolescents and Young Adults (Age 15–39 Years), and Older Adults (Age 40+ Years).

Fig. 3.

Fig. 3

A) Average Annual Age-Adjusted Incidence Ratesa (AAAIR) with 95% Confidence Intervals of All Primary Brain and Other CNS Tumors in Comparison To Top Eight Highest Incidence Cancers for Children Age 0–14 Years, Adolescents and Young Adults Age 15–39 Years, and Older Adults Age 40+ Years, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018. B) Average Annual Age-Adjusted Mortality Ratesa with 95% Confidence Intervals of All Primary Brain and Other CNS Tumors in Comparison to Top Five Causes of Cancer Death and Top Three Non-Cancer Causes of Death for Children Age 0–14 Years, Adolescents and Young Adults Age 15–39 Years, and Older Adults Age 40+ Years, CBTRUS Statistical Report: NVSS, 2014–2018.

  • Brain and other CNS tumors (both malignant and non-malignant) were the most common cancer site in persons age 0–14 years, with an AAAIR of 5.85 per 100,000 population.

  • Leukemia was the second most common neoplasm in persons age 0–14 years, with an AAAIR of 5.09 per 100,000

  • Brain and other CNS tumors (both malignant and non-malignant) among those age 15–39 years had an AAAIR of 11.82 per 100,000 population. These tumors were the second most common cancer in this age group.

  • Breast cancer was the most common cancer among those age 40+ years in the US, with AAAIR of 276.09 per 100,000 (females only) population. The second most common cancer was prostate cancer, which had an incidence rate of 246.69 per 100,000 (males only).

  • Brain and other CNS tumors (both malignant and non-malignant) were the eighth most common cancer among persons age 40+ years with an AAAIR of 43.67 per 100,000 population.

Average annual age-adjusted mortality rates for primary malignant brain and other CNS tumors (2014–2018), a selection of common cancers, and the top three non-cancer causes of death in the US are shown by age in Figure 3B.

  • The most common causes of death in persons age 0–14 years were perinatal conditions (18.59 per 100,000).

  • Childhood brain and other CNS cancer, while rare, contributes substantially to cancer related mortality in children 0–14 years old. Malignant brain and other CNS tumors among persons age 0–14 years had an average annual age-adjusted mortality rate of 0.70 per 100,000 and were the fourth most common cause of death from the various causes referenced in this age group, and the most common cause of cancer death.

  • Accidents and adverse effects were the leading causes of death in persons age 15–39 years (41.85 per 100,000).

  • Malignant brain and other CNS tumors among persons age 15–39 years had an average annual age-adjusted mortality rate of 0.97 per 100,000 and were the 12th most common cause of death and 2nd most common cause of cancer death in this age group with where their average annual age-adjusted mortality rate was similar to that of leukemia (0.91 per 100,000). Breast (female only) was the most common cause of cancer death in this age group (2.22 per 100,000).

  • Heart disease was the largest contributor to mortality in persons age 40+ years in the US, with an average annual age-adjusted mortality rate of 378.47 per 100,000 for major cardiovascular diseases.

  • Malignant brain and other CNS tumors among persons age 40+ years had an average annual age-adjusted mortality rate of 9.14 per 100,000 and were the 26th most common cause of death overall and the 12th most common cause of cancer death. Lung and bronchus was the most common cause of cancer death in this age group (89.08 per 100,000).

Distributions and Incidence by Site, Behavior, Histology, and Year

Counts and rates from the 431,773 brain and other CNS tumors (29.1% malignant, 125,524 cases; 70.9% non-malignant, 306,249 cases shown in Figure 4) reported during 2014–2018 by histology and demographic characteristics for all ages are shown in Table 5. Counts and rates are shown by histology and behaviors for selected histologies where there is a statistically sufficient number of cases to calculate rates.

Fig. 4.

Fig. 4

Distributiona of All Primary Brain and Other CNS Tumors by Behavior (Five-Year Total=431,773; Annual Average Cases=86,355), CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

Table 5.

Five-Year Total, Annual Average Totala, and Average Annual Age-Adjusted Incidence Ratesb with 95% Confidence Intervals for All Brain and Other Central Nervous System Tumors by Major Histology Grouping, Histology, Behavior, and Sex, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER,2014–2018

Histology Total Male Female
5-Year Total Annual Average % of all tumors Median Age Rate (95% CI) 5-Year
Total
Annual Average % Malignantc Rate (95% CI) 5-Year Total Annual Average % Malignantc Rate (95% CI)
Diffuse Astrocytic and Oligodendroglial Tumors 83,124 16,625 19.3 62 4.52 (4.49–4.55) 47,749 9,550 100.0 5.51 (5.46–5.56) 35,375 7,075 100.0 3.65 (3.61–3.69)
Diffuse astrocytoma 7,729 1,546 1.8 46 0.46 (0.45–0.48) 4,336 867 100.0 0.54 (0.52–0.55) 3,393 679 100.0 0.40 (0.39–0.41)
Anaplastic astrocytoma 7,175 1,435 1.7 53 0.42 (0.41–0.43) 3,938 788 100.0 0.48 (0.46–0.49) 3,237 647 100.0 0.36 (0.35–0.38)
Glioblastoma 61,699 12,340 14.3 65 3.23 (3.20–3.26) 35,874 7,175 100.0 4.04 (4.00–4.09) 25,825 5,165 100.0 2.53 (2.50–2.56)
Oligodendroglioma 3,706 741 0.9 43 0.23 (0.23–0.24) 2,054 411 100.0 0.26 (0.25–0.27) 1,652 330 100.0 0.21 (0.20–0.22)
Anaplastic oligodendroglioma 1,839 368 0.4 49 0.11 (0.11–0.12) 1,014 203 99.8 0.12 (0.12–0.13) 825 165 100.0 0.10 (0.09–0.10)
Oligoastrocytic tumors 976 195 0.2 43 0.06 (0.06-0.06) 533 107 100.0 0.07 (0.06–0.07) 443 89 99.8 0.05 (0.05–0.06)
Other Astrocytic Tumors 6,213 1,243 1.4 12 0.42 (0.41–0.43) 3,218 644 93.5 0.43 (0.41–0.44) 2,995 599 94.8 0.41 (0.40–0.43)
Pilocytic astrocytoma 5,303 1,061 1.2 11 0.36 (0.35–0.37) 2,728 546 100.0 0.36 (0.35–0.38) 2,575 515 100.0 0.36 (0.34–0.37)
Unique astrocytoma variants 910 182 0.2 17 0.06 (0.06-0.06) 490 98 57.3 0.06 (0.06–0.07) 420 84 62.6 0.06 (0.05–0.06)
Malignant 544 109 0.1 -- 0.04 (0.03–0.04) 281 56 -- 0.04 (0.03–0.04) 263 53 -- 0.03 (0.03–0.04)
Non-Malignant 366 73 0.1 -- 0.02 (0.02–0.03) 209 42 -- 0.03 (0.02–0.03) 157 31 -- 0.02 (0.02–0.03)
Ependymal Tumors 6,926 1,385 1.6 45 0.42 (0.41–0.43) 3,989 798 54.8 0.49 (0.48–0.51) 2,937 587 60.6 0.36 (0.34–0.37)
Malignant 3,967 793 0.9 -- 0.24 (0.24–0.25) 2,187 437 -- 0.27 (0.26–0.28) 1,780 356 -- 0.22 (0.21–0.23)
Non-Malignant 2,959 592 0.7 -- 0.18 (0.17–0.18) 1,802 360 -- 0.22 (0.21–0.23) 1,157 231 -- 0.14 (0.13–0.14)
Other Gliomas 8,575 1,715 2.0 36 0.53 (0.52–0.54) 4,326 865 99.6 0.55 (0.54–0.57) 4,249 850 99.6 0.51 (0.50–0.53)
Glioma malignant, NOS 8,471 1,694 2.0 36 0.53 (0.51–0.54) 4,289 858 100.0 0.55 (0.53–0.57) 4,182 836 100.0 0.51 (0.49–0.52)
Other neuroepithelial tumors 104 21 <0.1 30 0.01 (0.01-0.01) 37 7 56.8 0.00 (0.00–0.01) 67 13 73.1 0.01 (0.01-0.01)
Neuronal and Mixed Neuronal-Glial Tumors 5,150 1,030 1.2 26 0.33 (0.32–0.34) 2,753 551 19.8 0.35 (0.34–0.37) 2,397 479 18.1 0.31 (0.30–0.32)
Malignant 978 196 0.2 -- 0.06 (0.05–0.06) 545 109 -- 0.07 (0.06–0.07) 433 87 -- 0.05 (0.04–0.05)
Non-Malignant 4,172 834 1.0 -- 0.27 (0.26–0.28) 2,208 442 -- 0.29 (0.27–0.30) 1,964 393 -- 0.26 (0.25–0.27)
Choroid Plexus Tumors 847 169 0.2 20 0.05 (0.05–0.06) 429 86 17.2 0.06 (0.05–0.06) 418 84 13.6 0.05 (0.05–0.06)
Malignant 131 26 0.0 -- 0.01 (0.01-0.01) 74 15 -- 0.01 (0.01-0.01) 57 11 -- 0.01 (0.01-0.01)
Non-Malignant 716 143 0.2 -- 0.05 (0.04–0.05) 355 71 -- 0.05 (0.04–0.05) 361 72 -- 0.05 (0.04–0.05)
Tumors of the Pineal Region 743 149 0.2 32 0.05 (0.04–0.05) 319 64 67.1 0.04 (0.04-0.04) 424 85 49.1 0.05 (0.05–0.06)
Malignant 422 84 0.1 -- 0.03 (0.02–0.03) 214 43 -- 0.03 (0.02–0.03) 208 42 -- 0.03 (0.02–0.03)
Non-Malignant 321 64 0.1 -- 0.02 (0.02-0.02) 105 21 -- 0.01 (0.01–0.02) 216 43 -- 0.03 (0.02–0.03)
Embryonal Tumors 3,252 650 0.8 8 0.22 (0.21–0.23) 1,947 389 100.0 0.26 (0.25–0.27) 1,305 261 99.8 0.18 (0.17–0.19)
Tumors of Cranial and Paraspinal Nerves 36,684 7,337 8.5 57 2.05 (2.03–2.07) 17,651 3,530 0.6 2.06 (2.03–2.09) 19,033 3,807 0.5 2.05 (2.02–2.08)
Nerve sheath tumors 36,647 7,329 8.5 57 2.05 (2.03–2.07) 17,629 3,526 0.6 2.06 (2.03–2.09) 19,018 3,804 0.5 2.05 (2.02–2.08)
Malignant 208 42 <0.1 -- 0.01 (0.01-0.01) 107 21 -- 0.01 (0.01–0.02) 101 20 -- 0.01 (0.01-0.01)
Non-Malignant 36,439 7,288 8.4 -- 2.04 (2.02–2.06) 17,522 3,504 -- 2.04 (2.01–2.08) 18,917 3,783 -- 2.04 (2.01–2.07)
Other tumors of cranial and paraspinal nerves 37 7 <0.1 55 0.00 (0.00-0.00) -- -- -- -- -- -- -- --
Tumors of Meninges 174,568 34,914 40.4 66 9.49 (9.44–9.53) 48,596 9,719 2.5 5.79 (5.74–5.84) 125,972 25,194 1.1 12.76 (12.69–12.84)
Meningiomas 168,432 33,686 39.0 66 9.12 (9.08–9.17) 45,494 9,099 1.7 5.41 (5.36–5.46) 122,938 24,588 0.8 12.41 (12.34–12.49)
Malignant 1,699 340 0.4 -- 0.09 (0.09–0.10) 754 151 -- 0.09 (0.08–0.09) 945 189 -- 0.10 (0.09–0.10)
Non-Malignant 166,733 33,347 38.6 -- 9.03 (8.99–9.08) 44,740 8,948 -- 5.33 (5.27–5.38) 121,993 24,399 -- 12.32 (12.25–12.39)
Mesenchymal tumors 6,003 1,201 1.4 51 0.35 (0.34–0.36) 3,029 606 13.4 0.37 (0.35–0.38) 2,974 595 12.2 0.34 (0.33–0.36)
Malignant 769 154 0.2 -- 0.05 (0.04–0.05) 405 81 100.0 0.05 (0.04–0.05) 364 73 -- 0.04 (0.04–0.05)
Non-Malignant 5,234 1,047 1.2 -- 0.31 (0.30–0.32) 2,624 525 <0.1 0.32 (0.31–0.33) 2,610 522 -- 0.30 (0.29–0.31)
Primary melanocytic lesions 133 27 <0.1 60 0.01 (0.01-0.01) 73 15 76.7 0.01 (0.01-0.01) 60 12 55.0 0.01 (0.00–0.01)
Lymphomas and Hematopoietic Neoplasms 8,558 1,712 2.0 67 0.46 (0.45–0.47) 4,359 872 99.9 0.50 (0.49–0.52) 4,199 840 99.7 0.42 (0.40–0.43)
Lymphoma 8,478 1,696 2.0 67 0.45 (0.44–0.46) 4,317 863 99.9 0.50 (0.48–0.52) 4,161 832 99.8 0.41 (0.40–0.43)
Other hematopoietic neoplasms 80 16 <0.1 61 0.00 (0.00–0.01) 42 8 97.6 0.00 (0.00–0.01) 38 8 94.7 0.00 (0.00–0.01)
Germ Cell Tumors 1,252 250 0.3 15 0.08 (0.08–0.09) 936 187 89.1 0.12 (0.11–0.13) 316 63 79.4 0.04 (0.04–0.05)
Malignant 1,085 217 0.3 -- 0.07 (0.07–0.08) 834 167 -- 0.11 (0.10–0.12) 251 50 -- 0.04 (0.03–0.04)
Non-Malignant 167 33 <0.1 -- 0.01 (0.01-0.01) 102 20 -- 0.01 (0.01–0.02) 65 13 -- 0.01 (0.01-0.01)
Tumors of Sellar Region 77,084 15,417 17.9 51 4.55 (4.52–4.59) 34,600 6,920 0.3 4.11 (4.07–4.16) 42,484 8,497 0.1 5.08 (5.03–5.13)
Tumors of the pituitary 73,945 14,789 17.1 51 4.36 (4.33–4.40) 32,991 6,598 0.2 3.92 (3.87–3.96) 40,954 8,191 0.1 4.90 (4.85–4.95)
Malignant 125 25 <0.1 -- 0.01 (0.01-0.01) 80 16 -- 0.01 (0.01-0.01) 45 9 -- 0.00 (0.00–0.01)
Non-Malignant 73,820 14,764 17.1 -- 4.36 (4.32–4.39) 32,911 6,582 -- 3.91 (3.86–3.95) 40,909 8,182 -- 4.89 (4.84–4.94)
Craniopharyngioma 3,139 628 0.7 44 0.19 (0.18–0.20) 1,609 322 0.6 0.20 (0.19–0.21) 1,530 306 0.2 0.18 (0.17–0.19)
Unclassified Tumors 18,797 3,759 4.4 65 1.07 (1.05–1.08) 8,630 1,726 37.7 1.07 (1.05–1.10) 10,167 2,033 34.7 1.07 (1.05–1.09)
Hemangioma 4,141 828 1.0 49 0.25 (0.24–0.26) 1,909 382 0.1 0.24 (0.23–0.25) 2,232 446 0.1 0.26 (0.25–0.27)
Neoplasm, unspecified 14,093 2,819 3.3 70 0.78 (0.77–0.80) 6,420 1,284 50.0 0.80 (0.78–0.82) 7,673 1,535 45.4 0.78 (0.76–0.79)
Malignant 6,692 1,338 1.5 -- 0.36 (0.35–0.37) 3,209 642 -- 0.40 (0.39–0.41) 3,483 697 -- 0.33 (0.32–0.34)
Non-Malignant 7,401 1,480 1.7 -- 0.42 (0.41–0.43) 3,211 642 -- 0.40 (0.39–0.41) 4,190 838 -- 0.45 (0.43–0.46)
All other 563 113 0.1 34 0.04 (0.03–0.04) 301 60 13.0 0.04 (0.03–0.04) 262 52 16.8 0.03 (0.03–0.04)
Malignant 83 17 <0.1 -- 0.01 (0.00–0.01) 39 8 -- 0.01 (0.00–0.01) 44 9 -- 0.01 (0.00–0.01)
Non-Malignant 480 96 0.1 -- 0.03 (0.03-0.03) 262 52 -- 0.03 (0.03–0.04) 218 44 -- 0.03 (0.02–0.03)
TOTAL e 431,773 86,355 100.0 61 24.25 (24.17–24.32) 179,502 35,900 38.9 21.35 (21.25–21.46) 252,271 50,454 22.1 26.95 (26.85–27.06)
Malignant 125,524 25,105 29.1 -- 7.06 (7.02–7.10) 69,866 13,973 -- 8.28 (8.22–8.34) 55,658 11,132 -- 5.98 (5.93–6.03)
Non-Malignant 306,249 61,250 70.9 -- 17.19 (17.12–17.25) 109,636 21,927 -- 13.07 (12.99–13.15) 196,613 39,323 -- 20.97 (20.88–21.07)

aAnnual average cases are calculated by dividing the five-year total by five.

bRates are per 100,000 and are age-adjusted to the 2000 US standard population.

cAssigned behavior code of /3 (see Table 2).

dAssigned behavior code of /0 or /1 (see Table 2).

eRefers to all brain tumors including histologies not presented in this table.

-- Counts and rates are not presented when fewer than 16 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval; NOS, not otherwise specified

Distribution of Tumors by Site and Histology

The distribution of brain and other CNS tumors by site is shown in Figure 5A.

Fig. 5.

Fig. 5

Distributiona of All Primary Brain and Other CNS Tumors (Malignant and Non-Malignant Combined; Five-Year Total=431,733; Annual Average Cases=86,355), by A) Site and B) Histology, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

  • Overall, the most common tumor site was the meninges, representing 39.2% of all tumors.

  • The pituitary and craniopharyngeal duct accounted for 18.1% of all tumors.

  • Frontal (7.8%), temporal (5.7%), parietal (3.3%), and occipital lobes (0.9%) accounted for 17.6% of all tumors.

  • The cranial nerves and the spinal cord/cauda equina accounted for 9.9% of all tumors.

  • For malignant tumors, the frontal (24.4%), temporal (17.5%), parietal (10.4%), and occipital (2.6%) lobes accounted for 54.9% of tumors (Figure 6A).

  • For non-malignant tumors, 54.5% of all tumors occurred in the meninges (Figure 7A).

Fig. 6.

Fig. 6

Distributiona of Malignant Primary Brain and Other CNS Tumors (Five-Year Total=125,524; Annual Average Cases=25,105), by A) Site and B) Histology, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

Fig. 7.

Fig. 7

Distributiona of All Non-Malignant Primary Brain and Other CNS Tumors (Five-Year Total=306,249; Annual Average Cases=61,250), by A) Site and B) Histology, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

The distribution by brain and other CNS histologies is shown in Figure 5B.

  • The most frequently reported histology overall was meningiomas (39.0%), followed by tumors of the pituitary (17.1%) and glioblastoma (14.3%).

  • Tumors of the pituitary and nerve sheath tumors combined accounted for slightly less than one-fourth of all tumors (25.6%), the vast majority of which were non-malignant.

The distribution of malignant and non-malignant brain and other CNS tumors by histology are shown in Figure 6B and Figure 7B, respectively.

  • The most common of all malignant CNS tumors was glioblastoma (49.1%).

  • The most common of all non-malignant tumors was meningiomas (54.5%).

  • The most common non-malignant nerve sheath tumor (based on multiple sites in the brain and CNS) was vestibular schwannoma (defined by histology code 9560, also formerly called acoustic neuromas) (75.1%). See Supplementary Figure 1 for the distribution of sites at which these tumors occur.

Distribution of Gliomas by Site and Histology

The broad category glioma (ICD-O-3 histology codes 9380–9384, 9391–9460 see Table 2 for more information) represented approximately 24.5% of all primary brain and other CNS tumors and 80.9% of malignant tumors. The distribution of gliomas by site and histology are shown in Figure 8A and Figure 8B, respectively.

Fig. 8.

Fig. 8

Distributiona of Primary Brain and Other CNS Gliomas (ICD-O-3 histology codes 9380–9384 and 9391–9460) (Five-Year Total=105,729; Annual Average Cases=21,146) by A) Site and B) Histology, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

  • The majority of gliomas occurred in the supra-tentorium (frontal, temporal, parietal, and occipital lobes combined, 61.6%). Only a very small proportion of gliomas occurred in areas of the CNS other than the brain.

  • Glioblastoma accounted for the majority of gliomas (58.4%).

  • Astrocytic tumors, including glioblastoma, accounted for 77.5% of all gliomas.

Incidence by Year and Behavior

Figure 9 presents the overall AAAIRs of all primary brain and other CNS tumors by year, 2014–2018, and behavior. Incidence rates for all primary brain and other CNS tumors, 2014–2018, did not differ substantially by year (both overall and by behavior).

Fig. 9.

Fig. 9

Annual Age-Adjusted Incidence Ratesa of All Primary Brain and Other CNS Tumors by Year and Behavior, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

Incidence Rates by Histology and Behavior

AAAIRs overall by histology and behavior are shown in Table 5. Among CBTRUS histologies, incidence rates were highest for tumors of the meninges (9.49 per 100,000 population), followed by tumors of the sellar region (4.55 per 100,000 population), diffuse astrocytic and oligodendroglial tumors (4.52 per 100,000 population), and tumors of the cranial and paraspinal nerves (2.05 per 100,000 population).

  • Among CBTRUS specific histologies, incidence rates were highest for meningiomas (9.12 per 100,000 population), tumors of the pituitary (4.36 per 100,000 population), glioblastomas (3.23 per 100,000 population), and nerve sheath tumors (2.05 per 100,000 population).

  • The majority of nerve sheath tumors were vestibular schwannoma (1.51 per 100,000, Table 6)

  • For malignant tumors, the incidence rate was highest for glioblastoma (3.23 per 100,000 population), followed by glioma malignant, NOS (0.53 per 100,000), diffuse astrocytoma (0.46 per 100,000 population) and lymphoma (0.45 per 100,000 population).

  • For non-malignant tumors, the incidence rate was highest for non-malignant meningioma (9.03 per 100,000 population), followed by non-malignant tumors of the pituitary (4.36 per 100,000 population).

Table 6.

Five-Year Total, Annual Average Totala, and Average Annual Age-Adjusted Incidence Ratesb with 95% Confidence Intervals for Selected Non-Malignant Histologies by Sex, Age Group at Diagnosis, Race, and Hispanic Ethnicity and Histology, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014–2018

Group Vestibular Schwannomac Pituitary Adenomad WHO Grade I Meningiomae WHO Grade II Meningiomaf
5-Year Total Annual Average 95% CI 5-Year Total Annual Average 95% CI 5-Year Total Annual Average 95% CI 5-Year Total Annual Average 95% CI
Sex
Male 12,874 2,575 1.49 (1.46–1.51) 28,821 5,764 3.41 (3.37–3.45) 13,080 2,616 1.52 (1.49–1.55) 3,913 783 0.46 (0.44–0.47)
Female 14,478 2,896 1.54 (1.51–1.57) 35,408 7,082 4.21 (4.17–4.26) 35,173 7,035 3.71 (3.67–3.75) 5,358 1,072 0.57 (0.56–0.59)
Age Groups
0–14 years 197 39 0.06 (0.06–0.07) 926 185 0.30 (0.28–0.32) 99 20 0.03 (0.03–0.04) 69 14 0.02 (0.02–0.03)
15–39 years 3,655 731 0.70 (0.68–0.73) 18,452 3,690 3.45 (3.40–3.50) 4,115 823 0.82 (0.80–0.85) 1,044 209 0.20 (0.19–0.21)
40–64 years 14,440 2,888 2.59 (2.54–2.63) 27,344 5,469 5.19 (5.12–5.25) 24,426 4,885 4.40 (4.34–4.46) 4,443 889 0.80 (0.78–0.82)
65+ years 9,060 1,812 3.65 (3.57–3.72) 17,507 3,501 7.18 (7.07–7.29) 19,613 3,923 8.05 (7.94–8.16) 3,715 743 1.54 (1.49–1.59)
Race
White 23,537 4,707 1.61 (1.58–1.63) 45,899 9,180 3.40 (3.37–3.43) 38,684 7,737 2.60 (2.58–2.63) 7,077 1,415 0.48 (0.47–0.49)
Black 1,496 299 0.69 (0.65–0.73) 12,835 2,567 6.04 (5.94–6.15) 6,223 1,245 2.96 (2.88–3.03) 1,452 290 0.69 (0.65–0.72)
American Indian/Alaska Native 159 32 0.77 (0.65–0.90) 541 108 2.61 (2.38–2.84) 313 63 1.65 (1.47–1.86) 52 10 0.28 (0.21–0.38)
Asian or Pacific Islander 1,525 305 1.46 (1.39–1.54) 3,583 717 3.45 (3.33–3.56) 2,402 480 2.36 (2.26–2.46) 548 110 0.54 (0.49–0.58)
Hispanic Ethnicity
Non-Hispanic 25,058 5,012 1.59 (1.57–1.62) 53,707 10,741 3.70 (3.67–3.73) 43,175 8,635 2.70 (2.68–2.73) 8,396 1,679 0.53 (0.52–0.54)
Hispanic 2,294 459 1.00 (0.96–1.05) 10,522 2,104 4.29 (4.20–4.38) 5,078 1,016 2.36 (2.29–2.43) 875 175 0.40 (0.38–0.43)
TOTAL 27,352 5,470 1.51 (1.49–1.53) 64,229 12,846 3.78 (3.75–3.81) 48,253 9,651 2.65 (2.63–2.68) 9,271 1,854 0.51 (0.50–0.52)

aAnnual average cases are calculated by dividing the five-year total by five.

bRates are per 100,000 and are age-adjusted to the 2000 US standard population.

cICD-O-3 histology code 9560/0 and ICD-O-3 topography code C72.4 and C72.5.

dICD-O-3 histology code 8272/0 and ICD-O-3 topography code C75.1.

eICD-O-3 histology codes 9530/0, 9531/0, 9532/0, 9533/0, 9534/0, and 9537/0.

fICD-O-3 histology codes 9530/1, 9531/1, 9532/1, 9533/1, 9534/1, 9537/1, 9538/1, and 9539/1.

-Counts and rates are not presented when fewer than 16 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval

Distributions and Incidence by Age

Incidence Rates by Age at Diagnosis

The overall AAAIR for 2014–2018 for all primary brain and other CNS tumors was 24.25 per 100,000 population (Table 5). The overall incidence rate was 5.85 per 100,000 population for children age 0–14 years, 11.82 per 100,000 population for adolescents and young adults age 15–39 years, and 43.67 per 100,000 population for adults age 40+ years (Table 7). The overall incidence rates of tumors by behavior and age group (age 0–14 years, 0–19 years, and 20+ years) are shown in Figure 10.

Table 7.

Five-Year Total, Annual Average Totala, and Average Annual Age-Adjusted Incidence Ratesb with 95% Confidence Intervals of All Brain and Other Central Nervous System Tumors by Histology, and NCI Age at Diagnosis Groups, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014–2018

Histology Childrenc (0–14) AYAd (15–39) Older Adults (40+)
5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI)
Diffuse Astrocytic and Oligodendroglial Tumors 1,514 303 0.50 (0.47–0.52) 9,791 1,958 1.84 (1.81–1.88) 71,819 14,364 8.73 (8.66–8.79)
Diffuse astrocytoma 685 137 0.22 (0.21–0.24) 2,562 512 0.47 (0.46–0.49) 4,482 896 0.58 (0.56–0.59)
Anaplastic astrocytoma 250 50 0.08 (0.07–0.09) 1,965 393 0.37 (0.35–0.38) 4,960 992 0.63 (0.61–0.65)
Glioblastoma 461 92 0.15 (0.14–0.17) 2,920 584 0.56 (0.54–0.58) 58,318 11,664 6.97 (6.91–7.03)
Oligodendroglioma 78 16 0.03 (0.02–0.03) 1,456 291 0.28 (0.26–0.29) 2,172 434 0.30 (0.29–0.31)
Anaplastic oligodendroglioma -- -- -- -- -- -- 1,331 266 0.18 (0.17–0.19)
Oligoastrocytic tumors -- -- -- -- -- -- 556 111 0.07 (0.07–0.08)
Other Astrocytic Tumors 3,626 725 1.19 (1.15–1.23) 1,838 368 0.34 (0.32–0.35) 749 150 0.10 (0.10–0.11)
Pilocytic astrocytoma 3,250 650 1.07 (1.03–1.10) 1,463 293 0.27 (0.26–0.28) 590 118 0.08 (0.08–0.09)
Unique astrocytoma variants 376 75 0.12 (0.11–0.14) 375 75 0.07 (0.06–0.08) 159 32 0.02 (0.02–0.03)
Malignant 146 29 0.05 (0.04–0.06) 270 54 0.05 (0.04–0.06) 128 26 0.02 (0.01–0.02)
Non-Malignant 230 46 0.08 (0.07–0.09) 105 21 0.02 (0.02-0.02) 31 6 0.00 (0.00–0.01)
Ependymal Tumors 941 188 0.31 (0.29–0.33) 1,922 384 0.36 (0.34–0.38) 4,063 813 0.53 (0.51–0.55)
Malignant 835 167 0.27 (0.25–0.29) 1,024 205 0.19 (0.18–0.20) 2,108 422 0.28 (0.26–0.29)
Non-Malignant 106 21 0.03 (0.03–0.04) 898 180 0.17 (0.16–0.18) 1,955 391 0.25 (0.24–0.26)
Other Gliomas 2,658 532 0.87 (0.84–0.91) 1,832 366 0.34 (0.32–0.36) 4,085 817 0.52 (0.50–0.54)
Glioma malignant, NOS 2,632 526 0.86 (0.83–0.90) 1,797 359 0.33 (0.32–0.35) 4,042 808 0.51 (0.50–0.53)
Other neuroepithelial tumors 26 5 0.01 (0.01-0.01) 35 7 0.01 (0.00–0.01) 43 9 0.01 (0.00–0.01)
Neuronal and Mixed Neuronal-Glial Tumors 1,371 274 0.45 (0.43–0.47) 2,069 414 0.38 (0.36–0.40) 1,710 342 0.23 (0.22–0.24)
Malignant 100 20 0.03 (0.03–0.04) 203 41 0.04 (0.03–0.04) 675 135 0.09 (0.08–0.09)
Non-Malignant 1,271 254 0.42 (0.39–0.44) 1,866 373 0.34 (0.33–0.36) 1,035 207 0.14 (0.13–0.15)
Choroid Plexus Tumors 369 74 0.12 (0.11–0.13) 211 42 0.04 (0.03–0.04) 267 53 0.03 (0.03–0.04)
Malignant 102 20 0.03 (0.03–0.04) -- -- -- -- -- --
Non-Malignant 267 53 0.09 (0.08–0.10) -- -- -- -- -- --
Tumors of the Pineal Region 147 29 0.05 (0.04–0.06) 290 58 0.05 (0.05–0.06) 306 61 0.04 (0.04–0.05)
Malignant 127 25 0.04 (0.03–0.05) 166 33 0.03 (0.03-0.03) 129 26 0.02 (0.01–0.02)
Non-Malignant 20 4 0.01 (0.00–0.01) 124 25 0.02 (0.02–0.03) 177 35 0.02 (0.02–0.03)
Embryonal Tumors 2,196 439 0.72 (0.69–0.75) 760 152 0.14 (0.13–0.15) 296 59 0.04 (0.04–0.05)
Medulloblastoma 1,486 297 0.49 (0.46–0.51) 635 127 0.11 (0.11–0.12) 157 31 0.02 (0.02–0.03)
Primitive neuroectodermal tumors 187 37 0.06 (0.05–0.07) 79 16 0.01 (0.01–0.02) 85 17 0.01 (0.01-0.01)
Atypical teratoid/rhabdoid tumor 376 75 0.12 (0.11–0.14) -- -- -- -- -- --
All other embryonal 147 29 0.05 (0.04–0.06) -- -- -- -- -- --
Tumors of Cranial and Paraspinal Nerves 748 150 0.25 (0.23–0.26) 5,530 1,106 1.06 (1.03–1.09) 30,406 6,081 3.77 (3.73–3.82)
Nerve sheath tumors 748 150 0.25 (0.23–0.26) -- -- -- 30,377 6,075 3.77 (3.73–3.81)
Malignant -- -- -- -- -- -- 151 30 0.02 (0.02-0.02)
Non-Malignant -- -- -- -- -- -- 30,226 6,045 3.75 (3.71–3.80)
Other tumors of cranial and paraspinal nerves -- -- -- -- -- -- 29 6 0.00 (0.00–0.01)
Tumors of Meninges 698 140 0.23 (0.21–0.25) 11,414 2,283 2.24 (2.20–2.28) 162,456 32,491 20.08 (19.98–20.18)
Meningiomas 311 62 0.10 (0.09–0.11) 9,772 1,954 1.93 (1.89–1.97) 158,349 31,670 19.56 (19.46–19.66)
Malignant 18 4 0.01 (0.00–0.01) 115 23 0.02 (0.02–0.03) 1,566 313 0.19 (0.18–0.20)
Non-Malignant 293 59 0.10 (0.09–0.11) 9,657 1,931 1.91 (1.87–1.95) 156,783 31,357 19.37 (19.27–19.47)
Mesenchymal tumors -- -- -- -- -- -- 4,003 801 0.51 (0.50–0.53)
Malignant -- -- -- -- -- -- 522 104 0.07 (0.06–0.07)
Non-Malignant -- -- -- -- -- -- 3,481 696 0.45 (0.43–0.46)
Primary melanocytic lesions -- -- -- -- -- -- 104 21 0.01 (0.01–0.02)
Lymphomas and Hematopoietic Neoplasms 88 18 0.03 (0.02–0.04) 549 110 0.10 (0.10–0.11) 7,921 1,584 0.96 (0.94–0.99)
Lymphoma 88 18 0.03 (0.02–0.04) -- -- -- 7,848 1,570 0.96 (0.93–0.98)
Other hematopoietic neoplasms -- -- -- -- -- -- 73 15 0.01 (0.01-0.01)
Germ Cell Tumors 583 117 0.19 (0.18–0.21) 602 120 0.11 (0.10–0.12) 67 13 0.01 (0.01-0.01)
Malignant 497 99 0.16 (0.15–0.18) 563 113 0.10 (0.09–0.11) 25 5 0.00 (0.00–0.01)
Non-Malignant 86 17 0.03 (0.02–0.03) 39 8 0.01 (0.01-0.01) 42 8 0.01 (0.00–0.01)
Tumors of Sellar Region 1,771 354 0.58 (0.56–0.61) 22,908 4,582 4.28 (4.23–4.34) 52,405 10,481 6.76 (6.70–6.82)
Tumors of the pituitary 1,096 219 0.36 (0.34–0.38) 22,200 4,440 4.15 (4.10–4.21) 50,649 10,130 6.54 (6.48–6.60)
Malignant -- -- -- -- -- -- 105 21 0.01 (0.01–0.02)
Non-Malignant -- -- -- -- -- -- 50,544 10,109 6.52 (6.47–6.58)
Craniopharyngioma 675 135 0.22 (0.21–0.24) 708 142 0.13 (0.12–0.14) 1,756 351 0.22 (0.21–0.23)
Unclassified Tumors 1,098 220 0.36 (0.34–0.38) 2,842 568 0.53 (0.51–0.55) 14,857 2,971 1.86 (1.83–1.89)
Hemangioma 294 59 0.10 (0.09–0.11) 1,175 235 0.22 (0.21–0.23) 2,672 534 0.35 (0.33–0.36)
Neoplasm, unspecified 621 124 0.20 (0.19–0.22) 1,544 309 0.29 (0.28–0.30) 11,928 2,386 1.48 (1.45–1.51)
Malignant 168 34 0.06 (0.05–0.06) 346 69 0.07 (0.06–0.07) 6,178 1,236 0.76 (0.74–0.78)
Non-Malignant 453 91 0.15 (0.14–0.16) 1,198 240 0.22 (0.21–0.24) 5,750 1,150 0.72 (0.70–0.74)
All other 183 37 0.06 (0.05–0.07) 123 25 0.02 (0.02–0.03) 257 51 0.03 (0.03–0.04)
Malignant 57 11 0.02 (0.01–0.02) -- -- -- -- -- --
Non-Malignant 126 25 0.04 (0.03–0.05) -- -- -- -- -- --
TOTAL e 17,808 3,562 5.85 (5.76–5.93) 62,558 12,512 11.82 (11.73–11.92) 351,407 70,281 43.67 (43.53–43.82)
Malignant 11,834 2,367 3.88 (3.82–3.96) 17,364 3,473 3.25 (3.20–3.30) 96,364 19,273 11.79 (11.72–11.87)
Non-Malignant 5,974 1,195 1.96 (1.91–2.01) 45,194 9,039 8.57 (8.49–8.65) 255,043 51,009 31.88 (31.76–32.01)

aAnnual average cases are calculated by dividing the five-year total by five.

bRates are per 100,000 and are age-adjusted to the 2000 US standard population.

cChildren as defined by the National Cancer Institute, see: http://www.cancer.gov/researchandfunding/snapshots/pediatric.

dAdolescents and Young Adults (AYA), as defined by the National Cancer Institute, see: http://www.cancer.gov/cancertopics/aya.

eRefers to all brain tumors including histologies not presented in this table.

-- Counts and rates are not presented when fewer than 16 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: AYA, Adolescents and Young Adults; CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval; NOS, not otherwise specified

Fig. 10.

Fig. 10

Average Annual Age-Adjusted Incidence Ratesa of All Primary Brain and Other CNS Tumors by Age Group at Diagnosis and Behavior, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

Incidence Rates by Age at Diagnosis and Histology

The AAAIRs by age and histology at diagnosis are shown in Tables 79, as well as in Figure 11A (Age 0–19 Years), and Figure 11B (Age 20+Years).

Table 9.

Five-Year Total, Average Annual Age-Adjusted and Age-Specific Incidence Ratesa with 95% Confidence Intervals for Adults (Age 20+ Years), Brain and Other Central Nervous System Tumors by Histology, and Age Group at Diagnosis, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014–2018

Histology 20–34 Years 35–44 Years 45–54 Years 55–64 Years 65–74 Years 75–84 Years 85+ Years
5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI)
Diffuse Astrocytic and Oligodendroglial Tumors 6,130 1,226 1.86 (1.81–1.91) 6,190 1,238 3.05 (2.98–3.13) 11,336 2,267 5.22 (5.12–5.32) 20,324 4,065 9.79 (9.65–9.92) 21,474 4,295 15.25 (15.05–15.46) 12,289 2,458 17.17 (16.87–17.48) 3,133 627 9.87 (9.53–10.22)
Diffuse astrocytoma 1,699 340 0.51 (0.49–0.54) 1,064 213 0.52 (0.49–0.56) 1,013 203 0.48 (0.45–0.51) 1,171 234 0.57 (0.54–0.60) 1,078 216 0.76 (0.72–0.81) 606 121 0.85 (0.78–0.92) 152 30 0.48 (0.41–0.56)
Anaplastic astrocytoma 1,330 266 0.40 (0.38–0.42) 1,029 206 0.51 (0.48–0.54) 1,074 215 0.50 (0.47–0.53) 1,402 280 0.68 (0.64–0.71) 1,234 247 0.88 (0.83–0.93) 618 124 0.87 (0.80–0.94) 123 25 0.39 (0.32–0.46)
Glioblastoma 1,624 325 0.49 (0.47–0.52) 2,626 525 1.30 (1.25–1.35) 7,822 1,564 3.57 (3.49–3.65) 16,643 3,329 8.00 (7.88–8.12) 18,582 3,716 13.21 (13.02–13.40) 10,870 2,174 15.18 (14.90–15.47) 2,832 566 8.92 (8.60–9.26)
Oligodendroglioma 916 183 0.28 (0.26–0.30) 883 177 0.43 (0.41–0.46) 820 164 0.39 (0.36–0.42) 553 111 0.27 (0.25–0.29) 257 51 0.17 (0.15–0.20) 94 19 0.13 (0.11–0.16) 19 4 0.06 (0.04–0.09)
Anaplastic oligodendroglioma 308 62 0.09 (0.08–0.11) 371 74 0.18 (0.17–0.20) 443 89 0.21 (0.19–0.23) 401 80 0.19 (0.18–0.21) 215 43 0.15 (0.13–0.17) -- -- -- -- -- --
Oligoastrocytic tumors 253 51 0.08 (0.07–0.09) 217 43 0.11 (0.09–0.12) 164 33 0.08 (0.07–0.09) 154 31 0.08 (0.06–0.09) 108 22 0.08 (0.06–0.09) -- -- -- -- -- --
Other Astrocytic Tumors 904 181 0.27 (0.25–0.29) 339 68 0.17 (0.15–0.19) 241 48 0.11 (0.10–0.13) 182 36 0.09 (0.08–0.10) 117 23 0.08 (0.07–0.10) -- -- -- -- -- --
Pilocytic astrocytoma 693 139 0.21 (0.19–0.22) 267 53 0.13 (0.12–0.15) 188 38 0.09 (0.08–0.10) 144 29 0.07 (0.06–0.08) 94 19 0.07 (0.05–0.08) -- -- -- -- -- --
Unique astrocytoma variants 211 42 0.06 (0.05–0.07) 72 14 0.04 (0.03–0.04) 53 11 0.02 (0.02–0.03) 38 8 0.02 (0.01–0.03) 23 5 0.02 (0.01–0.02) -- -- -- -- -- --
Malignant 156 31 0.05 (0.04–0.05) 55 11 0.03 (0.02–0.04) -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Non-Malignant 55 11 0.02 (0.01–0.02) 17 3 0.01 (0.00–0.01) -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Ependymal Tumors 1,157 231 0.35 (0.33–0.37) 1,045 209 0.52 (0.49–0.55) 1,178 236 0.55 (0.52–0.59) 1,171 234 0.57 (0.54–0.60) 862 172 0.60 (0.56–0.64) 304 61 0.42 (0.38–0.48) 33 7 0.10 (0.07–0.15)
Malignant 605 121 0.18 (0.17–0.20) 532 106 0.26 (0.24–0.29) 607 121 0.29 (0.26–0.31) 611 122 0.30 (0.27–0.32) 447 89 0.32 (0.29–0.35) -- -- -- -- -- --
Non-Malignant 552 110 0.17 (0.15–0.18) 513 103 0.25 (0.23–0.28) 571 114 0.27 (0.25–0.29) 560 112 0.27 (0.25–0.30) 415 83 0.29 (0.26–0.32) -- -- -- -- -- --
Other Gliomas 1,041 208 0.31 (0.30–0.33) 618 124 0.30 (0.28–0.33) 724 145 0.34 (0.31–0.37) 860 172 0.42 (0.39–0.45) 879 176 0.63 (0.59–0.67) 796 159 1.11 (1.03–1.19) 524 105 1.65 (1.51–1.80)
Glioma malignant, NOS 1,020 204 0.31 (0.29–0.33) -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Other neuroepithelial tumors 21 4 0.01 (0.00–0.01) -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Neuronal and Mixed Neuronal-Glial Tumors 1,128 226 0.34 (0.32–0.36) 569 114 0.28 (0.26–0.30) 513 103 0.24 (0.22–0.26) 474 95 0.23 (0.21–0.25) 299 60 0.21 (0.18–0.23) 127 25 0.18 (0.15–0.21) 28 6 0.09 (0.06–0.13)
Malignant 101 20 0.03 (0.02–0.04) 131 26 0.06 (0.05–0.08) 172 34 0.08 (0.07–0.09) 193 39 0.09 (0.08–0.11) 153 31 0.11 (0.09–0.13) -- -- -- -- -- --
Non-Malignant 1,027 205 0.31 (0.29–0.33) 438 88 0.21 (0.19–0.24) 341 68 0.16 (0.15–0.18) 281 56 0.14 (0.12–0.15) 146 29 0.10 (0.09–0.12) -- -- -- -- -- --
Choroid Plexus Tumors 121 24 0.04 (0.03–0.04) 79 16 0.04 (0.03–0.05) 62 12 0.03 (0.02–0.04) 86 17 0.04 (0.03–0.05) 48 10 0.03 (0.02–0.04) 30 6 0.04 (0.03–0.06) -- -- --
Tumors of the Pineal Region 177 35 0.05 (0.05–0.06) 98 20 0.05 (0.04–0.06) 97 19 0.05 (0.04–0.06) 83 17 0.04 (0.03–0.05) 62 12 0.04 (0.03–0.06) -- -- -- -- -- --
Malignant 101 20 0.03 (0.02–0.04) 33 7 0.02 (0.01–0.02) 49 10 0.02 (0.02–0.03) 32 6 0.02 (0.01–0.02) 28 6 0.02 (0.01–0.03) -- -- -- -- -- --
Non-Malignant 76 15 0.02 (0.02–0.03) 65 13 0.03 (0.02–0.04) 48 10 0.02 (0.02–0.03) 51 10 0.02 (0.02–0.03) 34 7 0.02 (0.02–0.03) -- -- -- -- -- --
Embryonal Tumors 468 94 0.14 (0.13–0.15) 148 30 0.07 (0.06–0.08) 96 19 0.05 (0.04–0.06) 78 16 0.04 (0.03–0.05) 35 7 0.03 (0.02–0.04) -- -- -- -- -- --
Tumors of Cranial and Paraspinal Nerves 3,109 622 0.94 (0.91–0.98) 4,403 881 2.18 (2.12–2.25) 7,049 1,410 3.27 (3.19–3.35) 9,424 1,885 4.56 (4.47–4.65) 7,815 1,563 5.49 (5.37–5.62) 3,085 617 4.31 (4.16–4.47) 597 119 1.88 (1.73–2.04)
Nerve sheath tumors -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Other tumors of cranial and paraspinal nerves -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Tumors of Meninges 5,839 1,168 1.79 (1.75–1.84) 12,257 2,451 6.08 (5.98–6.19) 24,525 4,905 11.37 (11.23–11.51) 36,592 7,318 17.65 (17.46–17.83) 43,056 8,611 30.81 (30.52–31.11) 32,713 6,543 45.57 (45.08–46.07) 18,295 3,659 57.63 (56.80–58.47)
Meningiomas 4,833 967 1.49 (1.45–1.53) 11,428 2,286 5.68 (5.57–5.78) 23,500 4,700 10.89 (10.75–11.03) 35,428 7,086 17.08 (16.90–17.26) 42,135 8,427 30.17 (29.88–30.46) 32,254 6,451 44.93 (44.44–45.42) 18,187 3,637 57.29 (56.46–58.13)
Malignant 62 12 0.02 (0.01–0.02) 103 21 0.05 (0.04–0.06) 217 43 0.10 (0.09–0.11) 400 80 0.19 (0.18–0.21) 440 88 0.32 (0.29–0.35) 316 63 0.44 (0.39–0.49) 134 27 0.42 (0.35–0.50)
Non-Malignant 4,771 954 1.47 (1.43–1.51) 11,325 2,265 5.62 (5.52–5.73) 23,283 4,657 10.79 (10.65–10.93) 35,028 7,006 16.89 (16.71–17.07) 41,695 8,339 29.85 (29.56–30.14) 31,938 6,388 44.49 (44.00–44.98) 18,053 3,611 56.87 (56.04–57.71)
Mesenchymal tumors -- -- -- -- -- -- 1,006 201 0.47 (0.44–0.50) 1,132 226 0.55 (0.52–0.58) 898 180 0.63 (0.59–0.67) 439 88 0.61 (0.56–0.67) -- -- --
Malignant -- -- -- -- -- -- 136 27 0.06 (0.05–0.08) 158 32 0.08 (0.07–0.09) 102 20 0.07 (0.06–0.09) 62 12 0.09 (0.07–0.11) -- -- --
Non-Malignant -- -- -- -- -- -- 870 174 0.41 (0.38–0.43) 974 195 0.47 (0.44–0.50) 796 159 0.56 (0.52–0.60) 377 75 0.53 (0.48–0.58) -- -- --
Primary melanocytic lesions -- -- -- -- -- -- 19 4 0.01 (0.00–0.01) 32 6 0.02 (0.01–0.02) 23 5 0.02 (0.01–0.02) 20 4 0.03 (0.02–0.04) -- -- --
Lymphomas and Hematopoietic Neoplasms 320 64 0.10 (0.09–0.11) 427 85 0.21 (0.19–0.23) 941 188 0.43 (0.40–0.46) 1,919 384 0.92 (0.88–0.96) 2,646 529 1.90 (1.83–1.97) 1,779 356 2.49 (2.37–2.61) 391 78 1.23 (1.11–1.36)
Lymphoma -- -- -- -- -- -- -- -- -- 1,900 380 0.91 (0.87–0.95) 2,624 525 1.88 (1.81–1.96) -- -- -- -- -- --
Other hematopoietic neoplasms -- -- -- -- -- -- -- -- -- 19 4 0.01 (0.01-0.01) 22 4 0.02 (0.01–0.02) -- -- -- -- -- --
Germ Cell Tumors 320 64 0.10 (0.09–0.11) 28 6 0.01 (0.01–0.02) 23 5 0.01 (0.01–0.02) 17 3 0.01 (0.00–0.01) -- -- -- -- -- -- -- -- --
Malignant 296 59 0.09 (0.08–0.10) -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Non-Malignant 24 5 0.01 (0.00–0.01) -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Tumors of Sellar Region 14,137 2,827 4.26 (4.19–4.33) 11,939 2,388 5.89 (5.78–5.99) 12,607 2,521 5.93 (5.83–6.04) 13,761 2,752 6.66 (6.55–6.77) 12,195 2,439 8.61 (8.46–8.77) 6,279 1,256 8.77 (8.56–8.99) 1,682 336 5.30 (5.05–5.56)
Tumors of the pituitary 13,757 2,751 4.15 (4.08–4.22) 11,588 2,318 5.71 (5.61–5.82) 12,144 2,429 5.72 (5.61–5.82) 13,209 2,642 6.39 (6.28–6.50) 11,816 2,363 8.35 (8.20–8.50) 6,134 1,227 8.57 (8.36–8.79) 1,658 332 5.22 (4.97–5.48)
Malignant -- -- -- 16 3 0.01 (0.00–0.01) 28 6 0.01 (0.01–0.02) 31 6 0.02 (0.01–0.02) 22 4 0.02 (0.01–0.02) 16 3 0.02 (0.01–0.04) -- -- --
Non-Malignant -- -- -- 11,572 2,314 5.70 (5.60–5.81) 12,116 2,423 5.70 (5.60–5.81) 13,178 2,636 6.38 (6.27–6.49) 11,794 2,359 8.33 (8.18–8.49) 6,118 1,224 8.55 (8.33–8.77) -- -- --
Craniopharyngioma 380 76 0.11 (0.10–0.13) 351 70 0.17 (0.16–0.19) 463 93 0.22 (0.20–0.24) 552 110 0.27 (0.24–0.29) 379 76 0.27 (0.24–0.29) 145 29 0.20 (0.17–0.24) 24 5 0.08 (0.05–0.11)
Unclassified Tumors 1,677 335 0.51 (0.48–0.53) 1,440 288 0.71 (0.68–0.75) 1,976 395 0.92 (0.88–0.96) 2,624 525 1.27 (1.22–1.32) 2,987 597 2.14 (2.06–2.22) 3,281 656 4.56 (4.40–4.71) 3,242 648 10.21 (9.86–10.57)
Hemangioma 705 141 0.21 (0.20–0.23) 583 117 0.29 (0.27–0.31) 667 133 0.31 (0.29–0.34) 727 145 0.35 (0.33–0.38) 532 106 0.37 (0.34–0.41) 328 66 0.46 (0.41–0.51) 113 23 0.36 (0.29–0.43)
Neoplasm, unspecified 903 181 0.27 (0.25–0.29) 810 162 0.40 (0.37–0.43) 1,268 254 0.59 (0.56–0.63) 1,853 371 0.90 (0.85–0.94) 2,396 479 1.73 (1.66–1.80) 2,903 581 4.03 (3.88–4.18) 3,092 618 9.74 (9.40–10.09)
Malignant 196 39 0.06 (0.05–0.07) 209 42 0.10 (0.09–0.12) 434 87 0.20 (0.18–0.22) 839 168 0.40 (0.38–0.43) 1,222 244 0.88 (0.83–0.94) 1,685 337 2.33 (2.22–2.45) 1,888 378 5.95 (5.68–6.22)
Non-Malignant 707 141 0.21 (0.20–0.23) 601 120 0.30 (0.27–0.32) 834 167 0.39 (0.37–0.42) 1,014 203 0.49 (0.46–0.52) 1,174 235 0.84 (0.79–0.89) 1,218 244 1.69 (1.60–1.79) 1,204 241 3.79 (3.58–4.01)
All other 69 14 0.02 (0.02–0.03) 47 9 0.02 (0.02–0.03) 41 8 0.02 (0.01–0.03) 44 9 0.02 (0.02–0.03) 59 12 0.04 (0.03–0.05) 50 10 0.07 (0.05–0.09) 37 7 0.12 (0.08–0.16)
TOTALb 36,528 7,306 11.05 (10.94–11.17) 39,580 7,916 19.57 (19.37–19.76) 61,368 12,274 28.53 (28.30–28.75) 87,595 17,519 42.27 (41.99–42.56) 92,482 18,496 65.84 (65.41–66.27) 60,781 12,156 84.76 (84.09–85.44) 27,942 5,588 88.02 (86.99–89.06)
Malignant 10,325 2,065 3.12 (3.06–3.18) 8,896 1,779 4.39 (4.30–4.48) 15,027 3,005 6.94 (6.83–7.05) 25,684 5,137 12.38 (12.22–12.53) 27,617 5,523 19.65 (19.42–19.89) 17,291 3,458 24.14 (23.78–24.50) 6,136 1,227 19.33 (18.85–19.82)
Non-Malignant 26,203 5,241 7.94 (7.84–8.03) 30,684 6,137 15.18 (15.01–15.35) 46,341 9,268 21.59 (21.39–21.79) 61,911 12,382 29.90 (29.66–30.14) 64,865 12,973 46.18 (45.83–46.54) 43,490 8,698 60.63 (60.06–61.20) 21,806 4,361 68.69 (67.79–69.61)

aRates are per 100,000 and age-adjusted to the 2000 US standard population.

bRefers to all brain tumors including histologies not presented in this table.

- Counts and rates are not presented when fewer than 16 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval; NOS, not otherwise specified.

Fig. 11.

Fig. 11

Age-Adjusted Incidence Ratesa of Brain and Other CNS Tumors by Selected Histologies and Age Group at Diagnosis A) Age 0–19 Years, B) Age 20+ Years and CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

  • Incidence rates declined with increasing age for those age 0–19 years, particularly for the gliomas and medulloblastoma.

  • Incidence rates of other astrocytic tumors, germ cell tumors, and embryonal tumors were higher in the younger age groups and decreased with advancing age.

  • The incidence rate for all brain and other CNS tumors was highest among age 85+ years (88.02 per 100,000 population) and lowest among children and adolescents age 0–19 years (6.29 per 100,000 population).

  • Incidence rates of meningioma increased with age.

Median Age at Diagnosis

The median age at diagnosis for all primary brain and other CNS tumors was 61 years (Table 5).

  • The histology-specific median ages ranged from 8 years for embryonal tumors to 70 years for neoplasm, unspecified.

  • Pilocytic astrocytoma, choroid plexus tumors, neuronal and mixed neuronal-glial tumors, tumors of the pineal region, embryonal tumors, and germ cell tumors were histologies with younger median ages at diagnosis compared to other histologies.

  • Meningioma and glioblastoma were primarily diagnosed at older ages (median age of 66 and 65 years, respectively).

Distributions and Incidence by Sex

Distribution by Sex and Behavior

  • Overall, 41.6% of all tumors diagnosed between 2014 and 2018 occurred in males (179,502 tumors) and 58.4% in females (252,271 tumors) (Table 5).

  • Approximately 55.7% of the malignant tumors occurred in males (69,866 tumors between 2014 and 2018) and 44.3% in females (55,658 tumors between 2014 and 2018).

  • Approximately 35.8% of the non-malignant tumors occurred in males (109,636 tumors between 2014 and 2018) and 64.2% in females (196,613 tumors between 2014 and 2018).

Incidence Rates by Site and Sex

Incidence counts and average annual age-adjusted rates for brain and other CNS tumors by site and sex are shown in Table 10.

Table 10.

Five-Year Total, Annual Average Totala, and Average Annual Age-Adjusted Incidence Ratesb with 95% Confidence Intervals of All Brain and Other Central Nervous System Tumors by Sitec and Sex, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014–2018

Site Total Male Female
5-Year Total Annual Average % of all tumors Rate (95% CI) 5-Year Total Annual Average % of all tumors Rate (95% CI) 5-Year Total Annual Average % of all tumors Rate (95% CI)
Frontal, temporal, parietal, and occipital lobes of the brain 76,010 15,202 17.6% 4.20 (4.17–4.23) 42,464 8,493 23.7% 4.96 (4.92–5.01) 33,546 6,709 13.3% 3.54 (3.50–3.58)
Frontal lobe 33,535 6,707 7.8% 1.88 (1.86–1.90) 17,851 3,570 9.9% 2.11 (2.08–2.14) 15,684 3,137 6.2% 1.68 (1.65–1.70)
Temporal lobe 24,455 4,891 5.7% 1.34 (1.33–1.36) 14,631 2,926 8.2% 1.70 (1.67–1.73) 9,824 1,965 3.9% 1.03 (1.01–1.05)
Parietal lobe 14,226 2,845 3.3% 0.77 (0.76–0.79) 7,871 1,574 4.4% 0.91 (0.89–0.93) 6,355 1,271 2.5% 0.65 (0.64–0.67)
Occipital lobe 3,794 759 0.9% 0.21 (0.20–0.21) 2,111 422 1.2% 0.25 (0.23–0.26) 1,683 337 0.7% 0.17 (0.17–0.18)
Cerebrum 7,424 1,485 1.7% 0.43 (0.42–0.44) 3,986 797 2.2% 0.48 (0.46–0.50) 3,438 688 1.4% 0.38 (0.37–0.40)
Ventricle 4,127 825 1.0% 0.25 (0.25–0.26) 2,268 454 1.3% 0.28 (0.27–0.29) 1,859 372 0.7% 0.23 (0.22–0.24)
Cerebellum 9,401 1,880 2.2% 0.59 (0.58–0.60) 5,066 1,013 2.8% 0.64 (0.63–0.66) 4,335 867 1.7% 0.53 (0.52–0.55)
Brain stem 6,095 1,219 1.4% 0.39 (0.38–0.40) 3,259 652 1.8% 0.41 (0.40–0.43) 2,836 567 1.1% 0.36 (0.35–0.38)
Other brain 33,675 6,735 7.8% 1.87 (1.85–1.89) 17,860 3,572 9.9% 2.13 (2.09–2.16) 15,815 3,163 6.3% 1.64 (1.62–1.67)
Overlapping lesion of brain 12,757 2,551 3.0% 0.69 (0.68–0.71) 7,212 1,442 4.0% 0.84 (0.82–0.86) 5,545 1,109 2.2% 0.57 (0.56–0.59)
Brain, NOS 20,918 4,184 4.8% 1.17 (1.16–1.19) 10,648 2,130 5.9% 1.29 (1.26–1.31) 10,270 2,054 4.1% 1.07 (1.05–1.09)
Spinal cord and cauda equina 12,889 2,578 3.0% 0.76 (0.75–0.78) 6,835 1,367 3.8% 0.83 (0.81–0.85) 6,054 1,211 2.4% 0.70 (0.68–0.72)
Spinal cord 12,572 2,514 2.9% 0.74 (0.73–0.76) 6,685 1,337 3.7% 0.81 (0.79–0.83) 5,887 1,177 2.3% 0.68 (0.66–0.70)
Cauda equina 381 76 0.1% 0.02 (0.02-0.02) 186 37 0.1% 0.02 (0.02–0.03) 195 39 0.1% 0.02 (0.02–0.03)
Cranial nerves 29,908 5,982 6.9% 1.68 (1.66–1.69) 14,071 2,814 7.8% 1.64 (1.61–1.67) 15,837 3,167 6.3% 1.72 (1.69–1.74)
Olfactory nerve 41 8 0.0% 0.00 (0.00-0.00) 19 4 0.0% 0.00 (0.00-0.00) 22 4 0.0% 0.00 (0.00-0.00)
Optic nerve 1,750 350 0.4% 0.12 (0.11–0.12) 821 164 0.5% 0.11 (0.10–0.12) 929 186 0.4% 0.13 (0.12–0.14)
Acoustic nerve 22,196 4,439 5.1% 1.22 (1.20–1.24) 10,458 2,092 5.8% 1.20 (1.18–1.23) 11,738 2,348 4.7% 1.24 (1.22–1.26)
Cranial nerve, NOS 5,921 1,184 1.4% 0.33 (0.33–0.34) 2,773 555 1.5% 0.33 (0.31–0.34) 3,148 630 1.2% 0.34 (0.33–0.36)
Other nervous system 2,579 516 0.6% 0.15 (0.14–0.15) 1,327 265 0.7% 0.16 (0.15–0.17) 1,252 250 0.5% 0.14 (0.13–0.14)
Overlapping lesion of brain and central nervous system 339 68 0.1% 0.02 (0.02-0.02) 185 37 0.1% 0.02 (0.02–0.03) 154 31 0.1% 0.02 (0.01–0.02)
Nervous system, NOS 2,253 451 0.5% 0.13 (0.12–0.13) 1,150 230 0.6% 0.14 (0.13–0.15) 1,103 221 0.4% 0.12 (0.11–0.13)
Meninges 169,047 33,809 39.2% 9.16 (9.12–9.21) 45,909 9,182 25.6% 5.47 (5.41–5.52) 123,138 24,628 48.8% 12.44 (12.37–12.51)
Cerebral meninges 137,656 27,531 31.9% 7.46 (7.42–7.50) 37,698 7,540 21.0% 4.48 (4.44–4.53) 99,958 19,992 39.6% 10.10 (10.04–10.17)
Spinal meninges 7,302 1,460 1.7% 0.39 (0.38–0.40) 1,624 325 0.9% 0.19 (0.18–0.20) 5,678 1,136 2.3% 0.57 (0.55–0.58)
Meninges, NOS 24,089 4,818 5.6% 1.31 (1.29–1.33) 6,587 1,317 3.7% 0.79 (0.77–0.81) 17,502 3,500 6.9% 1.77 (1.74–1.80)
Pituitary and craniopharyngeal duct 78,112 15,622 18.1% 4.61 (4.58–4.65) 34,978 6,996 19.5% 4.16 (4.12–4.21) 43,134 8,627 17.1% 5.16 (5.11–5.21)
Pituitary gland 75,996 15,199 17.6% 4.49 (4.45–4.52) 33,876 6,775 18.9% 4.02 (3.98–4.07) 42,120 8,424 16.7% 5.04 (4.99–5.09)
Craniopharyngeal duct 2,116 423 0.5% 0.13 (0.12–0.13) 1,102 220 0.6% 0.14 (0.13–0.15) 1,014 203 0.4% 0.12 (0.11–0.13)
Pineal gland 1,690 338 0.4% 0.11 (0.10–0.11) 1,012 202 0.6% 0.13 (0.12–0.14) 678 136 0.3% 0.08 (0.08–0.09)
Olfactory tumors of the nasal cavityd 739 148 0.2% 0.04 (0.04–0.05) 423 85 0.2% 0.05 (0.05–0.06) 316 63 0.1% 0.03 (0.03–0.04)
TOTAL 431,773 86,355 100.0% 24.25 (24.17–24.32) 179,502 35,900 100.0% 21.35 (21.25–21.46) 252,271 50,454 100.0% 26.95 (26.85–27.06)

aAnnual average cases are calculated by dividing the five-year total by five.

bRates are per 100,000 and are age-adjusted to the 2000 US standard population.

cThe sites referred to in this table are loosely based on the categories and site codes defined in the SEER site/histology validation list.

dICD-O-3 histology codes 9522–9523 only.

-Counts and rates are not presented when fewer than 16 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval

  • Incidence rates were highest for tumors located in the meninges (9.16 per 100,000 population) and lowest for olfactory tumors of the nasal cavity (0.04 per 100,000 population).

  • Incidence rates were higher in females than in males for tumors located in the meninges, pituitary and craniopharyngeal duct, and cranial nerves, while males had higher incidence rates for tumors located in most other locations.

Incidence Rates by Sex and Histology

AAAIRs by sex and histology are shown in Table 5. Incidence rates for all primary brain and other CNS tumors combined were higher among females (26.95 per 100,000 population) than males (21.35 per 100,000 population).

  • The incidence rate of diffuse astrocytic and oligodendroglial tumors was higher in males (5.51 per 100,000 population) than in females (3.65 per 100,000 population).

  • The incidence rate of tumors of meninges was higher in females (12.76 per 100,000 population) than in males (5.79 per 100,000 population).

Incidence rate ratios (male:female) by histology are shown in Figure 12.

Fig. 12.

Fig. 12

Incidence Rate Ratios by Sex (Males:Females) for Selected Primary Brain and Other CNS Tumor Histologies, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

  • Incidence was higher in males for many histologies, such as germ cell tumors (p<0.0001), lymphomas (p<0.0001), and embryonal tumors (p<0.0001), and for most glial tumors.

  • In addition to non-malignant (p<0.0001) and malignant (p=0.0815) meningiomas, tumors of the pituitary (p<0.0001) were also more common in females than in males.

Distribution and Incidence Rates by CCR, Age at Diagnosis, Diagnostic Confirmation, and Behavior

The overall number of reported tumors is listed by CCR in Table 11. While most malignant tumors are diagnosed by histologic confirmation (where the patient receives surgery and diagnosis is confirmed by a pathologist), brain and other CNS tumors may also be diagnosed by radiographic confirmation only (where the tumor was visualized on MRI, CT, X-ray, or other imaging technology, but surgery was not performed).

Table 11.

Characteristics of All Brain and Other Central Nervous System Tumors by Central Cancer Registry, Behavior and Diagnostic Confirmation, CBTRUS Statistical Report: U.S. Cancer Statistics - NPCR and SEER, 2014–2018

State Total Malignant Non-Malignant Average Annual 5-Year Populationa
5-Year Total Annual Average Histologically Confirmed (%)b Radiographically Confirmed (%)c 5-Year Total % Malignant Histologically Confirmed (%) Radiographically Confirmed (%) 5-Year Total % Malignant Histologically Confirmed (%)b Radiographically Confirmed (%)c
Alabama 5,220 1,044 59.4% 34.1% 1,852 35.5% 78.1% 6.9% 3,368 64.5% 49.1% 49.0% 4,864,675
Alaska 903 181 46.8% 49.7% 265 29.4% 82.3% 12.5% 638 70.7% 32.1% 65.2% 738,516
Arizona 7,879 1,576 63.2% 32.6% 2,502 31.8% 84.7% 7.6% 5,377 68.2% 53.3% 44.2% 6,946,682
Arkansas 3,817 763 52.0% 43.9% 1,229 32.2% 81.6% 11.1% 2,588 67.8% 37.9% 59.5% 2,990,673
California 46,765 9,353 57.5% 37.7% 13,593 29.1% 84.9% 8.3% 33,172 70.9% 46.3% 49.7% 39,148,760
Colorado 8,131 1,626 48.6% 48.6% 2,078 25.6% 82.0% 13.0% 6,053 74.4% 37.2% 60.8% 5,531,142
Connecticut 4,679 936 66.5% 30.8% 1,581 33.8% 89.1% 7.8% 3,098 66.2% 55.0% 42.5% 3,581,502
Delaware 1,050 210 67.2% 30.4% 389 37.1% 84.3% 11.8% 661 63.0% 57.2% 41.3% 949,495
District of Columbia 801 160 54.7% 41.7% 185 23.1% 86.5% 6.5% 616 76.9% 45.1% 52.3% 684,498
Florida 31,799 6,360 51.9% 44.4% 8,810 27.7% 84.2% 10.4% 22,989 72.3% 39.6% 57.5% 20,598,140
Georgia 14,081 2,816 48.1% 46.3% 3,472 24.7% 83.2% 11.4% 10,609 75.3% 36.6% 57.8% 10,297,481
Hawaii 1,602 320 53.4% 41.0% 384 24.0% 83.9% 9.4% 1,218 76.0% 43.8% 51.0% 1,422,029
Idaho 2,190 438 59.4% 37.5% 728 33.2% 82.6% 13.2% 1,462 66.8% 47.9% 49.6% 1,687,809
Illinois 17,981 3,596 54.3% 43.1% 4,881 27.2% 87.6% 7.9% 13,100 72.9% 41.9% 56.2% 12,821,495
Indiana 7,722 1,544 54.5% 42.4% 2,551 33.0% 85.6% 10.1% 5,171 67.0% 39.1% 58.3% 6,637,427
Iowa 4,612 922 56.2% 41.1% 1,404 30.4% 83.8% 11.2% 3,208 69.6% 44.1% 54.2% 3,132,506
Kansas 3,608 722 52.8% 44.5% 1,071 29.7% 89.0% 8.2% 2,537 70.3% 37.5% 59.8% 2,908,771
Kentucky 7,041 1,408 47.6% 46.7% 1,965 27.9% 79.7% 11.2% 5,076 72.1% 35.1% 60.4% 4,440,197
Louisiana 6,381 1,276 55.0% 39.9% 1,612 25.3% 86.5% 9.4% 4,769 74.7% 44.4% 50.2% 4,663,613
Maine 1,572 314 68.6% 27.8% 689 43.8% 84.3% 9.7% 883 56.2% 56.3% 41.9% 1,332,816
Maryland 7,616 1,523 57.9% 37.6% 2,141 28.1% 85.1% 7.2% 5,475 71.9% 47.2% 49.5% 6,003,437
Massachusetts 7,976 1,595 68.4% 27.8% 2,937 36.8% 87.8% 7.4% 5,039 63.2% 57.0% 39.7% 6,830,192
Michigan 12,331 2,466 57.4% 37.0% 4,030 32.7% 83.7% 7.0% 8,301 67.3% 44.6% 51.5% 9,957,483
Minnesota 6,499 1,300 69.5% 27.6% 2,366 36.4% 87.6% 8.8% 4,133 63.6% 59.2% 38.4% 5,527,354
Mississippi 3,623 725 55.6% 40.9% 1,050 29.0% 85.2% 10.9% 2,573 71.0% 43.6% 53.1% 2,988,761
Missouri 8,263 1,653 53.4% 42.3% 2,534 30.7% 84.8% 9.0% 5,729 69.3% 39.5% 57.0% 6,090,061
Montana 1,547 309 52.8% 43.3% 487 31.5% 80.5% 13.8% 1,060 68.5% 40.1% 56.9% 1,041,730
Nebraska 2,205 441 57.7% 39.1% 795 36.1% 83.0% 11.3% 1,410 64.0% 43.5% 54.7% 1,904,759
Nevadad 2,635 527 55.6% 39.6% 881 33.4% 83.0% 8.6% 1,754 66.6% 41.9% 55.1% 2,315,971
New Hampshire 1,843 369 59.7% 37.7% 630 34.2% 90.5% 5.4% 1,213 65.8% 43.8% 54.4% 1,343,623
New Jersey 13,522 2,704 52.7% 42.5% 3,738 27.6% 85.9% 8.8% 9,784 72.4% 40.0% 55.4% 8,881,846
New Mexico 2,033 407 68.4% 24.7% 692 34.0% 87.3% 6.1% 1,341 66.0% 58.7% 34.3% 2,092,433
New York 31,493 6,299 50.9% 45.6% 7,991 25.4% 84.5% 10.6% 23,502 74.6% 39.5% 57.5% 19,618,452
North Carolina 14,020 2,804 53.2% 43.5% 3,839 27.4% 86.0% 9.0% 10,181 72.6% 40.8% 56.5% 10,155,624
North Dakota 822 164 47.2% 49.9% 265 32.2% 83.4% 11.3% 557 67.8% 30.0% 68.2% 752,202
Ohio 13,777 2,755 64.4% 31.1% 4,984 36.2% 86.5% 7.1% 8,793 63.8% 51.8% 44.7% 11,641,879
Oklahoma 4,471 894 57.1% 38.9% 1,505 33.7% 82.0% 10.0% 2,966 66.3% 44.4% 53.6% 3,918,137
Oregon 4,781 956 65.7% 29.5% 1,748 36.6% 83.0% 6.9% 3,033 63.4% 55.8% 42.5% 4,081,947
Pennsylvania 20,070 4,014 48.8% 46.6% 5,787 28.8% 80.9% 9.9% 14,283 71.2% 35.8% 61.5% 12,791,181
Rhode Island 1,171 234 64.6% 31.4% 467 39.9% 86.5% 8.4% 704 60.1% 50.0% 46.7% 1,056,611
South Carolina 6,486 1,297 52.8% 42.5% 1,948 30.0% 84.5% 9.3% 4,538 70.0% 39.3% 56.8% 4,955,925
South Dakota 1,065 213 43.8% 52.5% 322 30.2% 76.1% 16.8% 743 69.8% 29.7% 68.0% 864,286
Tennessee 9,282 1,856 50.7% 46.1% 2,613 28.2% 85.5% 9.2% 6,669 71.9% 37.1% 60.6% 6,651,090
Texas 35,477 7,095 48.6% 45.6% 9,461 26.7% 80.2% 13.4% 26,016 73.3% 37.1% 57.4% 27,885,202
Utah 5,612 1,122 41.7% 57.0% 1,044 18.6% 85.1% 12.5% 4,568 81.4% 31.8% 67.1% 3,045,346
Vermont 930 186 56.5% 40.4% 279 30.0% 88.5% 4.7% 651 70.0% 42.7% 55.8% 624,977
Virginia 9,078 1,816 61.7% 34.3% 3,049 33.6% 85.1% 6.6% 6,029 66.4% 49.9% 48.3% 8,413,764
Washington 12,844 2,569 44.3% 51.3% 3,116 24.3% 81.4% 11.2% 9,728 75.7% 32.4% 64.1% 7,294,337
West Virginia 2,676 535 51.8% 44.2% 820 30.6% 86.0% 9.6% 1,856 69.4% 36.6s% 59.4% 1,829,054
Wisconsin 9,096 1,819 49.1% 47.6% 2,537 27.9% 83.5% 11.8% 6,559 72.1% 35.8% 61.5% 5,778,391
Wyoming 695 139 63.6% 34.5% 227 32.7% 86.3% 10.1% 468 67.3% 52.6% 46.4% 581,835
TOTAL 431,773 86,355 54.1% 41.7% 125,524 29.1% 84.2% 9.5% 306,249 70.9% 41.8% 54.8% 322,296,120

aPopulation estimates were obtained from the United States Bureau of the Census available on the SEER program website.

bHistologic confirmation includes tumors classified as having diagnosis confirmed by: positive histology, positive cytology, positive histology plus – positive immunophenotyping and/or positive genetic studies, or positive microscopic confirmation, method not specified.

cRadiographic confirmation includes tumors classified as having diagnosis confirmed by Radiography and/or other imaging techniques without microscopic confirmation.

d2014–2017 only

-Counts and rates are not presented when fewer than 16 cases were reported for the specific category, or where the inclusion of the count and rate would allow for back-calculation of suppressed values. The suppressed cases are included in the counts and rates for totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program.

  • Approximately 71% of tumors were non-malignant, but there was variation by cancer registry (range: 56.2%-81.4%).

  • Overall, 54.1% of tumors were histologically confirmed. A larger proportion of malignant tumors were histologically confirmed (84.2%) compared to non-malignant tumors (41.8%).

  • A slight majority of non-malignant brain and other CNS tumors were radiographically confirmed (54.8%).

The overall AAAIRs by age, behavior, and CCR are shown in Table 12 and Figure 13.

Table 12.

Average Annual Age-Adjusted Incidence Ratesa with 95% Confidence Intervals for All Brain and Other Central Nervous System Tumors by Age Group at Diagnosis, Behavior, and Central Cancer Registry, CBTRUS Statistical Report: U.S. Cancer Statistics –NPCR and SEER, 2014–2018

State All Ages 0–19 Years 20+Years
All Malignant Non-Malignant All Malignant Non-Malignant All Malignant Non-Malignant
5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average 95% CI 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI)
Alabama 5,2120 1,044 18.94 (18.41–19.48) 1,852 370 6.70 (6.39–7.02) 3,368 674 12.25 (11.82–12.68) 322 64 5.25 (4.69–5.86) 224 45 3.67 (3.20–4.18) 98 20 1.58 (1.29–1.93) 4,898 980 24.44 (23.74–25.16) 1,628 326 7.91 (7.52–8.32) 3,270 654 16.54 (15.96–17.13)
Alaska 903 181 25.60 (23.87–27.43) 265 53 7.20 (6.32–8.17) 638 128 18.41 (16.93–19.98) 71 14 7.14 (5.57–9.01) 37 7 3.61 (2.54–4.98) 34 7 3.53 (2.44–4.94) 832 166 33.03 (30.69–35.49) 228 46 8.64 (7.50–9.92) 604 121 24.39 (22.37–26.53)
Arizona 7,879 1,576 20.16 (19.71–20.63) 2,502 500 6.37 (6.12–6.63) 5,377 1,075 13.79 (13.42–14.18) 497 99 5.46 (4.99–5.96) 273 55 3.01 (2.66–3.39) 224 45 2.45 (2.14–2.79) 7,382 1,476 26.08 (25.47–26.70) 2,229 446 7.72 (7.40–8.06) 5,153 1,031 18.36 (17.84–18.88)
Arkansas 3,817 763 22.73 (21.99–23.48) 1,229 246 7.30 (6.89–7.73) 2,588 518 15.43 (14.82–16.05) 239 48 6.08 (5.33–6.90) 140 28 3.56 (3.00–4.21) 99 20 2.51 (2.04–3.06) 3,578 716 29.43 (28.44–30.44) 1,089 218 8.80 (8.27–9.36) 2,489 498 20.62 (19.80–21.47)
California 46,765 9,353 22.66 (22.45–22.87) 13,593 2,719 6.60 (6.49–6.72) 33,172 6,634 16.05 (15.88–16.23) 2,7 540 5.33 (5.13–5.54) 1,552 310 3.07 (2.92–3.22) 1,149 230 2.26 (2.13–2.40) 44,064 8,813 29.63 (29.34–29.91) 12,041 2,408 8.02 (7.88–8.17) 32,023 6,405 21.60 (21.36–21.84)
Colorado 8,131 1,626 28.05 (27.42–28.68) 2,078 416 7.12 (6.81–7.44) 6,053 1,211 20.93 (20.39–21.48) 433 87 6.18 (5.61–6.79) 236 47 3.37 (2.95–3.83) 197 39 2.81 (2.43–3.23) 7,698 1,540 36.84 (36.00–37.70) 1,842 368 8.63 (8.23–9.04) 5,856 1,171 28.22 (27.48–28.97)
Connecticut 4,679 936 22.56 (21.89–23.25) 1,581 316 7.62 (7.24–8.02) 3,098 620 14.94 (14.40–15.50) 272 54 6.29 (5.56–7.09) 156 31 3.70 (3.14–4.33) 116 23 2.60 (2.14–3.12) 4,407 881 29.11 (28.22–30.01) 1,425 285 9.20 (8.71–9.71) 2,982 596 19.91 (19.17–20.66)
Delaware 1,050 210 19.00 (17.82–20.24) 389 78 6.96 (6.26–7.73) 661 132 12.03 (11.09–13.04) 85 17 7.46 (5.96–9.23) 51 10 4.48 (3.34–5.89) 34 7 2.98 (2.06–4.17) 965 193 23.64 (22.11–25.26) 338 68 7.96 (7.11–8.90) 627 125 15.68 (14.41–17.02)
District of Columbia 801 160 24.13 (22.43–25.93) 185 37 5.56 (4.76–6.46) 616 123 18.57 (17.09–20.15) 44 9 6.48 (4.65–8.78) 27 5 3.74 (2.43–5.52) 17 3 2.74 (1.56–4.42) 757 151 31.23 (28.98–33.61) 158 32 6.29 (5.32–7.39) 599 120 24.94 (22.93–27.08)
Florida 31,799 6,360 25.00 (24.71–25.29) 8,810 1,762 7.07 (6.91–7.22) 22,989 4,598 17.93 (17.69–18.18) 1,588 318 6.87 (6.54–7.22) 875 175 3.80 (3.55–4.06) 713 143 3.07 (2.85–3.31) 30,211 6,042 32.29 (31.91–32.67) 7,925 1,587 8.38 (8.19–8.58) 22,276 4,455 23.91 (23.58–24.24)
Georgia 14,081 2,816 26.46 (26.01–26.91) 3,472 694 6.51 (6.29–6.73) 10,609 2,122 19.95 (19.57–20.34) 972 194 6.97 (6.54–7.42) 487 97 3.51 (3.21–3.84) 485 97 3.46 (3.16–3.78) 13,109 2,622 34.30 (33.70–34.90) 2,985 597 7.71 (7.43–8.00) 10,124 2,025 26.59 (26.06–27.12)
Hawaii 1,602 320 19.52 (18.53–20.54) 384 77 4.82 (4.33–5.35) 1,218 244 14.70 (13.85–15.58) 67 13 4.03 (3.12–5.12) 40 8 2.36 (1.68–3.21) 27 5 1.68 (1.10–2.44) 1,535 307 25.74 (24.42–27.12) 344 69 5.81 (5.19–6.48) 1,191 238 19.93 (18.77–21.15)
Idaho 2,190 438 24.16 (23.13–25.23) 730 146 8.04 (7.45–8.66) 1,460 292 16.13 (15.29–17.00) 129 26 5.33 (4.45–6.33) 76 15 3.15 (2.48–3.95) 53 11 2.18 (1.63–2.85) 2,061 412 31.74 (30.34–33.18) 654 131 10.00 (9.23–10.82) 1,407 281 21.74 (20.58–22.94)
Illinois 17,981 3,596 25.67 (25.29–26.06) 4,881 976 6.99 (6.79–7.19) 13,100 2,620 18.69 (18.36–19.02) 987 197 6.04 (5.67–6.43) 567 113 3.49 (3.21–3.79) 420 84 2.55 (2.31–2.81) 16,994 3,399 33.57 (33.05–34.09) 4,314 863 8.39 (8.14–8.66) 12,680 2,536 25.18 (24.73–25.63)
Indiana 7,722 1,544 21.30 (20.81–21.79) 2,551 510 7.06 (6.79–7.35) 5,171 1,034 14.24 (13.84–14.64) 503 101 5.71 (5.22–6.24) 297 59 3.39 (3.02–3.80) 206 41 2.32 (2.02–2.66) 7,219 1,444 27.57 (26.92–28.23) 2,254 451 8.54 (8.18–8.91) 4,965 993 19.03 (18.49–19.58)
Iowa 4,612 922 25.90 (25.13–26.69) 1,404 281 7.80 (7.39–8.24) 3,208 642 18.10 (17.46–18.77) 269 54 6.53 (5.77–7.35) 148 30 3.61 (3.05–4.24) 121 24 2.92 (2.42–3.49) 4,343 869 33.70 (32.67–34.76) 1,256 251 9.49 (8.95–10.05) 3,087 617 24.21 (23.33–25.12)
Kansas 3,608 722 22.84 (22.08–23.62) 1,071 214 6.76 (6.35–7.19) 2,537 507 16.09 (15.45–16.75) 223 45 5.60 (4.89–6.39) 131 26 3.29 (2.75–3.90) 92 18 2.32 (1.87–2.84) 3,385 677 29.78 (28.75–30.83) 940 188 8.15 (7.62–8.71) 2,445 489 21.63 (20.75–22.53)
Kentucky 7,041 1,408 28.66 (27.97–29.35) 1,965 393 7.98 (7.62–8.35) 5,076 1,015 20.68 (20.10–21.28) 465 93 8.25 (7.52–9.04) 246 49 4.37 (3.84–4.95) 219 44 3.89 (3.39–4.44) 6,576 1,315 36.86 (35.95–37.79) 1,719 344 9.43 (8.97–9.90) 4,857 971 27.44 (26.65–28.24)
Louisiana 6,381 1,276 25.28 (24.65–25.93) 1,612 322 6.38 (6.06–6.71) 4,769 954 18.90 (18.35–19.46) 387 77 6.34 (5.73–7.01) 218 44 3.54 (3.09–4.05) 169 34 2.80 (2.39–3.26) 5,994 1,199 32.90 (32.05–33.77) 1,394 279 7.52 (7.12–7.94) 4,600 920 25.38 (24.63–26.15)
Maine 1,572 314 19.17 (18.17–20.21) 689 138 8.46 (7.80–9.16) 883 177 10.72 (9.97–11.50) 85 17 5.91 (4.72–7.32) 64 13 4.49 (3.45–5.73) 21 4 1.42 (0.88–2.18) 1,487 297 24.51 (23.20–25.87) 625 125 10.05 (9.24–10.92) 862 172 14.45 (13.44–15.52)
Maryland 7,616 1,523 22.92 (22.39–23.45) 2,141 428 6.54 (6.26–6.83) 5,475 1,095 16.38 (15.94–16.83) 405 81 5.40 (4.89–5.96) 235 47 3.15 (2.76–3.58) 170 34 2.26 (1.93–2.62) 7,211 1,442 29.96 (29.25–30.68) 1,906 381 7.90 (7.54–8.27) 5,305 1,061 22.06 (21.45–22.68)
Massachusetts 7,976 1,595 20.55 (20.09–21.02) 2,937 587 7.62 (7.34–7.91) 5,039 1,008 12.93 (12.56–13.31) 457 91 5.71 (5.20–6.26) 281 56 3.56 (3.16–4.01) 176 35 2.15 (1.84–2.49) 7,519 1,504 26.52 (25.91–27.15) 2,656 531 9.25 (8.89–9.62) 4,863 973 17.27 (16.77–17.78)
Michigan 12,331 2,466 21.61 (21.22–22.01) 4,030 806 7.10 (6.88–7.33) 8,301 1,660 14.51 (14.18–14.84) 647 129 5.23 (4.83–5.65) 406 81 3.32 (3.01–3.66) 241 48 1.91 (1.68–2.17) 11,684 2,337 28.20 (27.67–28.74) 3,624 725 8.62 (8.33–8.92) 8,060 1,612 19.58 (19.13–20.03)
Minnesota 6,499 1,300 21.26 (20.73–21.80) 2,366 473 7.83 (7.51–8.16) 4,133 827 13.43 (13.01–13.86) 453 91 6.29 (5.73–6.90) 275 55 3.81 (3.37–4.29) 178 36 2.48 (2.13–2.88) 6,046 1,209 27.29 (26.58–28.00) 2,092 418 9.46 (9.04–9.88) 3,954 791 17.83 (17.26–18.41)
Mississippi 3,623 725 22.08 (21.34–22.83) 1,050 210 6.41 (6.02–6.82) 2,573 515 15.67 (15.05–16.30) 199 40 4.94 (4.28–5.68) 116 23 2.89 (2.39–3.47) 83 17 2.05 (1.63–2.54) 3,424 684 28.97 (27.98–29.98) 934 186 7.82 (7.32–8.36) 2,490 498 21.14 (20.30–22.02)
Missouri 8,263 1,653 23.96 (23.43–24.50) 2,534 507 7.37 (7.08–7.67) 5,729 1,146 16.59 (16.15–17.04) 478 96 6.19 (5.65–6.78) 308 62 4.00 (3.56–4.47) 170 34 2.20 (1.88–2.55) 7,785 1,557 31.11 (30.40–31.83) 2,226 445 8.73 (8.36–9.11) 5,559 1,112 22.38 (21.78–23.00)
Montana 1,547 309 25.39 (24.08–26.76) 487 97 7.84 (7.13–8.61) 1,060 212 17.55 (16.45–18.70) 65 13 5.13 (3.96–6.54) 35 7 2.76 (1.92–3.84) 30 6 2.37 (1.60–3.38) 1,482 296 33.54 (31.77–35.39) 452 90 9.89 (8.95–10.90) 1,030 206 23.65 (22.15–25.23)
Nebraska 2,205 441 21.49 (20.57–22.43) 795 159 7.67 (7.13–8.24) 1,410 282 13.82 (13.08–14.58) 185 37 7.06 (6.07–8.15) 108 22 4.08 (3.35–4.93) 77 15 2.97 (2.34–3.71) 2,020 404 27.29 (26.08–28.55) 687 137 9.11 (8.42–9.84) 1,333 267 18.18 (17.19–19.22)
Nevadab 2,635 527 20.80 (20.00–21.64) 881 176 6.92 (6.46–7.41) 1,754 351 13.88 (13.22–14.56) 170 34 5.79 (4.95–6.73) 110 22 3.71 (3.05–4.47) 60 12 2.08 (1.59–2.68) 2,465 493 26.84 (25.77–27.95) 771 154 8.22 (7.63–8.84) 1,694 339 18.63 (17.73–19.56)
New Hampshire 1,843 369 23.06 (21.96–24.20) 630 126 7.95 (7.31–8.63) 1,213 243 15.11 (14.23–16.03) 105 21 6.93 (5.66–8.40) 68 14 4.57 (3.54–5.80) 37 7 2.37 (1.66–3.27) 1,738 348 29.55 (28.10–31.04) 562 112 9.31 (8.52–10.16) 1,176 235 20.23 (19.04–21.49)
New Jersey 13,522 2,704 27.04 (26.57–27.51) 3,738 748 7.51 (7.27–7.76) 9,784 1,957 19.53 (19.13–19.93) 764 153 6.98 (6.49–7.49) 405 81 3.72 (3.37–4.10) 359 72 3.26 (2.93–3.62) 12,758 2,552 35.11 (34.49–35.74) 3,333 667 9.04 (8.72–9.36) 9,425 1,885 26.07 (25.54–26.62)
New Mexico 2,033 407 17.31 (16.54–18.11) 692 138 5.82 (5.38–6.28) 1,341 268 11.49 (10.86–12.15) 116 23 4.24 (3.50–5.08) 64 13 2.34 (1.80–2.98) 52 10 1.90 (1.42–2.50) 1,917 383 22.57 (21.53–23.64) 628 125 7.22 (6.65–7.83) 1,289 258 15.35 (14.49–16.25)
New York 31,493 6,299 28.61 (28.29–28.94) 7,991 1,595 7.31 (7.14–7.47) 23,502 4,700 21.30 (21.02–21.59) 1,906 381 8.18 (7.81–8.55) 944 189 4.06 (3.81–4.33) 962 192 4.11 (3.86–4.38) 29,587 5,917 36.83 (36.40–37.26) 7,047 1,409 8.61 (8.40–8.82) 22,540 4,508 28.22 (27.84–28.60)
North Carolina 14,020 2,804 24.82 (24.40–25.25) 3,839 767 6.84 (6.62–7.06) 10,181 2,036 17.98 (17.62–18.34) 751 150 5.83 (5.42–6.26) 454 91 3.54 (3.22–3.88) 297 59 2.29 (2.04–2.56) 13,269 2,654 32.46 (31.89–33.03) 3,386 677 8.17 (7.89–8.45) 9,883 1,977 24.29 (23.80–24.79)
North Dakota 822 164 21.09 (19.62–22.64) 265 53 6.58 (5.79–7.45) 557 111 14.51 (13.28–15.82) 51 10 5.15 (3.82–6.78) 28 6 2.77 (1.84–4.02) 23 5 2.37 (1.50–3.57) 771 154 27.50 (25.52–29.60) 237 47 8.11 (7.08–9.26) 534 107 19.39 (17.71–21.18)
Ohio 13,777 2,755 20.89 (20.53–21.25) 4,984 995 7.55 (7.34–7.77) 8,793 1,759 13.33 (13.04–13.62) 1,000 200 6.81 (6.39–7.24) 604 121 4.13 (3.81–4.47) 396 79 2.68 (2.42–2.96) 12,777 2,555 26.55 (26.07–27.03) 4,380 876 8.93 (8.66–9.21) 8,397 1,679 17.62 (17.23–18.01)
Oklahoma 4,471 894 21.03 (20.40–21.67) 1,505 301 6.99 (6.63–7.36) 2,966 593 14.04 (13.53–14.57) 283 57 5.31 (4.71–5.97) 175 35 3.27 (2.81–3.80) 108 22 2.04 (1.67–2.46) 4,188 838 27.35 (26.50–28.21) 1,330 266 8.48 (8.02–8.96) 2,858 572 18.87 (18.17–19.59)
Oregon 4,781 956 20.57 (19.97–21.18) 1,748 349 7.50 (7.14–7.87) 3,033 607 13.07 (12.59–13.56) 305 61 6.32 (5.63–7.07) 182 36 3.78 (3.25–4.38) 123 25 2.54 (2.11–3.03) 4,476 895 26.30 (25.51–27.11) 1,566 313 8.99 (8.54–9.46) 2,910 582 17.31 (16.66–17.97)
Pennsylvania 20,070 4,014 26.51 (26.13–26.90) 5,787 1,156 7.71 (7.50–7.92) 14,283 2,857 18.80 (18.48–19.13) 986 197 6.46 (6.06–6.88) 601 120 4.00 (3.69–4.33) 385 77 2.46 (2.22–2.72) 19,084 3,817 34.58 (34.07–35.09) 5,186 1,0367 9.20 (8.94–9.47) 13,898 2,780 25.38 (24.94–25.82)
Rhode Island 1,171 234 19.05 (17.93–20.22) 467 93 7.58 (6.88–8.34) 704 141 11.46 (10.60–12.38) 61 12 5.07 (3.87–6.52) 37 7 3.18 (2.24–4.38) 24 5 1.89 (1.21–2.83) 1,110 222 24.67 (23.18–26.22) 430 86 9.35 (8.46–10.32) 680 136 15.31 (14.14–16.56)
South Carolina 6,486 1,297 22.69 (22.12–23.27) 1,944 390 6.82 (6.51–7.14) 4,538 908 15.87 (15.40–16.36) 345 69 5.59 (5.02–6.22) 201 40 3.27 (2.83–3.75) 144 29 2.33 (1.96–2.74) 6,141 1,228 29.57 (28.81–30.35) 1,747 349 8.25 (7.85–8.66) 4,394 879 21.32 (20.67–21.99)
South Dakota 1,065 213 22.32 (20.95–23.76) 322 64 6.68 (5.94–7.48) 743 149 15.65 (14.49–16.86) 48 10 4.08 (3.01–5.42) -- -- -- -- -- 1,017 203 29.66 (27.78–31.62) 289 58 8.24 (7.28–9.29) 728 146 21.42 (19.83–23.11)
Tennessee 9,282 1,856 24.95 (24.43–25.48) 2,613 523 7.04 (6.77–7.33) 6,669 1,334 17.91 (17.47–18.36) 507 101 6.08 (5.56–6.63) 299 60 3.59 (3.19–4.02) 208 42 2.49 (2.16–2.85) 8,775 1,755 32.55 (31.85–33.26) 2,314 463 8.43 (8.08–8.79) 6,461 1,292 24.12 (23.51–24.73)
Texas 35,477 7,095 25.86 (25.59–26.14) 9,461 1,892 6.80 (6.66–6.94) 26,012 5,202 19.06 (18.83–19.30) 2,645 529 6.56 (6.32–6.82) 1,438 288 3.55 (3.37–3.74) 1,207 241 3.02 (2.85–3.19) 32,832 6,566 33.63 (33.26–34.00) 8,023 1,605 8.10 (7.92–8.28) 24,809 4,962 25.52 (25.20–25.85)
Utah 5,612 1,122 41.62 (40.52–42.75) 1,044 209 7.41 (6.96–7.88) 4,568 914 34.21 (33.21–35.24) 312 62 6.26 (5.59–7.00) 160 32 3.17 (2.69–3.70) 152 30 3.10 (2.62–3.63) 5,300 1,060 55.84 (54.32–57.40) 884 177 9.12 (8.52–9.75) 4,416 883 46.72 (45.33–48.15)
Vermont 930 186 25.11 (23.43–26.89) 279 56 7.47 (6.57–8.46) 651 130 17.64 (16.23–19.15) 43 9 6.32 (4.57–8.53) 18 4 2.75 (1.62–4.35) 25 5 3.57 (2.31–5.29) 887 177 32.67 (30.43–35.03) 261 52 9.37 (8.21–10.65) 626 125 23.30 (21.41–25.32)
Virginia 9,078 1,816 19.61 (19.20–20.03) 3,049 610 6.61 (6.37–6.85) 6,029 1,206 13.01 (12.67–13.35) 547 109 5.21 (4.78–5.67) 354 71 3.39 (3.04–3.76) 193 39 1.83 (1.58–2.11) 8,531 1,706 25.40 (24.86–25.96) 2,695 539 7.90 (7.60–8.21) 5,836 1,167 17.51 (17.05–17.97)
Washington 12,844 2,569 32.41 (31.84–32.99) 3,116 623 7.89 (7.61–8.18) 9,728 1,946 24.52 (24.02–25.03) 710 142 7.89 (7.32–8.50) 402 80 4.43 (4.01–4.89) 308 62 3.46 (3.08–3.87) 12,134 2,427 42.27 (41.50–43.05) 2,714 543 9.28 (8.92–9.65) 9,420 1,884 32.99 (32.31–33.68)
West Virginia 2,676 535 24.32 (23.36–25.31) 820 164 7.49 (6.96–8.05) 1,856 371 16.84 (16.04–17.66) 141 28 6.73 (5.66–7.93) 81 16 3.89 (3.09–4.83) 60 12 2.84 (2.17–3.66) 2,535 507 31.40 (30.13–32.71) 739 148 8.94 (8.27–9.64) 1,796 359 22.47 (21.39–23.58)
Wisconsin 9,096 1,819 27.66 (27.08–28.26) 2,537 507 7.73 (7.42–8.04) 6,559 1,312 19.94 (19.44–20.44) 442 88 6.10 (5.55–6.70) 268 54 3.73 (3.30–4.21) 174 35 2.37 (2.03–2.75) 8,654 1,731 36.34 (35.55–37.14) 2,269 453 9.33 (8.94–9.74) 6,385 1,277 27.00 (26.32–27.70)
Wyoming 695 139 21.74 (20.09–23.48) 227 45 7.09 (6.17–8.12) 468 94 14.64 (13.30–16.09) 322 6 4.09 (2.78–5.80) -- -- -- -- -- -- 664 133 28.84 (26.60–31.21) 210 42 9.06 (7.83–10.42) 454 91 19.78 (17.93–21.77)
United States 431,733 86,355 24.25 (24.17–24.32) 125,524 25,105 7.06 (7.02–7.10) 306,249 61,250 17.19 (17.12–17.25) 25,497 5,099 6.21 (6.14–6.29) 14,548 2,910 3.56 (3.50–3.61) 10,949 2,190 2.66 (2.61–2.71) 406,276 81,255 31.50 (31.40–31.60) 110,976 22,195 8.47 (8.42–8.52) 295, 300 59,060 23.03 (22.95–23.12)

aRates are per 100,000 and are age-adjusted to the 2000 US standard population.

b2014–2017 only

- Counts are not presented when fewer than 16 cases were reported for the specific category, or where the inclusion of the count and rate would allow for back-calculation of suppressed values. The suppressed cases are included in the counts and rates for Totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval

Fig. 13.

Fig. 13

Average Annual Age-Adjusted Incidence Ratesa of Malignant and Non-Malignant Primary Brain and Other CNS Tumors by Central Cancer Registry, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

  • There was less variation by region for malignant tumor incidence rates (Figure 13A) compared to incidence rates for non-malignant tumors (Figure 13B). Regional variations between CCR likely reflect differences in reporting and case ascertainment practices.

  • The overall AAAIRs of all tumors (malignant and non-malignant) for each individual CCR ranged from 11.49 to 41.62 per 100,000 population. Please see Supplementary Figure 2 for combined incidence of malignant and non-malignant tumors by CCR.

  • AAAIRs of all primary malignant tumors ranged from 4.48 to 8.46 per 100,000 population, and AAAIRs of all primary non-malignant tumors ranged from 7.01 to 34.21 per 100,000 population.

  • Among adults 20 years of age and older, CCR-specific incidence rates ranged from 5.79 to 10.05 per 100,000 population for malignant tumors and from 14.45 to 46.72 per 100,000 population for non-malignant tumors.

  • In persons less than 20 years of age, incidence rates ranged from 2.21 to 4.57 per 100,000 population for malignant tumors and from 1.42 to 4.11 per 100,000 population for non-malignant tumors.

Distribution by Histology, WHO Grade, Diagnostic Confirmation, and Treatment Completeness

The distribution of reported tumors with histologically confirmed diagnosis from 2014 to 2018 is listed by histology and reported WHO grade in Table 13.

Table 13.

Distribution of Histologically-Confirmed Brain and Other Central Nervous System Tumors by WHO Grade Completeness, Treatment Information Completeness, and Histology, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014–2018

Histology Number of Newly Diagnosed Tumors Histologically Confirmed (%)a WHO Grade Completeness (%)b Assigned WHO Gradec Radiation Information Completenessd (%) Surgical Extent of Resection Information Completenesse(%)
Complete Incomplete Not Applicable WHO Grade I WHO Grade II WHO Grade III WHO Grade IV
Diffuse Astrocytic and Oligodendroglial Tumors 83,124 94.2% 90.6% 9.3% 0.1% 0.5% 11.2% 13.5% 74.9% 63.2% 99.6%
Diffuse astrocytoma 7,729 92.2% 84.5% 15.4% 0.1% 3.0% 70.4% 16.4% 10.2% 47.7% 99.4%
Anaplastic astrocytoma 7,175 99.3% 94.7% 5.3% 0.1% 0.1% 2.0% 89.6% 8.3% 73.8% 99.6%
Glioblastoma 61,699 93.5% 90.6% 9.3% 0.1% 0.2% 0.2% 0.7% 98.9% 65.4% 99.7%
Oligodendroglioma 3,706 96.8% 92.6% 7.4% 0.0% 1.5% 89.3% 6.6% 2.6% 37.6% 99.5%
Anaplastic oligodendroglioma 1,839 99.1% 94.5% 5.5% 0.0% 0.0% 3.2% 89.5% 7.3% 69.3% 99.5%
Oligoastrocytic tumors 976 98.6% 93.3% 6.7% 0.0% 1.1% 47.1% 42.5% 9.2% 60.0% 99.8%
Other Astrocytic Tumors 6,213 87.1% 86.6% 13.0% 0.4% 85.6% 10.6% 3.1% 0.7% 7.2% 99.6%
Pilocytic astrocytoma 5,303 88.8% 87.3% 12.3% 0.4% 94.4% 4.5% 0.8% 0.3% 5.5% 99.6%
Unique astrocytoma variants 910 77.3% 82.0% 17.9% 0.1% 22.9% 53.9% 19.9% 3.3% 17.2% 99.4%
Malignant 544 98.3% 85.1% 14.7% 0.2% 2.4% 68.2% 25.2% 4.2% 27.4% 99.3%
Non-Malignant 366 45.9% 72.0% 28.0% 0.0% 100.0% 0.0% 0.0% 0.0% 1.0% 100.0%
Ependymal Tumors 6,926 87.2% 87.0% 13.0% 0.1% 36.3% 47.9% 14.7% 1.0% 24.2% 99.8%
Malignant 3,967 93.5% 89.3% 10.6% 0.1% 2.6% 72.8% 23.2% 1.4% 36.0% 99.9%
Non-Malignant 2,959 78.9% 83.2% 16.7% 0.0% 93.9% 5.6% 0.3% 0.3% 7.9% 99.6%
Other Gliomas 8,575 39.3% 51.5% 47.4% 1.1% 12.6% 24.9% 21.1% 41.4% 27.2% 99.0%
Glioma malignant, NOS 8,471 38.6% 51.3% 47.5% 1.2% 12.7% 23.9% 20.9% 42.5% 27.1% 99.0%
Other neuroepithelial tumors 104 95.2% 56.6% 43.4% 0.0% 10.7% 55.4% 25.0% 8.9% 36.3% 99.0%
Neuronal and Mixed Neuronal-Glial Tumors 5,150 92.2% 64.3% 20.1% 15.6% 81.4% 14.6% 3.1% 0.9% 14.2% 94.4%
Malignant 978 98.4% 22.2% 6.7% 71.1% 28.6% 7.5% 51.6% 12.4% 56.5% 73.9%
Non-Malignant 4,172 90.8% 75.7% 23.8% 0.5% 84.4% 15.0% 0.3% 0.2% 4.3% 99.7%
Choroid Plexus Tumors 847 87.5% 76.8% 23.1% 0.1% 64.2% 19.2% 15.7% 0.9% 4.5% 99.7%
Malignant 131 97.7% 80.5% 18.8% 0.8% 6.7% 1.9% 86.5% 4.8% 13.9% 100.0%
Non-Malignant 716 85.6% 76.0% 24.0% 0.0% 76.9% 23.1% 0.0% 0.0% 2.7% 99.7%
Tumors of the Pineal Region 743 79.1% 42.2% 0.0% 57.8% -- -- -- -- 39.1% 76.2%
Malignant 422 98.1% 43.4% 0.0% 56.6% -- -- -- -- 63.2% 76.6%
Non-Malignant 321 54.2% 39.2% 0.0% 60.8% -- -- -- -- 7.7% 75.3%
Embryonal Tumors 3,252 98.2% 81.1% 18.2% 0.7% 0.4% 0.2% 1.4% 98.0% 61.4% 99.5%
Tumors of Cranial and Paraspinal Nerves 36,684 49.0% 39.3% 60.7% 0.0% 99.3% 0.4% 0.1% 0.1% 15.9% 99.4%
Nerve sheath tumors 36,647 49.0% 39.3% 60.7% 0.0% 99.3% 0.4% 0.1% 0.1% 15.9% 99.4%
Malignant 208 81.3% 22.5% 77.5% 0.0% 57.9% 15.8% 18.4% 7.9% 33.3% 99.4%
Non-Malignant 36,439 48.8% 39.5% 60.5% 0.0% 99.6% 0.3% 0.0% 0.1% 15.9% 99.4%
Other tumors of cranial and paraspinal nerves 37 40.5% 33.3% 66.7% 0.0% 100.0% 0.0% 0.0% 0.0% 2.9% 100.0%
Tumors of Meninges 174,568 38.7% 79.4% 20.5% 0.1% 79.8% 18.0% 2.0% 0.1% 6.6% 99.6%
Meningiomas 168,432 37.5% 81.3% 18.7% 0.0% 80.0% 18.3% 1.6% 0.1% 6.4% 99.6%
Malignant 1,699 78.8% 86.2% 13.8% 0.0% 19.1% 17.3% 62.4% 1.2% 36.6% 98.4%
Non-Malignant 166,733 37.1% 81.2% 18.8% 0.0% 81.4% 18.3% 0.2% 0.1% 6.1% 99.6%
Mesenchymal tumors 6,003 73.3% 54.2% 45.0% 0.8% 75.4% 11.5% 12.0% 1.1% 11.9% 99.5%
Malignant 769 96.0% 41.8% 54.1% 4.1% 11.6% 16.4% 65.6% 6.4% 48.0% 98.8%
Non-Malignant 5,234 69.9% 56.7% 43.1% 0.2% 85.0% 10.8% 4.0% 0.3% 6.4% 99.7%
Primary melanocytic lesions 133 87.2% 11.2% 82.8% 6.0% 61.5% 23.1% 0.0% 15.4% 40.0% 98.3%
Lymphomas and Hematopoietic Neoplasms 8,558 94.9% 2.2% 96.8% 1.0% 92.0% 1.1% 2.9% 4.0% 18.9% 99.0%
Lymphoma 8,478 94.9% 2.1% 97.1% 0.7% 91.9% 1.2% 2.9% 4.0% 18.6% 99.1%
Other hematopoietic neoplasms 80 92.5% 2.7% 68.9% 28.4% 100.0% 0.0% 0.0% 0.0% 49.2% 89.2%
Germ Cell Tumors 1,252 85.4% 7.6% 43.1% 49.3% 14.6% 6.3% 6.3% 72.9% 57.7% 90.3%
Malignant 1,085 87.6% 7.9% 40.3% 51.8% 4.7% 7.0% 7.0% 81.4% 65.2% 90.0%
Non-Malignant 167 70.7% 5.0% 66.4% 28.6% 100.0% 0.0% 0.0% 0.0% 7.7% 92.4%
Tumors of Sellar Region 77,084 45.5% 10.3% 0.4% 89.3% 100.0% 0.0% 0.0% 0.0% 2.8% 75.7%
Tumors of the pituitary 73,945 43.8% 7.6% 0.0% 92.4% 100.0% 0.0% 0.0% 0.0% 2.0% 75.2%
Malignant 125 64.0% 8.0% 0.0% 92.0% -- -- -- -- 18.6% 68.8%
Non-Malignant 73,820 43.8% 7.6% 0.0% 92.4% 100.0% 0.0% 0.0% 0.0% 2.0% 75.2%
Craniopharyngioma 3,139 83.8% 35.6% 4.3% 60.0% 100.0% 0.0% 0.0% 0.0% 21.3% 81.2%
Unclassified Tumors 18,797 17.1% 5.9% 85.7% 8.4% 63.4% 7.4% 6.9% 22.3% 3.7% 94.6%
Hemangioma 4,141 29.7% 3.1% 96.7% 0.2% 92.1% 7.9% 0.0% 0.0% 1.7% 99.1%
Neoplasm, unspecified 14,093 11.9% 7.4% 77.3% 15.3% 59.1% 9.1% 10.0% 21.8% 4.5% 90.6%
Malignant 6,692 8.1% 8.5% 86.3% 5.2% 15.6% 15.6% 22.2% 46.7% 8.3% 87.6%
Non-Malignant 7,401 15.5% 6.8% 73.1% 20.0% 89.2% 4.6% 1.5% 4.6% 2.6% 92.1%
All other 563 52.8% 9.7% 87.6% 2.7% 40.7% 0.0% 3.7% 55.6% 5.7% 98.7%
Malignant 83 97.6% 28.9% 66.3% 4.8% 27.3% 0.0% 4.5% 68.2% 33.8% 98.8%
Non-Malignant 480 45.0% 2.3% 95.8% 1.9% 100.0% 0.0% 0.0% 0.0% 0.3% 98.6%
TOTAL 431,773 54.5% 64.5% 20.1% 15.5% 39.7% 14.4% 8.1% 37.7% 19.5% 95.7%
Malignant 125,524 85.6% 79.4% 18.7% 1.9% 5.9% 13.5% 14.1% 66.5% 52.0% 99.0%
Non-Malignant 306,249 41.8% 52.2% 21.2% 26.6% 84.0% 15.6% 0.3% 0.1% 6.3% 92.9%

aHistologic confirmation includes tumors classified as diagnosis confirmed by positive histology, positive cytology, positive histology plus – positive immunophenotyping and/or positive genetic studies, or positive microscopic confirmation, method not specified.

bCompleteness is defined as having an assigned code that corresponds with a WHO grade as defined by the American Joint Commission on Cancer’s Collaborative Staging schema, SSDI Clinical Grade (2018+ only) or SSDI Pathological Grade (2018+ only).

cGrade as recorded in the American Joint Commission on Cancer’s Collaborative Staging schema, SSDI Clinical Grade (2018+ only) or SSDI Pathological Grade (2018+ only).

dRadiation is defined using a recoded variable based on NAACCR Item #1360 (http://datadictionary.naaccr.org/default.aspx?c=10#136). Completeness is defined as having a value other than ‘none’ or ‘unknown.’

eSurgery is defined using a recoded variable based on NAACCR Item #1290.

(http://datadictionary.naaccr.org/default.aspx?c=10#1290). Please see the SEER site-specific surgery codes for more information on coding for this variable. (https://seer.cancer.gov/archive/tools/SEER2003.surg.prim.site.codes.pdf). Completeness is defined as having a value other than ‘unknown.’

- Percentages are not presented when category is not applicable.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; CNS, central nervous system; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; WHO, World Health Organization

  • Overall, 45.5%% of tumors had complete WHO grade information, but there was substantial variation by histology.

  • The histologic types with the highest WHO grade completeness were oligoastrocytic tumors (91.6%), anaplastic oligodendroglioma (78.8%), and anaplastic astrocytoma (77.3%).

Distribution of Tumors in Puerto Rico

The distribution of brain and other CNS tumors diagnosed among residents of Puerto Rico by histology is shown in Supplementary Figure 3.

  • Overall, 38.6% of tumors were malignant and 61.4% were non-malignant.

  • Non-malignant meningioma was the most common tumor type (26.0%), followed by glioblastoma (17.7%).

Incidence Rates by Race and Histology

Incidence rates by race and histology are shown in Table 14.

Table 14.

Five-Year Total, Annual Average Totala, and Average Annual Age-Adjusted Incidence Ratesb with 95% Confidence Intervals for All Brain and Other Central Nervous System Tumors by Histology, and Racec, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014–2018

Histology White Black American Indian/Alaska Native Asian or Pacific Islander
5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI)
Diffuse Astrocytic and Oligodendroglial Tumors 74,287 14,857 4.93 (4.90–4.97) 5,277 1,055 2.45 (2.38–2.52) 411 82 2.08 (1.87–2.30) 2,232 446 2.22 (2.12–2.31)
Diffuse astrocytoma 6,635 1,327 0.50 (0.49–0.52) 619 124 0.28 (0.26–0.30) 53 11 0.24 (0.18–0.31) 308 62 0.30 (0.27–0.34)
Anaplastic astrocytoma 6,358 1,272 0.46 (0.45–0.48) 470 94 0.21 (0.20–0.24) 36 7 0.16 (0.11–0.22) 226 45 0.22 (0.19–0.25)
Glioblastoma 55,570 11,114 3.52 (3.49–3.55) 3,807 761 1.78 (1.72–1.84) 266 53 1.43 (1.25–1.62) 1,448 290 1.46 (1.38–1.53)
Oligodendroglioma 3,249 650 0.26 (0.25–0.27) 229 46 0.11 (0.09–0.12) 40 8 0.18 (0.13–0.25) 119 24 0.11 (0.09–0.13)
Anaplastic oligodendroglioma 1,602 320 0.12 (0.12–0.13) 101 20 0.05 (0.04–0.06) -- -- -- 94 19 0.09 (0.07–0.11)
Oligoastrocytic tumors 873 175 0.07 (0.06–0.07) 51 10 0.02 (0.02–0.03) -- -- -- 37 7 0.03 (0.02–0.05)
Other Astrocytic Tumors 4,987 997 0.44 (0.43–0.46) 751 150 0.32 (0.30–0.34) 56 11 0.21 (0.16–0.28) 290 58 0.31 (0.27–0.35)
Pilocytic astrocytoma 4,275 855 0.38 (0.37–0.39) 636 127 0.27 (0.25–0.29) -- -- -- 233 47 0.25 (0.22–0.28)
Unique astrocytoma variants 712 142 0.06 (0.06–0.07) 115 23 0.05 (0.04–0.06) -- -- -- 57 11 0.06 (0.04–0.08)
Malignant 445 89 0.04 (0.03–0.04) 50 10 0.02 (0.02–0.03) -- -- -- 34 7 0.03 (0.02–0.05)
Non-Malignant 267 53 0.02 (0.02–0.03) 65 13 0.03 (0.02–0.04) -- -- -- 23 5 0.03 (0.02–0.04)
Ependymal Tumors 5,892 1,178 0.46 (0.44–0.47) 593 119 0.26 (0.24–0.29) 50 10 0.22 (0.16–0.29) 265 53 0.26 (0.23–0.29)
Malignant 3,303 661 0.26 (0.25–0.27) 389 78 0.17 (0.15–0.19) 21 4 0.09 (0.05–0.14) 173 35 0.17 (0.15–0.20)
Non-Malignant 2,589 518 0.20 (0.19–0.20) 204 41 0.09 (0.08–0.11) 29 6 0.13 (0.09–0.19) 92 18 0.09 (0.07–0.11)
Other Gliomas 7,054 1,411 0.55 (0.54–0.57) 942 188 0.42 (0.40–0.45) 58 12 0.26 (0.19–0.33) 368 74 0.38 (0.34–0.43)
Glioma malignant, NOS 6,974 1,395 0.55 (0.53–0.56) -- -- -- -- -- -- -- -- --
Other neuroepithelial tumors 80 16 0.01 (0.01-0.01) -- -- -- -- -- -- -- -- --
Neuronal and Mixed Neuronal-Glial Tumors 4,200 840 0.35 (0.34–0.36) 547 109 0.24 (0.22–0.26) 41 8 0.17 (0.12–0.23) 268 54 0.27 (0.24–0.30)
Malignant 829 166 0.06 (0.06–0.07) 72 14 0.03 (0.03–0.04) -- -- -- 53 11 0.05 (0.04–0.07)
Non-Malignant 3,371 674 0.29 (0.28–0.30) 475 95 0.20 (0.19–0.22) -- -- -- 215 43 0.21 (0.19–0.25)
Choroid Plexus Tumors 697 139 0.06 (0.05–0.06) 85 17 0.04 (0.03–0.04) -- -- -- 35 7 0.04 (0.03–0.05)
Malignant 99 20 0.01 (0.01-0.01) 19 4 0.01 (0.00–0.01) -- -- -- -- -- --
Non-Malignant 598 120 0.05 (0.05-0.05) 66 13 0.03 (0.02–0.04) -- -- -- -- -- --
Tumors of the Pineal Region 576 115 0.05 (0.04–0.05) 113 23 0.05 (0.04–0.06) -- -- -- 34 7 0.03 (0.02–0.05)
Malignant 305 61 0.02 (0.02–0.03) 82 16 0.03 (0.03–0.04) -- -- -- -- -- --
Non-Malignant 271 54 0.02 (0.02-0.02) 31 6 0.01 (0.01–0.02) -- -- -- -- -- --
Embryonal Tumors 2,568 514 0.23 (0.22–0.24) 377 75 0.16 (0.14–0.17) 39 8 0.15 (0.11–0.21) 194 39 0.21 (0.18–0.24)
Tumors of Cranial and Paraspinal Nerves 31,140 6,228 2.16 (2.13–2.18) 2,280 456 1.05 (1.00–1.09) 237 47 1.13 (0.98–1.29) 2,181 436 2.09 (2.00–2.18)
Nerve sheath tumors 31,108 6,222 2.16 (2.13–2.18) -- -- -- -- -- -- -- -- --
Malignant 169 34 0.01 (0.01-0.01) -- -- -- -- -- -- -- -- --
Non-Malignant 30,939 6,188 2.14 (2.12–2.17) -- -- -- -- -- -- -- -- --
Other tumors of cranial and paraspinal nerves 32 6 0.00 (0.00-0.00) -- -- -- -- -- -- -- -- --
Tumors of Meninges 141,220 28,244 9.27 (9.22–9.32) 22,197 4,439 11.00 (10.85–11.15) 1,067 213 6.01 (5.64–6.41) 7,867 1,573 8.16 (7.98–8.35)
Meningiomas 136,178 27,236 8.90 (8.85–8.95) 21,542 4,308 10.70 (10.56–10.85) 1,023 205 5.81 (5.44–6.20) 7,570 1,514 7.87 (7.69–8.05)
Malignant 1,326 265 0.09 (0.08–0.09) 247 49 0.12 (0.11–0.14) -- -- -- 90 18 0.09 (0.08–0.12)
Non-Malignant 134,852 26,970 8.81 (8.77–8.86) 21,295 4,259 10.58 (10.43–10.73) -- -- -- 7,480 1,496 7.78 (7.60–7.96)
Mesenchymal tumors 4,927 985 0.37 (0.35–0.38) -- -- -- -- -- -- -- -- --
Malignant 625 125 0.05 (0.04–0.05) -- -- -- -- -- -- -- -- --
Non-Malignant 4,302 860 0.32 (0.31–0.33) -- -- -- -- -- -- -- -- --
Primary melanocytic lesions 115 23 0.01 (0.01-0.01) -- -- -- -- -- -- -- -- --
Malignant 77 15 0.01 (0.00–0.01) -- -- -- -- -- -- -- -- --
Non-Malignant 38 8 0.00 (0.00-0.00) -- -- -- -- -- -- -- -- --
Lymphomas and Hematopoietic Neoplasms 7,172 1,434 0.46 (0.45–0.47) 701 140 0.33 (0.31–0.36) 53 11 0.29 (0.21–0.38) 505 101 0.52 (0.47–0.56)
Lymphoma 7,112 1,422 0.46 (0.44–0.47) -- -- -- -- -- -- -- -- --
Other hematopoietic neoplasms 60 12 0.00 (0.00–0.01) -- -- -- -- -- -- -- -- --
Germ Cell Tumors 958 192 0.08 (0.08–0.09) 133 27 0.06 (0.05–0.07) -- -- -- 123 25 0.13 (0.11–0.15)
Malignant 831 166 0.07 (0.07–0.08) 113 23 0.05 (0.04–0.06) -- -- -- -- -- --
Non-Malignant 127 25 0.01 (0.01-0.01) 20 4 0.01 (0.01-0.01) -- -- -- -- -- --
Tumors of Sellar Region 55,182 11,036 4.11 (4.08–4.15) 15,328 3,066 7.19 (7.08–7.31) 669 134 3.20 (2.96–3.47) 4,262 852 4.10 (3.97–4.22)
Tumors of the pituitary 52,913 10,583 3.94 (3.90–3.97) 14,701 2,940 6.91 (6.80–7.03) 644 129 3.09 (2.84–3.35) 4,099 820 3.93 (3.81–4.06)
Malignant 88 18 0.01 (0.01-0.01) 28 6 0.01 (0.01–0.02) -- -- -- -- -- --
Non-Malignant 52,825 10,565 3.93 (3.90–3.97) 14,673 2,935 6.90 (6.79–7.02) -- -- -- -- -- --
Craniopharyngioma 2,269 454 0.18 (0.17–0.18) 627 125 0.28 (0.26–0.30) 25 5 0.12 (0.07–0.17) 163 33 0.16 (0.14–0.19)
Unclassified Tumors 15,553 3,111 1.08 (1.06–1.09) 2,042 408 1.01 (0.97–1.06) 140 28 0.78 (0.65–0.93) 770 154 0.82 (0.76–0.88)
Hemangioma 3,391 678 0.26 (0.25–0.27) 434 87 0.20 (0.18–0.22) -- -- -- 220 44
Neoplasm, unspecified 11,721 2,344 0.78 (0.77–0.80) 1,534 307 0.78 (0.74–0.82) 101 20 0.60 (0.48–0.74) 523 105 0.57 (0.52–0.62)
Malignant 5,757 1,151 0.37 (0.36–0.38) 571 114 0.30 (0.28–0.33) 49 10 0.30 (0.21–0.40) 225 45 0.26 (0.22–0.29)
Non-Malignant 5,964 1,193 0.42 (0.41–0.43) 963 193 0.48 (0.45–0.51) 52 10 0.30 (0.22–0.40) 298 60 0.31 (0.28–0.35)
All other 441 88 0.04 (0.03–0.04) 74 15 0.03 (0.03–0.04) -- -- -- 27 5 0.03 (0.02–0.04)
Malignant 61 12 0.01 (0.00–0.01) -- -- -- -- -- -- -- -- --
Non-Malignant 380 76 0.03 (0.03-0.03) -- -- -- -- -- -- -- -- --
TOTAL d 351,486 70,297 24.24 (24.16–24.32) 51,366 10,273 24.58 (24.36–24.80) 2,848 570 14.62 (14.06–15.20) 19,394 3,879 19.52 (19.24–19.80)
Malignant 109,206 21,841 7.55 (7.51–7.60) 9,622 1,924 4.44 (4.35–4.53) 720 144 3.54 (3.27–3.82) 4,314 863 4.40 (4.27–4.53)
Non-Malignant 242,280 48,456 16.69 (16.62–16.76) 41,744 8,349 20.14 (19.94–20.34) 2,128 426 11.08 (10.59–11.59) 15,080 3,016 15.12 (14.88–15.37)

aAnnual average cases are calculated by dividing the five- year total by five.

bRates are per 100,000 and are age-adjusted to the 2000 US standard population.

cIndividuals with unknown race were excluded (N = 6,679).

dRefers to all brain tumors including histologies not presented in this table.

- Counts and rates are not presented when fewer than 16 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval; NOS, not otherwise specified

  • Incidence rates for all primary brain and other CNS tumors combined were lower for race groups AIAN (14.62 per 100,000 population) compared to Whites (24.24 per 100,000 population), Blacks (24.58 per 100,000 population), and API (19.52 per 100,000 population).

  • Incidence rates for non-malignant primary brain and other CNS tumors were highest in Blacks (20.14 per 100,000) compared to Whites (16.69 per 100,000), AIAN (11.08 per 100,000), and API (15.12 per 100,000).

  • Incidence rates for malignant primary brain and other CNS tumors were highest in Whites (7.55 per 100,000) compared to Blacks (4.44 per 100,000), AIAN (3.54 per 100,000), and API (4.4 per 100,000).

  • Incidence rates of meningioma, tumors of the pituitary, and craniopharyngioma observed for Blacks exceeded those observed for Whites, AIAN, and API.

  • The average annual incidence rate for tumors of the cranial and paraspinal nerves in the API group (2.09 per 100,000) was the highest for all racial groups.

Incidence rate ratios (White:Black) for selected histologies are shown in Figure 14A.

Fig. 14.

Fig. 14

Incidence Rate Ratios by Race (A- Whites:Blacks and B- Whites:Asian Or Pacific Islanders [API]) for Selected Primary Brain and Other CNS Tumor Histologies, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

  • Incidence rates for glioblastoma (p<0.0001), all other astrocytoma (p<0.0001), and nerve sheath tumors (p<0.0001) were approximately 2 times greater in Whites than in Blacks.

  • Incidence of oligodendroglioma was 2.23 times greater in Whites than in Blacks (p<0.0001).

  • Incidence rates for pilocytic astrocytoma (p<0.0001), ependymal tumors (p<0.0001), embryonal tumors (p=0), lymphoma (p=0), and germ cell tumors (p<0.0001) were also higher among Whites than Blacks.

  • Incidence rates for non-malignant (p<0.0001) and malignant (p<0.0001) meningioma and tumors of the pituitary (p<0.0001) were higher among Blacks than Whites.

Incidence rate ratios (White:API) for selected histologies are shown in Figure 14B.

  • Incidence rates for glioblastoma (p<0.0001) were 2.4 times greater in Whites than in API.

  • Incidence of nerve sheath tumors (p=0.0173) was 6% higher in Whites than in API.

Incidence Rates by Hispanic Ethnicity and Histology

Incidence rates by Hispanic ethnicity and histology are shown in Table 15. Incidence rate ratios by Hispanic ethnicity and histology are shown in Supplementary Figure 4.

Table 15.

Five-Year Total, Annual Average Totala, and Average Annual Age-Adjusted Incidence Ratesb with 95% Confidence Intervals for All Brain and Other Central Nervous System Tumors by Histology, Hispanic Ethnicityc, and Race, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014–2018

Histology Non-Hispanic All Hispanic White Hispanic Black Hispanic
5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI)
Diffuse Astrocytic and Oligodendroglial Tumors 75,728 15,146 4.69 (4.66–4.73) 7,396 1,479 3.43 (3.35–3.51) 6,803 1,361 3.47 (3.38–3.56) 190 38 1.93 (1.64–2.25)
Diffuse astrocytoma 6,864 1,373 0.49 (0.48–0.51) 865 173 0.34 (0.31–0.36) 777 155 0.34 (0.31–0.36) 23 5 0.15 (0.09–0.24)
Anaplastic astrocytoma 6,490 1,298 0.45 (0.43–0.46) 685 137 0.28 (0.26–0.30) 622 124 0.28 (0.26–0.30) 23 5 0.19 (0.12–0.30)
Glioblastoma 56,647 11,329 3.33 (3.30–3.36) 5,052 1,010 2.51 (2.44–2.58) 4,669 934 2.54 (2.47–2.62) 135 27 1.51 (1.25–1.81)
Oligodendroglioma 3,251 650 0.25 (0.24–0.26) 455 91 0.17 (0.15–0.19) 420 84 0.17 (0.16–0.19) -- -- --
Anaplastic oligodendroglioma 1,604 321 0.11 (0.11–0.12) 235 47 0.09 (0.08–0.11) 218 44 0.10 (0.08–0.11) -- -- --
Oligoastrocytic tumors 872 174 0.06 (0.06–0.07) 104 21 0.04 (0.03–0.05) 97 19 0.04 (0.03–0.05) -- -- --
Other Astrocytic Tumors 5,194 1,039 0.46 (0.44–0.47) 1,019 204 0.30 (0.28–0.32) 905 181 0.30 (0.28–0.32) 28 6 0.15 (0.10–0.23)
Pilocytic astrocytoma 4,455 891 0.39 (0.38–0.40) 848 170 0.25 (0.23–0.27) 750 150 0.25 (0.23–0.27) -- -- --
Unique astrocytoma variants 739 148 0.06 (0.06–0.07) 171 34 0.06 (0.05–0.06) 155 31 0.06 (0.05–0.07) -- -- --
Malignant 447 89 0.04 (0.03–0.04) 97 19 0.03 (0.03–0.04) 90 18 0.03 (0.03–0.04) -- -- --
Non-Malignant 292 58 0.03 (0.02–0.03) 74 15 0.02 (0.02–0.03) 65 13 0.02 (0.02–0.03) -- -- --
Ependymal Tumors 5,921 1,184 0.43 (0.42–0.45) 1,005 201 0.37 (0.35–0.39) 904 181 0.37 (0.34–0.39) 21 4 0.15 (0.09–0.24)
Malignant 3,324 665 0.25 (0.24–0.26) 643 129 0.23 (0.21–0.25) 589 118 0.23 (0.21–0.25) -- -- --
Non-Malignant 2,597 519 0.18 (0.18–0.19) 362 72 0.14 (0.12–0.16) 315 63 0.13 (0.12–0.15) -- -- --
Other Gliomas 7,441 1,488 0.56 (0.55–0.58) 1,134 227 0.41 (0.39–0.44) 1,006 201 0.41 (0.38–0.44) 40 8 0.34 (0.23–0.49)
Glioma malignant, NOS 7,357 1,471 0.56 (0.54–0.57) 1,114 223 0.41 (0.38–0.43) 989 198 0.40 (0.38–0.43) 40 8 0.34 (0.23–0.49)
Other neuroepithelial tumors 84 17 0.01 (0.01-0.01) 20 4 0.01 (0.00–0.01) 17 3 0.01 (0.00–0.01) -- -- --
Neuronal and Mixed Neuronal-Glial Tumors 4,425 885 0.35 (0.34–0.36) 725 145 0.24 (0.22–0.25) 644 129 0.23 (0.22–0.25) 23 5 0.12 (0.08–0.19)
Malignant 852 170 0.06 (0.05–0.06) 126 25 0.05 (0.04–0.06) 113 23 0.05 (0.04–0.06) -- -- --
Non-Malignant 3,573 715 0.29 (0.28–0.30) 599 120 0.19 (0.17–0.20) 531 106 0.19 (0.17–0.20) -- -- --
Choroid Plexus Tumors 692 138 0.06 (0.05–0.06) 155 31 0.05 (0.04–0.06) 143 29 0.05 (0.04–0.06) -- -- --
Malignant 106 21 0.01 (0.01-0.01) 25 5 0.01 (0.00–0.01) 24 5 0.01 (0.01-0.01) -- -- --
Non-Malignant 586 117 0.05 (0.04–0.05) 130 26 0.04 (0.04–0.05) 119 24 0.04 (0.04–0.05) -- -- --
Tumors of the Pineal Region 642 128 0.05 (0.05-0.05) 101 20 0.03 (0.03–0.04) 93 19 0.04 (0.03–0.04) -- -- --
Malignant 353 71 0.03 (0.03-0.03) 69 14 0.02 (0.02–0.03) 64 13 0.02 (0.02–0.03) -- -- --
Non-Malignant 289 58 0.02 (0.02-0.02) 32 6 0.01 (0.01–0.02) 29 6 0.01 (0.01–0.02) -- -- --
Embryonal Tumors 2,546 509 0.23 (0.22–0.24) 706 141 0.21 (0.19–0.22) 638 128 0.21 (0.19–0.23) 20 4 0.09 (0.06–0.15)
Tumors of Cranial and Paraspinal Nerves 33,334 6,667 2.16 (2.14–2.18) 3,350 670 1.42 (1.37–1.48) 3,014 603 1.42 (1.36–1.47) 80 16 0.71 (0.55–0.90)
Nerve sheath tumors 33,304 6,661 2.16 (2.13–2.18) -- -- -- -- -- -- 80 16 0.71 (0.55–0.90)
Malignant 169 34 0.01 (0.01-0.01) -- -- -- -- -- -- -- -- --
Non-Malignant 33,135 6,627 2.15 (2.12–2.17) -- -- -- -- -- -- 80 16 0.71 (0.55–0.90)
Other tumors of cranial and paraspinal nerves 30 6 0.00 (0.00-0.00) -- -- -- -- -- -- -- -- --
Tumors of Meninges 157,188 31,438 9.62 (9.57–9.66) 17,380 3,476 8.86 (8.72–8.99) 15,801 3,160 8.82 (8.67–8.96) 475 95 5.50 (4.98–6.06)
Meningiomas 151,893 30,379 9.25 (9.20–9.29) 16,539 3,308 8.53 (8.39–8.66) 15,038 3,008 8.48 (8.34–8.63) 463 93 5.41 (4.89–5.96)
Malignant 1,488 298 0.09 (0.09-0.09) 211 42 0.11 (0.09–0.12) 198 40 0.11 (0.09–0.13) -- -- --
Non-Malignant 150,405 30,081 9.16 (9.11–9.20) 16,328 3,266 8.42 (8.28–8.55) 14,840 2,968 8.37 (8.23–8.52) 457 91 5.33 (4.82–5.88)
Mesenchymal tumors 5,175 1,035 0.36 (0.35–0.37) -- -- -- -- -- -- -- -- --
Malignant 657 131 0.05 (0.04–0.05) -- -- -- -- -- -- -- -- --
Non-Malignant 4,518 904 0.32 (0.31–0.33) -- -- -- -- -- -- -- -- --
Primary melanocytic lesions 120 24 0.01 (0.01-0.01) -- -- -- -- -- -- -- -- --
Malignant 81 16 0.01 (0.00–0.01) -- -- -- -- -- -- -- -- --
Non-Malignant 39 8 0.00 (0.00-0.00) -- -- -- -- -- -- -- -- --
Lymphomas and Hematopoietic Neoplasms 7,518 1,504 0.45 (0.44–0.46) 1,040 208 0.52 (0.49–0.56) 974 195 0.54 (0.50–0.58) 19 4 0.19 (0.11–0.30)
Lymphoma 7,449 1,490 0.45 (0.44–0.46) -- -- -- -- -- -- 19 4 0.19 (0.11–0.30)
Other hematopoietic neoplasms 69 14 0.00 (0.00–0.01) -- -- -- -- -- -- -- -- --
Germ Cell Tumors 960 192 0.08 (0.08–0.09) 292 58 0.09 (0.08–0.10) 262 52 0.09 (0.08–0.10) -- -- --
Malignant 826 165 0.07 (0.07–0.08) 259 52 0.08 (0.07–0.09) 232 46 0.08 (0.07–0.09) -- -- --
Non-Malignant 134 27 0.01 (0.01-0.01) 33 7 0.01 (0.01–0.02) 30 6 0.01 (0.01–0.02) -- -- --
Tumors of Sellar Region 64,407 12,881 4.47 (4.44–4.51) 12,677 2,535 5.10 (5.01–5.20) 11,317 2,263 5.05 (4.96–5.15) 406 81 3.37 (3.02–3.74)
Tumors of the pituitary 61,761 12,352 4.28 (4.24–4.31) 12,184 2,437 4.93 (4.83–5.02) 10,873 2,175 4.87 (4.78–4.97) 388 78 3.26 (2.91–3.63)
Malignant 102 20 0.01 (0.01-0.01) 23 5 0.01 (0.01–0.02) 19 4 0.01 (0.01–0.02) -- -- --
Non-Malignant 61,659 12,332 4.27 (4.24–4.31) 12,161 2,432 4.91 (4.82–5.01) 10,854 2,171 4.86 (4.77–4.96) 388 78 3.26 (2.91–3.63)
Craniopharyngioma 2,646 529 0.20 (0.19–0.20) 493 99 0.18 (0.16–0.20) 444 89 0.18 (0.16–0.20) 18 4 0.11 (0.06–0.18)
Unclassified Tumors 16,472 3,294 1.07 (1.05–1.09) 2,325 465 1.08 (1.03–1.13) 2,109 422 1.08 (1.03–1.13) 61 12 0.60 (0.44–0.79)
Hemangioma 3,483 697 0.25 (0.24–0.26) 658 132 0.26 (0.24–0.28) 604 121 0.26 (0.24–0.28) -- -- --
Neoplasm, unspecified 12,533 2,507 0.79 (0.77–0.80) 1,560 312 0.78 (0.74–0.83) 1,409 282 0.78 (0.74–0.83) 38 8 0.44 (0.29–0.61)
Malignant 6,085 1,217 0.36 (0.35–0.37) 607 121 0.35 (0.32–0.38) 562 112 0.35 (0.32–0.38) -- -- --
Non-Malignant 6,448 1,290 0.42 (0.41–0.43) 953 191 0.44 (0.41–0.47) 847 169 0.43 (0.40–0.46) -- -- --
All other 456 91 0.03 (0.03–0.04) 107 21 0.04 (0.03–0.05) 96 19 0.04 (0.03–0.05) -- -- --
Malignant 67 13 0.01 (0.00–0.01) 16 3 0.00 (0.00–0.01) -- -- -- -- -- --
Non-Malignant 389 78 0.03 (0.03-0.03) 91 18 0.04 (0.03–0.04) -- -- -- -- -- --
TOTAL d 382,468 76,494 24.68 (24.60–24.77) 49,305 9,861 22.12 (21.91–22.32) 44,613 8,923 22.07 (21.86–22.29) 1,377 275 13.24 (12.48–14.04)
Malignant 112,174 22,435 7.31 (7.26–7.35) 13,350 2,670 5.77 (5.66–5.87) 12,213 2,443 5.83 (5.72–5.94) 337 67 3.02 (2.67–3.40)
Non-Malignant 270,294 54,059 17.38 (17.31–17.45) 35,955 7,191 16.35 (16.17–16.53) 32,400 6,480 16.24 (16.06–16.43) 1,040 208 10.22 (9.55–10.93)

aAnnual average cases are calculated by dividing the five-ear total by five.

bRates are per 100,000 and are age-adjusted to the 2000 US standard population.

cHispanic ethnicity is not mutually exclusive of race; Classified using the North American Association of Central Cancer Registries Hispanic Identification Algorithm, version 2 (NHIA v2).

dRefers to all brain tumors including histologies not presented in this table

- Counts and rates are not presented when fewer than 16 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval; NOS, not otherwise specified.

  • The overall incidence rate for primary brain and other CNS tumors was 22.12 per 100,000 population among Hispanics and 24.68 per 100,000 population among non-Hispanics.

  • Tumors of the pituitary, lymphoma and other hematopoietic neoplasms were the only histologies that were higher in Hispanics than in non-Hispanics.

While there are several histologies where significant differences in incidence were observed by race and/or ethnicity, in most cases the actual difference in incidence rates is small and may not be biologically significant.

Incidence and Distribution of Primary Brain and Other CNS Tumors in Childhood and Adolescence by Site, Histology, Sex, and Age at Diagnosis

Distribution of Tumors by Site and Histology in Children and Adolescents (Age 0–19 Years)

Brain and other CNS tumors are the most common form of solid tumors in children. and account for the majority of cancer mortality in this age-group. About 6% of the reported brain and other CNS tumors during 2014–2018 occurred in children and adolescents age 0–19 years. The distribution of brain and other CNS tumors for children and adolescents age 0–19 years by site is shown in Figure 15A.

Fig. 15.

Fig. 15.

Distributiona in Children and Adolescents (Age 0–19 Years) of All Primary Brain and CNS Tumors (Five-Year Total=25,485; Annual Average Cases=5,097) by A) Site and B) Histology, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

  • The largest percentages of tumors in childhood and adolescence were located in the pituitary and craniopharyngeal duct (17.7%).

  • Frontal, temporal, parietal, and occipital lobes of the brain accounted for 5.9%, 6.6%, 2.5%, and 1.1% of all brain and other CNS tumors in childhood and adolescence, respectively.

  • Cerebrum, ventricle, brain stem, and cerebellum tumors accounted for 5.4%, 5.2%, 10.0%, and 14.3% of all brain and other CNS tumors in childhood and adolescence, respectively.

  • The cranial nerves and the spinal cord and cauda equina accounted for 7.3% and 5.2% of all brain and other CNS tumors in childhood and adolescence, respectively.

Figure 15B presents the most common brain and other CNS histologies in children and adolescents age 0–19 years.

  • For children and adolescents age 0–19 years, pilocytic astrocytoma, other gliomas, and embryonal tumors accounted for 15.2%, 12.2%, and 9.4%, respectively.

  • Tumors of the pituitary were the most common nonglial and predominantly non-malignant histology and accounted for 14.3% of all tumors in this age group.

  • Gliomas accounted for approximately 45% of tumors in children and adolescents age 0–19 years.

  • Medulloblastoma accounted for 68.9% of all embryonal tumors in this age group.

Distribution of Tumors by Site and Histology in Children (Age 0–14 Years)

Approximately 4% of all reported tumors occurred in children age 0–14 years. The distribution of brain and other CNS tumors for children age 0–14 years by site is shown in Figure 16A.

Fig. 16.

Fig. 16.

Distributiona in Children and Adolescents (Age 0–14 Years) of All Primary Brain and CNS Tumors (Five-Year Total=17,802; Annual Average Cases=3,560) by A) Site and B) Histology, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

  • Tumors of the cerebellum (17.1%) comprised the largest proportion of tumors followed by other brain (13.1%), and brain stem (12.3%).

Figure 16B presents the most common brain and other CNS histologies in children age 0–14 years.

  • For children age 0–14 years, pilocytic astrocytoma, glioma malignant, NOS, and embryonal tumors accounted for 18.3%, %, and 12.3%, respectively.

  • Gliomas accounted for 51.3% of tumors in children age 0–14 years.

  • Of embryonal tumors, medulloblastoma, atypical teratoid rhabdoid tumor (ATRT), and primitive neuroectodermal tumor (PNET) accounted for 67.7%, 17.1%, and 8.5%, respectively.

Distribution of Tumors by Site and Histology in Adolescents (Age 15–19 Years)

About 2% of the reported brain and other CNS tumors during 2014–2018 occurred in adolescents age 15–19 years for a total of 7,724 tumors diagnosed between 2014 and 2018 (Table 8). The distribution of these tumors by site is shown in Figure 17A.

Table 8.

Five-Year Total, Annual Average Totala, and Average Annual Age-Adjusted Incidence Ratesb with 95% Confidence Intervals for Children and Adolescents (Age 0–19 Years), Brain and Other Central Nervous System Tumors by Histology, and Age Group at Diagnosis, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014–2018

Histology 0–19 Years 0–4 Years 5–9 Years 10–14 Years 15–19 Years
5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI)
Diffuse Astrocytic and Oligodendroglial Tumors 2,248 450 0.55 (0.53–0.57) 445 89 0.45 (0.41–0.49) 467 93 0.46 (0.42–0.50) 602 120 0.58 (0.54–0.63) 734 147 0.70 (0.65–0.75)
Diffuse astrocytoma 946 189 0.23 (0.22–0.25) 246 49 0.25 (0.22–0.28) 183 37 0.18 (0.15–0.21) 256 51 0.25 (0.22–0.28) 261 52 0.25 (0.22–0.28)
Anaplastic astrocytoma 365 73 0.09 (0.08–0.10) 60 12 0.06 (0.05–0.08) 89 18 0.09 (0.07–0.11) 101 20 0.10 (0.08–0.12) 115 23 0.11 (0.09–0.13)
Glioblastoma 700 140 0.17 (0.16–0.18) 104 21 0.11 (0.09–0.13) 161 32 0.16 (0.14–0.19) 196 39 0.19 (0.16–0.22) 239 48 0.23 (0.20–0.26)
Oligodendroglioma 164 33 0.04 (0.03–0.05) 20 4 0.02 (0.01–0.03) 21 4 0.02 (0.01–0.03) 37 7 0.04 (0.03–0.05) 86 17 0.08 (0.07–0.10)
Anaplastic oligodendroglioma 22 4 0.01 (0.00–0.01) -- -- -- -- -- -- -- -- -- -- -- --
Oligoastrocytic tumors 51 10 0.01 (0.01–0.02) -- -- -- -- -- -- -- -- -- -- -- --
Other Astrocytic Tumors 4,371 874 1.07 (1.04–1.10) 1,331 266 1.34 (1.27–1.41) 1,231 246 1.21 (1.14–1.28) 1,064 213 1.03 (0.97–1.09) 745 149 0.71 (0.66–0.76)
Pilocytic astrocytoma 3,877 775 0.95 (0.92–0.98) 1,227 245 1.23 (1.17–1.31) 1,109 222 1.09 (1.02–1.15) 914 183 0.88 (0.83–0.94) 627 125 0.60 (0.55–0.64)
Unique astrocytoma variants 494 99 0.12 (0.11–0.13) 104 21 0.11 (0.09–0.13) 122 24 0.12 (0.10–0.14) 150 30 0.15 (0.12–0.17) 118 24 0.11 (0.09–0.13)
Malignant 227 45 0.06 (0.05–0.06) -- -- -- 46 9 0.05 (0.03–0.06) 88 18 0.09 (0.07–0.11) 81 16 0.08 (0.06–0.10)
Non-Malignant 267 53 0.07 (0.06–0.07) -- -- -- 76 15 0.07 (0.06–0.09) 62 12 0.06 (0.05–0.08) 37 7 0.04 (0.02–0.05)
Ependymal Tumors 1,176 235 0.29 (0.27–0.30) 456 91 0.46 (0.42–0.50) 242 48 0.24 (0.21–0.27) 243 49 0.23 (0.21–0.27) 235 47 0.22 (0.20–0.25)
Malignant 985 197 0.24 (0.23–0.26) 439 88 0.44 (0.40–0.48) 211 42 0.21 (0.18–0.24) 185 37 0.18 (0.15–0.21) 150 30 0.14 (0.12–0.17)
Non-Malignant 191 38 0.05 (0.04–0.05) 17 3 0.02 (0.01–0.03) 31 6 0.03 (0.02–0.04) 58 12 0.06 (0.04–0.07) 85 17 0.08 (0.06–0.10)
Other Gliomas 3,133 627 0.77 (0.74–0.79) 914 183 0.92 (0.86–0.98) 1,002 200 0.98 (0.92–1.05) 742 148 0.72 (0.67–0.77) 475 95 0.45 (0.41–0.49)
Glioma malignant, NOS 3,093 619 0.75 (0.73–0.78) -- -- -- -- -- -- -- -- -- -- -- --
Other neuroepithelial tumors 34 7 0.01 (0.01-0.01) -- -- -- -- -- -- -- -- -- -- -- --
Neuronal and Mixed Neuronal-Glial Tumors 2,012 402 0.49 (0.47–0.51) 373 75 0.38 (0.34–0.42) 375 75 0.37 (0.33–0.41) 623 125 0.60 (0.55–0.65) 641 128 0.61 (0.56–0.66)
Malignant 140 28 0.03 (0.03–0.04) 39 8 0.04 (0.03–0.05) 24 5 0.02 (0.02–0.04) 37 7 0.04 (0.03–0.05) 40 8 0.04 (0.03–0.05)
Non-Malignant 1,872 374 0.46 (0.44–0.48) 334 67 0.34 (0.30–0.38) 351 70 0.35 (0.31–0.38) 586 117 0.57 (0.52–0.61) 601 120 0.57 (0.53–0.62)
Choroid Plexus Tumors 416 83 0.10 (0.09–0.11) 261 52 0.26 (0.23–0.30) 51 10 0.05 (0.04–0.07) 57 11 0.05 (0.04–0.07) 47 9 0.04 (0.03–0.06)
Malignant 104 21 0.03 (0.02–0.03) 83 17 0.08 (0.07–0.10) -- -- -- -- -- -- -- -- --
Non-Malignant 312 62 0.08 (0.07–0.08) 178 36 0.18 (0.15–0.21) -- -- -- -- -- -- -- -- --
Tumors of the Pineal Region 213 43 0.05 (0.05–0.06) 58 12 0.06 (0.04–0.08) 51 10 0.05 (0.04–0.07) 38 8 0.04 (0.03–0.05) 66 13 0.06 (0.05–0.08)
Malignant 176 35 0.04 (0.04–0.05) -- -- -- -- -- -- -- -- -- 41 8 0.04 (0.03–0.05)
Non-Malignant 37 7 0.01 (0.01-0.01) -- -- -- -- -- -- -- -- -- 17 3 0.02 (0.01–0.03)
Embryonal Tumors 2,397 479 0.59 (0.56–0.61) 1,065 213 1.07 (1.01–1.14) 731 146 0.72 (0.67–0.77) 400 80 0.39 (0.35–0.43) 201 40 0.19 (0.17–0.22)
Medulloblastoma 1,652 330 0.41 (0.39–0.43) 505 101 0.51 (0.46–0.55) 636 127 0.63 (0.58–0.68) 345 69 0.33 (0.30–0.37) 166 33 0.16 (0.13–0.18)
Primitive neuroectodermal tumors 208 42 0.05 (0.04–0.06) 107 21 0.11 (0.09–0.13) 45 9 0.04 (0.03–0.06) 35 7 0.03 (0.02–0.05) 21 4 0.02 (0.01–0.03)
Atypical teratoid/rhabdoid tumor 382 76 0.09 (0.08–0.10) 332 66 0.34 (0.30–0.37) -- -- -- -- -- -- -- -- --
All other embryonal 155 31 0.04 (0.03–0.04) 121 24 0.12 (0.10–0.15) -- -- -- -- -- -- -- -- --
Tumors of Cranial and Paraspinal Nerves 1,202 240 0.29 (0.28–0.31) 255 51 0.26 (0.23–0.29) 206 41 0.20 (0.18–0.23) 287 57 0.28 (0.25–0.31) 454 91 0.43 (0.39–0.47)
Nerve sheath tumors -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Other tumors of cranial and paraspinal nerves -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Tumors of Meninges 1,291 258 0.31 (0.30–0.33) 251 50 0.25 (0.22–0.29) 156 31 0.15 (0.13–0.18) 291 58 0.28 (0.25–0.32) 593 119 0.56 (0.52–0.61)
Meningiomas 667 133 0.16 (0.15–0.17) -- -- -- -- -- -- 163 33 0.16 (0.13–0.18) 356 71 0.34 (0.30–0.38)
Malignant 27 5 0.01 (0.00–0.01) -- -- -- -- -- -- -- -- -- -- -- --
Non-Malignant 640 128 0.15 (0.14–0.17) -- -- -- -- -- -- -- -- -- -- -- --
Mesenchymal tumors 611 122 0.15 (0.14–0.16) 179 36 0.18 (0.15–0.21) -- -- -- -- -- -- -- -- --
Primary melanocytic lesions -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Lymphomas and Hematopoietic Neoplasms 135 27 0.03 (0.03–0.04) 19 4 0.02 (0.01–0.03) 34 7 0.03 (0.02–0.05) 35 7 0.03 (0.02–0.05) 47 9 0.04 (0.03–0.06)
Lymphoma -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Other hematopoietic neoplasms -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
Germ Cell Tumors 849 170 0.21 (0.19–0.22) 109 22 0.11 (0.09–0.13) 156 31 0.15 (0.13–0.18) 318 64 0.31 (0.28–0.34) 266 53 0.25 (0.22–0.28)
Malignant 752 150 0.18 (0.17–0.20) 71 14 0.07 (0.06–0.09) 126 25 0.12 (0.10–0.15) -- -- -- -- -- --
Non-Malignant 97 19 0.02 (0.02–0.03) 38 8 0.04 (0.03–0.05) 30 6 0.03 (0.02–0.04) -- -- -- -- -- --
Tumors of Sellar Region 4,484 897 1.08 (1.05–1.12) 194 39 0.20 (0.17–0.23) 612 122 0.60 (0.56–0.65) 965 193 0.93 (0.87–0.99) 2,713 543 2.58 (2.48–2.68)
Tumors of the pituitary 3,639 728 0.88 (0.85–0.91) 48 10 0.05 (0.04–0.06) 308 62 0.30 (0.27–0.34) 740 148 0.71 (0.66–0.76) 2,543 509 2.42 (2.32–2.51)
Craniopharyngioma 845 169 0.21 (0.19–0.22) 146 29 0.15 (0.12–0.17) 304 61 0.30 (0.27–0.33) 225 45 0.22 (0.19–0.25) 170 34 0.16 (0.14–0.19)
Unclassified Tumors 1,570 314 0.38 (0.36–0.40) 375 75 0.38 (0.34–0.42) 314 63 0.31 (0.28–0.35) 409 82 0.39 (0.36–0.43) 472 94 0.45 (0.41–0.49)
Hemangioma 486 97 0.12 (0.11–0.13) 72 14 0.07 (0.06–0.09) 87 17 0.09 (0.07–0.11) 135 27 0.13 (0.11–0.15) 192 38 0.18 (0.16–0.21)
Neoplasm, unspecified 868 174 0.21 (0.20–0.23) 191 38 0.19 (0.17–0.22) 182 36 0.18 (0.15–0.21) 248 50 0.24 (0.21–0.27) 247 49 0.23 (0.21–0.27)
Malignant 219 44 0.05 (0.05–0.06) 71 14 0.07 (0.06–0.09) 52 10 0.05 (0.04–0.07) 45 9 0.04 (0.03–0.06) 51 10 0.05 (0.04–0.06)
Non-Malignant 649 130 0.16 (0.15–0.17) 120 24 0.12 (0.10–0.14) 130 26 0.13 (0.11–0.15) 203 41 0.20 (0.17–0.22) 196 39 0.19 (0.16–0.21)
All other 216 43 0.05 (0.05–0.06) 112 22 0.11 (0.09–0.14) 45 9 0.04 (0.03–0.06) 26 5 0.02 (0.02–0.04) 33 7 0.03 (0.02–0.04)
Malignant 65 13 0.02 (0.01–0.02) 36 7 0.04 (0.03–0.05) -- -- -- -- -- -- -- -- --
Non-Malignant 151 30 0.04 (0.03–0.04) 76 15 0.08 (0.06–0.10) -- -- -- -- -- -- -- -- --
TOTAL c 25,497 5,099 6.21 (6.14–6.29) 6,106 1,221 6.15 (6.00–6.31) 5,628 1,126 5.53 (5.39–5.68) 6,074 1,215 5.87 (5.72–6.02) 7,689 1,538 7.31 (7.14–7.47)
Malignant 14,586 2,917 3.57 (3.51–3.62) 4,502 900 4.54 (4.40–4.67) 3,903 781 3.83 (3.71–3.96) 3,429 686 3.32 (3.21–3.43) 2,752 550 2.61 (2.52–2.71)
Non-Malignant 10,911 2,182 2.65 (2.60–2.70) 1,604 321 1.62 (1.54–1.70) 1,725 345 1.70 (1.62–1.78) 2,645 529 2.55 (2.45–2.65) 4,937 987 4.69 (4.56–4.82)

aAnnual average cases are calculated by dividing the five-year total by five.

bRates are per 100,000 and are age-adjusted to the 2000 US standard population.

cRefers to all brain tumors including histologies not presented in this table.

--Counts and rates are not presented when fewer than 16 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval; NOS, not otherwise specified

Fig. 17.

Fig. 17

Distributiona in Children and Adolescents (Age 15–19 Years) of All Primary Brain and CNS Tumors (Five-Year Total=7,683; Annual Average Cases=1,537) by A) Site and B) Histology, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

  • 35.7% of these tumors were diagnosed in the pituitary and craniopharyngeal duct.

  • The frontal lobe, temporal lobe, occipital lobe, and parietal lobe accounted for 18.5% of tumors in this age group.

The distribution of brain and other CNS tumors in adolescents age 15–19 years by histology is shown in Figure 17B.

  • The most common histology in adolescents was tumors of the pituitary (33.1%).

  • Gliomas accounted for 30.6% of tumors in adolescents. Of these gliomas, the histology pilocytic astrocytoma accounted for 8.2% of all tumors in this age group.

Incidence Rates by Histology and Sex in Children and Adolescents (Age 0–19 Years)

The incidence rates of the most common brain and other CNS tumors in children and adolescents by histology and sex are shown in Table 16.

Table 16.

Five-Year Total, Annual Average Totala, and Average Annual Age-Adjusted Incidence Ratesb with 95% Confidence Intervals for Brain and Other Central Nervous System Tumors in Children and Adolescents (Age 0–19 Years), Brain and Other Central Nervous System Tumors by Histology, and Sex, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014–2018

Histology Total Male Female
5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI)
Diffuse Astrocytic and Oligodendroglial Tumors 2,248 450 0.55 (0.53–0.57) 1,229 246 0.59 (0.55–0.62) 1,019 204 0.51 (0.48–0.54)
Diffuse astrocytoma 946 189 0.23 (0.22–0.25) 517 103 0.25 (0.23–0.27) 429 86 0.21 (0.19–0.23)
Anaplastic astrocytoma 365 73 0.09 (0.08–0.10) 210 42 0.10 (0.09–0.12) 155 31 0.08 (0.07–0.09)
Glioblastoma 700 140 0.17 (0.16–0.18) 386 77 0.18 (0.17–0.20) 314 63 0.16 (0.14–0.17)
Oligodendroglioma 164 33 0.04 (0.03–0.05) 81 16 0.04 (0.03–0.05) 83 17 0.04 (0.03–0.05)
Anaplastic oligodendroglioma 22 4 0.01 (0.00–0.01) -- -- -- -- -- --
Oligoastrocytic tumors 51 10 0.01 (0.01–0.02) -- -- -- -- -- --
Other Astrocytic Tumors 4,371 874 1.07 (1.04–1.10) 2,258 452 1.08 (1.04–1.13) 2,113 423 1.06 (1.01–1.10)
Pilocytic astrocytoma 3,877 775 0.95 (0.92–0.98) 1,983 397 0.95 (0.91–0.99) 1,894 379 0.95 (0.90–0.99)
Unique astrocytoma variants 494 99 0.12 (0.11–0.13) 275 55 0.13 (0.12–0.15) 219 44 0.11 (0.10–0.13)
Malignant 227 45 0.06 (0.05–0.06) 118 24 0.06 (0.05–0.07) 109 22 0.05 (0.04–0.07)
Non-Malignant 267 53 0.07 (0.06–0.07) 157 31 0.08 (0.06–0.09) 110 22 0.06 (0.05–0.07)
Ependymal Tumors 1,176 235 0.29 (0.27–0.30) 664 133 0.32 (0.29–0.34) 512 102 0.25 (0.23–0.28)
Malignant 985 197 0.24 (0.23–0.26) 551 110 0.26 (0.24–0.29) 434 87 0.22 (0.20–0.24)
Non-Malignant 191 38 0.05 (0.04–0.05) 113 23 0.05 (0.04–0.06) 78 16 0.04 (0.03–0.05)
Other Gliomas 3,133 627 0.77 (0.74–0.79) 1,568 314 0.75 (0.71–0.79) 1,565 313 0.78 (0.75–0.82)
Glioma malignant, NOS 3,099 620 0.76 (0.73–0.79) -- -- -- -- -- --
Other neuroepithelial tumors 34 7 0.01 (0.01-0.01) -- -- -- -- -- --
Neuronal and Mixed Neuronal-Glial Tumors 2,012 402 0.49 (0.47–0.51) 1,110 222 0.53 (0.50–0.56) 902 180 0.45 (0.42–0.48)
Malignant 140 28 0.03 (0.03–0.04) 74 15 0.04 (0.03–0.04) 66 13 0.03 (0.03–0.04)
Non-Malignant 1,872 374 0.46 (0.44–0.48) 1,036 207 0.49 (0.46–0.53) 836 167 0.42 (0.39–0.45)
Choroid Plexus Tumors 416 83 0.10 (0.09–0.11) 238 48 0.11 (0.10–0.13) 178 36 0.09 (0.08–0.10)
Malignant 104 21 0.03 (0.02–0.03) 63 13 0.03 (0.02–0.04) 41 8 0.02 (0.01–0.03)
Non-Malignant 312 62 0.08 (0.07–0.08) 175 35 0.08 (0.07–0.10) 137 27 0.07 (0.06–0.08)
Tumors of the Pineal Region 213 43 0.05 (0.05–0.06) 107 21 0.05 (0.04–0.06) 106 21 0.05 (0.04–0.06)
Malignant 176 35 0.04 (0.04–0.05) 91 18 0.04 (0.03–0.05) 85 17 0.04 (0.03–0.05)
Non-Malignant 37 7 0.01 (0.01-0.01) 16 3 0.01 (0.00–0.01) 21 4 0.01 (0.01–0.02)
Embryonal Tumors 2,397 479 0.59 (0.56–0.61) 1,431 286 0.69 (0.65–0.72) 966 193 0.48 (0.45–0.51)
Medulloblastoma 1,652 330 0.41 (0.39–0.43) 1,058 212 0.51 (0.48–0.54) 594 119 0.30 (0.27–0.32)
Primitive neuroectodermal tumors 208 42 0.05 (0.04–0.06) 107 21 0.05 (0.04–0.06) 101 20 0.05 (0.04–0.06)
Atypical teratoid/rhabdoid tumor 382 76 0.09 (0.08–0.10) 191 38 0.09 (0.08–0.11) 191 38 0.10 (0.08–0.11)
All other embryonal 155 31 0.04 (0.03–0.04) 75 15 0.04 (0.03–0.04) 80 16 0.04 (0.03–0.05)
Tumors of Cranial and Paraspinal Nerves 1,202 240 0.29 (0.28–0.31) 651 130 0.31 (0.29–0.33) 551 110 0.27 (0.25–0.30)
Nerve sheath tumors -- -- -- -- -- -- -- -- --
Malignant -- -- -- -- -- -- -- -- --
Non-Malignant -- -- -- -- -- -- -- -- --
Other tumors of cranial and paraspinal nerves -- -- -- -- -- -- -- -- --
Tumors of Meninges 1,291 258 0.31 (0.30–0.33) 622 124 0.30 (0.27–0.32) 669 134 0.33 (0.31–0.36)
Meningiomas 667 133 0.16 (0.15–0.17) 324 65 0.15 (0.14–0.17) 343 69 0.17 (0.15–0.19)
Malignant 27 5 0.01 (0.00–0.01) -- -- -- -- -- --
Non-Malignant 640 128 0.15 (0.14–0.17) -- -- -- -- -- --
Mesenchymal tumors -- -- -- -- -- -- -- -- --
Malignant -- -- -- -- -- -- -- -- --
Non-Malignant -- -- -- -- -- -- -- -- --
Primary melanocytic lesions -- -- -- -- -- -- -- -- --
Malignant -- -- -- -- -- -- -- -- --
Non-Malignant -- -- -- -- -- -- -- -- --
Lymphomas and Hematopoietic Neoplasms 135 27 0.03 (0.03–0.04) 78 16 0.04 (0.03–0.05) 57 11 0.03 (0.02–0.04)
Lymphoma -- -- -- -- -- -- -- -- --
Other hematopoietic neoplasms -- -- -- -- -- -- -- -- --
Germ Cell Tumors 849 170 0.21 (0.19–0.22) 596 119 0.28 (0.26–0.31) 253 51 0.13 (0.11–0.14)
Malignant 752 150 0.18 (0.17–0.20) 532 106 0.25 (0.23–0.28) 220 44 0.11 (0.10–0.13)
Non-Malignant 97 19 0.02 (0.02–0.03) 64 13 0.03 (0.02–0.04) 33 7 0.02 (0.01–0.02)
Tumors of Sellar Region 4,484 897 1.08 (1.05–1.12) 1,420 284 0.68 (0.64–0.71) 3,064 613 1.51 (1.46–1.57)
Tumors of the pituitary 3,639 728 0.88 (0.85–0.91) 946 189 0.45 (0.42–0.48) 2,693 539 1.33 (1.28–1.38)
Malignant -- -- -- -- -- -- -- -- --
Non-Malignant -- -- -- -- -- -- -- -- --
Craniopharyngioma 845 169 0.21 (0.19–0.22) 474 95 0.23 (0.21–0.25) 371 74 0.19 (0.17–0.21)
Unclassified Tumors 1,570 314 0.38 (0.36–0.40) 808 162 0.39 (0.36–0.41) 762 152 0.38 (0.35–0.41)
Hemangioma 486 97 0.12 (0.11–0.13) 262 52 0.12 (0.11–0.14) 224 45 0.11 (0.10–0.13)
Neoplasm, unspecified 868 174 0.21 (0.20–0.23) 439 88 0.21 (0.19–0.23) 429 86 0.21 (0.19–0.24)
Malignant 219 44 0.05 (0.05–0.06) 113 23 0.05 (0.04–0.06) 106 21 0.05 (0.04–0.06)
Non-Malignant 649 130 0.16 (0.15–0.17) 326 65 0.16 (0.14–0.17) 323 65 0.16 (0.14–0.18)
All other 216 43 0.05 (0.05–0.06) 107 21 0.05 (0.04–0.06) 109 22 0.05 (0.04–0.07)
Malignant 65 13 0.02 (0.01–0.02) 31 6 0.01 (0.01–0.02) 34 7 0.02 (0.01–0.02)
Non-Malignant 151 30 0.04 (0.03–0.04) 76 15 0.04 (0.03–0.05) 75 15 0.04 (0.03–0.05)
TOTAL d 25,497 5,099 6.21 (6.14–6.29) 12,780 2,556 6.10 (6.00–6.21) 12,717 2,543 6.33 (6.22–6.44)
Malignant 14,586 2,917 3.57 (3.51–3.62) 7,933 1,587 3.80 (3.71–3.88) 6,653 1,331 3.32 (3.25–3.41)
Non-Malignant 10,911 2,182 2.65 (2.60–2.70) 4,847 969 2.31 (2.24–2.38) 6,064 1,213 3.00 (2.93–3.08)

aAnnual average cases are calculated by dividing the five-year total by five.

bRates are per 100,000 and are age-adjusted to the 2000 US standard population.

cRefers to all brain tumors including histologies not presented in this table.

- Counts and rates are not presented when fewer than 16 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval; NOS, not otherwise specified.

  • Average annual incidence rates were highest for other astrocytic tumors (1.07 per 100,000 population) and other gliomas (0.77 per 100,000 population). Among these tumors, the most common histologies were pilocytic astrocytoma (0.95 per 100,000 population), glioma malignant, NOS (0.76 per 100,000 population), and embryonal tumors (0.59 per 100,000 population).

  • There were notable differences in incidence rates between males and females for ependymal tumors, embryonal tumors, germ cell tumors, and tumors of the pituitary.

Incidence Rates by Histology and Race/Ethnicity in Children and Adolescents (Age 0–19 Years)

Table 17 shows incidence rates for brain and other CNS tumors by histology and race for children and adolescents age 0–19 years. Incidence rates by histology and ethnicity for children and adolescents age 0–19 years are shown in Table 18.

Table 17.

Five-Year Total, Annual Average Totala, and Average Annual Age-Adjusted Incidence Ratesb with 95% Confidence Intervals for Children and Adolescents (Age 0–19 Years), Brain and Other Central Nervous System Tumors by Histology, and Racec, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014–2018

Histology White Black American Indian/Alaska Native Asian/Pacific Islander
5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI)
Diffuse Astrocytic and Oligodendroglial Tumors 1,774 355 0.57 (0.55–0.60) 280 56 0.41 (0.37–0.46) 23 5 0.30 (0.19–0.46) 120 24 0.47 (0.39–0.56)
Diffuse astrocytoma 744 149 0.24 (0.22–0.26) 110 22 0.16 (0.13–0.19) -- -- -- 54 11 0.21 (0.16–0.28)
Anaplastic astrocytoma 291 58 0.09 (0.08–0.11) 49 10 0.07 (0.05–0.10) -- -- -- 17 3 0.07 (0.04–0.11)
Glioblastoma 547 109 0.18 (0.16–0.19) 94 19 0.14 (0.11–0.17) -- -- -- 38 8 0.15 (0.11–0.21)
Oligodendroglioma 131 26 0.04 (0.04–0.05) 19 4 0.03 (0.02–0.04) -- -- -- -- -- --
Anaplastic oligodendroglioma 16 3 0.01 (0.00–0.01) -- -- -- -- -- -- -- -- --
Oligoastrocytic tumors 45 9 0.01 (0.01–0.02) -- -- -- -- -- -- -- -- --
Other Astrocytic Tumors 3,494 699 1.14 (1.10–1.17) 534 107 0.78 (0.72–0.85) 41 8 0.54 (0.38–0.73) 209 42 0.82 (0.71–0.94)
Pilocytic astrocytoma 3,118 624 1.01 (0.98–1.05) 461 92 0.67 (0.61–0.74) -- -- -- 178 36 0.70 (0.60–0.81)
Unique astrocytoma variants 376 75 0.12 (0.11–0.14) 73 15 0.11 (0.08–0.14) -- -- -- 31 6 0.12 (0.08–0.17)
Malignant 185 37 0.06 (0.05–0.07) 24 5 0.04 (0.02–0.05) -- -- -- -- -- --
Non-Malignant 191 38 0.06 (0.05–0.07) 49 10 0.07 (0.05–0.10) -- -- -- -- -- --
Ependymal Tumors 932 186 0.30 (0.28–0.32) 149 30 0.22 (0.18–0.25) -- -- -- 56 11 0.22 (0.17–0.28)
Malignant 768 154 0.25 (0.23–0.27) -- -- -- -- -- -- -- -- --
Non-Malignant 164 33 0.05 (0.04–0.06) -- -- -- -- -- -- -- -- --
Other Gliomas 2,432 486 0.79 (0.76–0.82) 431 86 0.63 (0.57–0.69) 28 6 0.36 (0.24–0.53) 172 34 0.67 (0.58–0.78)
Glioma malignant, NOS 2,406 481 0.78 (0.75–0.82) -- -- -- -- -- -- -- -- --
Other neuroepithelial tumors 26 5 0.01 (0.01-0.01) -- -- -- -- -- -- -- -- --
Neuronal and Mixed Neuronal-Glial Tumors 1,580 316 0.51 (0.49–0.54) 269 54 0.40 (0.35–0.45) 20 4 0.26 (0.16–0.40) 109 22 0.43 (0.35–0.52)
Malignant 113 23 0.04 (0.03–0.04) 18 4 0.03 (0.02–0.04) -- -- -- -- -- --
Non-Malignant 1,467 293 0.47 (0.45–0.50) 251 50 0.37 (0.33–0.42) -- -- -- -- -- --
Choroid Plexus Tumors 325 65 0.11 (0.09–0.12) 56 11 0.08 (0.06–0.11) -- -- -- -- -- --
Malignant 76 15 0.02 (0.02–0.03) 17 3 0.02 (0.01–0.04) -- -- -- -- -- --
Non-Malignant 249 50 0.08 (0.07–0.09) 39 8 0.06 (0.04–0.08) -- -- -- -- -- --
Tumors of the Pineal Region 140 28 0.05 (0.04–0.05) 53 11 0.08 (0.06–0.10) -- -- -- -- -- --
Malignant 110 22 0.04 (0.03–0.04) -- -- -- -- -- -- -- -- --
Non-Malignant 30 6 0.01 (0.01-0.01) -- -- -- -- -- -- -- -- --
Embryonal Tumors 1,856 371 0.61 (0.58–0.63) 292 58 0.42 (0.38–0.48) 29 6 0.37 (0.25–0.54) 159 32 0.62 (0.53–0.73)
Medulloblastoma 1,298 260 0.42 (0.40–0.45) 176 35 0.26 (0.22–0.30) -- -- -- -- -- --
Primitive neuroectodermal tumors 159 32 0.05 (0.04–0.06) 32 6 0.05 (0.03–0.07) -- -- -- -- -- --
Atypical teratoid/rhabdoid tumor 280 56 0.09 (0.08–0.10) 58 12 0.08 (0.06–0.11) -- -- -- 30 6 0.12 (0.08–0.17)
All other embryonal 119 24 0.04 (0.03–0.05) 26 5 0.04 (0.02–0.05) -- -- -- -- -- --
Tumors of Cranial and Paraspinal Nerves 935 187 0.30 (0.28–0.32) 141 28 0.21 (0.17–0.24) -- -- -- 79 16 0.31 (0.25–0.39)
Nerve sheath tumors 933 187 0.30 (0.28–0.32) 141 28 0.21 (0.17–0.24) -- -- -- 79 16 0.31 (0.25–0.39)
Other tumors of cranial and paraspinal nerves -- -- -- -- -- -- -- -- -- -- -- --
Tumors of Meninges 1,005 201 0.32 (0.30–0.34) 168 34 0.25 (0.21–0.29) -- -- -- 66 13 0.26 (0.20–0.33)
Meningiomas 521 104 0.17 (0.15–0.18) 98 20 0.14 (0.12–0.17) -- -- -- -- -- --
Malignant 24 5 0.01 (0.00–0.01) -- -- -- -- -- -- -- -- --
Non-Malignant 497 99 0.16 (0.15–0.17) -- -- -- -- -- -- -- -- --
Mesenchymal tumors 473 95 0.15 (0.14–0.17) -- -- -- -- -- -- 37 7 0.15 (0.10–0.20)
Malignant 57 11 0.02 (0.01–0.02) -- -- -- -- -- -- -- -- --
Non-Malignant 416 83 0.13 (0.12–0.15) -- -- -- -- -- -- -- -- --
Primary melanocytic lesions -- -- -- -- -- -- -- -- -- -- -- --
Lymphomas and Hematopoietic Neoplasms 97 19 0.03 (0.03–0.04) 16 3 0.02 (0.01–0.04) -- -- -- 20 4 0.08 (0.05–0.12)
Lymphoma 97 19 0.03 (0.03–0.04) 16 3 0.02 (0.01–0.04) -- -- -- 20 4 0.08 (0.05–0.12)
Other hematopoietic neoplasms -- -- -- -- -- -- -- -- -- -- -- --
Germ Cell Tumors 643 129 0.21 (0.19–0.23) 90 18 0.13 (0.11–0.16) -- -- -- 86 17 0.34 (0.27–0.42)
Malignant 572 114 0.19 (0.17–0.20) -- -- 0.11 (0.09–0.14) -- -- -- -- -- --
Non-Malignant 71 14 0.02 (0.02–0.03) -- -- -- -- -- -- -- -- --
Tumors of Sellar Region 3,405 681 1.09 (1.05–1.13) 654 131 0.96 (0.88–1.03) 52 10 0.70 (0.52–0.91) 240 48 0.94 (0.83–1.07)
Tumors of the pituitary 2,783 557 0.89 (0.85–0.92) 501 100 0.73 (0.67–0.80) -- -- -- 196 39 0.77 (0.67–0.89)
Craniopharyngioma 622 124 0.20 (0.19–0.22) 153 31 0.22 (0.19–0.26) -- -- -- 44 9 0.17 (0.13–0.23)
Unclassified Tumors 1,228 246 0.40 (0.37–0.42) 192 38 0.28 (0.24–0.32) 18 4 0.23 (0.14–0.37) 90 18 0.36 (0.29–0.44)
Hemangioma 404 81 0.13 (0.12–0.14) 44 9 0.06 (0.05–0.09) -- -- -- -- -- --
Neoplasm, unspecified 662 132 0.21 (0.20–0.23) 114 23 0.17 (0.14–0.20) -- -- -- 57 11 0.23 (0.17–0.29)
Malignant 158 32 0.05 (0.04–0.06) 37 7 0.05 (0.04–0.07) -- -- -- -- -- --
Non-Malignant 504 101 0.16 (0.15–0.18) 77 15 0.11 (0.09–0.14) -- -- -- -- -- --
All other 162 32 0.05 (0.04–0.06) 34 7 0.05 (0.03–0.07) -- -- -- -- -- --
Malignant 47 9 0.02 (0.01–0.02) -- -- -- -- -- -- -- -- --
Non-Malignant 115 23 0.04 (0.03–0.04) -- -- -- -- -- -- -- -- --
TOTAL d 19,846 3,969 6.42 (6.33–6.51) 3,325 665 4.87 (4.70–5.04) 253 51 3.32 (2.93–3.76) 1,438 288 5.65 (5.36–5.95)
Malignant 11,398 2,280 3.70 (3.64–3.77) 1,865 373 2.73 (2.61–2.86) 140 28 1.82 (1.53–2.15) 832 166 3.26 (3.05–3.49)
Non-Malignant 8,448 1,690 2.72 (2.66–2.78) 1,460 292 2.14 (2.03–2.25) 113 23 1.50 (1.23–1.80) 606 121 2.38 (2.20–2.58)

aAnnual average cases are calculated by dividing the five-year total by five.

bRates are per 100,000 and are age-adjusted to the 2000 US standard population.

cIndividuals with unknown race were excluded (N = 623).

dRefers to all brain tumors including histologies not presented in this table.

- Counts and rates are not presented when fewer than 16 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval; NOS, not otherwise specified.

Table 18.

Five-Year Total, Annual Average Totala, and Average Annual Age-Adjusted Incidence Ratesb with 95% Confidence Intervals for Children and Adolescents (Age 0–19 Years), Brain and Other Central Nervous System Tumors by Histology, Hispanic Ethnicityc, and Race, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014–2018

Histology Non-Hispanic All Hispanic White Hispanic Black Hispanic
5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI)
Diffuse Astrocytic and Oligodendroglial Tumors 1,843 369 0.59 (0.57–0.62) 405 81 0.40 (0.37–0.45) 367 73 0.41 (0.37–0.46) -- -- --
Diffuse astrocytoma 798 160 0.26 (0.24–0.28) 148 30 0.15 (0.12–0.17) 131 26 0.15 (0.12–0.17) -- -- --
Anaplastic astrocytoma 288 58 0.09 (0.08–0.10) 77 15 0.08 (0.06–0.10) 69 14 0.08 (0.06–0.10) -- -- --
Glioblastoma 555 111 0.18 (0.16–0.19) 145 29 0.15 (0.12–0.17) 134 27 0.15 (0.13–0.18) -- -- --
Oligodendroglioma 144 29 0.05 (0.04–0.05) 20 4 0.02 (0.01–0.03) 19 4 0.02 (0.01–0.03) -- -- --
Anaplastic oligodendroglioma -- -- -- -- -- -- -- -- -- -- -- --
Oligoastrocytic tumors -- -- -- -- -- -- -- -- -- -- -- --
Other Astrocytic Tumors 3,590 718 1.17 (1.13–1.21) 781 156 0.76 (0.71–0.82) 701 140 0.78 (0.72–0.84) 18 4 0.30 (0.18–0.47)
Pilocytic astrocytoma 3,198 640 1.04 (1.00–1.08) 679 136 0.66 (0.61–0.72) 611 122 0.68 (0.62–0.73) -- -- --
Unique astrocytoma variants 392 78 0.13 (0.11–0.14) 102 20 0.10 (0.08–0.12) 90 18 0.10 (0.08–0.12) -- -- --
Malignant 183 37 0.06 (0.05–0.07) 44 9 0.04 (0.03–0.06) 40 8 0.05 (0.03–0.06) -- -- --
Non-Malignant 209 42 0.07 (0.06–0.08) 58 12 0.06 (0.04–0.07) 50 10 0.06 (0.04–0.07) -- -- --
Ependymal Tumors 908 182 0.29 (0.28–0.31) 268 54 0.26 (0.23–0.30) 245 49 0.27 (0.24–0.31) -- -- --
Malignant 761 152 0.25 (0.23–0.27) 224 45 0.22 (0.19–0.25) 208 42 0.23 (0.20–0.26) -- -- --
Non-Malignant 147 29 0.05 (0.04–0.06) 44 9 0.04 (0.03–0.06) 37 7 0.04 (0.03–0.06) -- -- --
Other Gliomas 2,576 515 0.84 (0.81–0.87) 557 111 0.55 (0.50–0.59) 495 99 0.55 (0.50–0.60) 19 4 0.30 (0.18–0.47)
Glioma malignant, NOS -- -- -- -- -- -- -- -- -- -- -- --
Other neuroepithelial tumors -- -- -- -- -- -- -- -- -- -- -- --
Neuronal and Mixed Neuronal-Glial Tumors 1,656 331 0.53 (0.51–0.56) 356 71 0.36 (0.32–0.39) 320 64 0.36 (0.32–0.40) -- -- --
Malignant 110 22 0.04 (0.03–0.04) 30 6 0.03 (0.02–0.04) 27 5 0.03 (0.02–0.04) -- -- --
Non-Malignant 1,546 309 0.50 (0.47–0.52) 326 65 0.33 (0.29–0.36) 293 59 0.33 (0.29–0.37) -- -- --
Choroid Plexus Tumors 324 65 0.11 (0.09–0.12) 92 18 0.09 (0.07–0.11) 85 17 0.09 (0.07–0.12) -- -- --
Malignant 83 17 0.03 (0.02–0.03) 21 4 0.02 (0.01–0.03) 20 4 0.02 (0.01–0.03) -- -- --
Non-Malignant 241 48 0.08 (0.07–0.09) 71 14 0.07 (0.05–0.09) 65 13 0.07 (0.06–0.09) -- -- --
Tumors of the Pineal Region 173 35 0.06 (0.05–0.06) 40 8 0.04 (0.03–0.05) 34 7 0.04 (0.03–0.05) -- -- --
Malignant -- -- -- -- -- -- -- -- -- -- -- --
Non-Malignant -- -- -- -- -- -- -- -- -- -- -- --
Embryonal Tumors 1,877 375 0.62 (0.59–0.64) 520 104 0.50 (0.46–0.55) 472 94 0.52 (0.47–0.57) 18 4 0.28 (0.16–0.44)
Medulloblastoma 1,304 261 0.43 (0.40–0.45) 348 70 0.34 (0.30–0.38) 318 64 0.35 (0.31–0.39) -- -- --
Primitive neuroectodermal tumors 155 31 0.05 (0.04–0.06) 53 11 0.05 (0.04–0.07) 48 10 0.05 (0.04–0.07) -- -- --
Atypical teratoid/rhabdoid tumor 300 60 0.10 (0.09–0.11) 82 16 0.08 (0.06–0.10) 75 15 0.08 (0.06–0.10) -- -- --
All other embryonal 118 24 0.04 (0.03–0.05) 37 7 0.04 (0.02–0.05) 31 6 0.03 (0.02–0.05) -- -- --
Tumors of Cranial and Paraspinal Nerves 960 192 0.31 (0.29–0.33) 242 48 0.24 (0.21–0.27) 212 42 0.24 (0.21–0.27) -- -- --
Nerve sheath tumors -- -- -- -- -- -- -- -- -- -- -- --
Malignant -- -- -- -- -- -- -- -- -- -- -- --
Non-Malignant -- -- -- -- -- -- -- -- -- -- -- --
Other tumors of cranial and paraspinal nerves -- -- -- -- -- -- -- -- -- -- -- --
Tumors of Meninges 995 199 0.32 (0.30–0.34) 296 59 0.30 (0.27–0.33) 269 54 0.31 (0.27–0.34) -- -- --
Meningiomas -- -- -- -- -- -- -- -- -- -- -- --
Malignant -- -- -- -- -- -- -- -- -- -- -- --
Non-Malignant -- -- -- -- -- -- -- -- -- -- -- --
Mesenchymal tumors -- -- -- -- -- -- -- -- -- -- -- --
Malignant -- -- -- -- -- -- -- -- -- -- -- --
Non-Malignant -- -- -- -- -- -- -- -- -- -- -- --
Primary melanocytic lesions -- -- -- -- -- -- -- -- -- -- -- --
Malignant -- -- -- -- -- -- -- -- -- -- -- --
Non-Malignant -- -- -- -- -- -- -- -- -- -- -- --
Lymphomas and Hematopoietic Neoplasms 113 23 0.04 (0.03–0.04) 22 4 0.02 (0.01–0.03) 20 4 0.02 (0.01–0.03) -- -- --
Lymphoma -- -- -- -- -- -- 20 4 0.02 (0.01–0.03) -- -- --
Other hematopoietic neoplasms -- -- -- -- -- -- -- -- -- -- -- --
Germ Cell Tumors 636 127 0.21 (0.19–0.22) 213 43 0.21 (0.19–0.24) 193 39 0.22 (0.19–0.25) -- -- --
Malignant 556 111 0.18 (0.16–0.19) 196 39 0.20 (0.17–0.23) 177 35 0.20 (0.17–0.23) -- -- --
Non-Malignant 80 16 0.03 (0.02–0.03) 17 3 0.02 (0.01–0.03) 16 3 0.02 (0.01–0.03) -- -- --
Tumors of Sellar Region 3,256 651 1.03 (0.99–1.07) 1,228 246 1.26 (1.19–1.34) 1,105 221 1.28 (1.21–1.36) 36 7 0.63 (0.44–0.87)
Tumors of the pituitary 2,604 521 0.82 (0.79–0.85) 1,035 207 1.07 (1.01–1.14) 927 185 1.08 (1.01–1.15) -- -- --
Craniopharyngioma 652 130 0.21 (0.20–0.23) 193 39 0.19 (0.16–0.22) 178 36 0.20 (0.17–0.23) -- -- --
Unclassified Tumors 1,223 245 0.39 (0.37–0.42) 347 69 0.35 (0.31–0.38) 303 61 0.34 (0.30–0.38) -- -- --
Hemangioma 373 75 0.12 (0.11–0.13) 113 23 0.11 (0.09–0.14) 102 20 0.12 (0.09–0.14) -- -- --
Neoplasm, unspecified 687 137 0.22 (0.21–0.24) 181 36 0.18 (0.16–0.21) 153 31 0.17 (0.15–0.20) -- -- --
Malignant 174 35 0.06 (0.05–0.07) 45 9 0.04 (0.03–0.06) 39 8 0.04 (0.03–0.06) -- -- --
Non-Malignant 513 103 0.17 (0.15–0.18) 136 27 0.14 (0.11–0.16) 114 23 0.13 (0.11–0.16) -- -- --
All other 163 33 0.05 (0.05–0.06) 53 11 0.05 (0.04–0.07) 48 10 0.05 (0.04–0.07) -- -- --
Malignant -- -- -- -- -- -- -- -- -- -- -- --
Non-Malignant -- -- -- -- -- -- -- -- -- -- -- --
TOTAL d 20,130 4,026 6.50 (6.41–6.59) 5,367 1,073 5.35 (5.21–5.49) 4,821 964 5.43 (5.28–5.59) 160 32 2.63 (2.23–3.07)
Malignant 11,767 2,353 3.83 (3.76–3.90) 2,819 564 2.77 (2.66–2.87) 2,542 508 2.83 (2.72–2.94) 86 17 1.37 (1.09–1.69)
Non-Malignant 8,363 1,673 2.67 (2.62–2.73) 2,548 510 2.58 (2.48–2.68) 2,279 456 2.61 (2.50–2.72) 74 15 1.26 (0.99–1.58)

aAnnual average cases are calculated by dividing the five-year total by five.

bRates are per 100,000 and are age-adjusted to the 2000 US standard population.

cHispanic ethnicity is not mutually exclusive of race; Classified using the North American Association of Central Cancer Registries Hispanic Identification Algorithm, version 2 (NHIA v2).

dRefers to all brain tumors including histologies not presented in this table.

- Counts and rates are not presented when fewer than 16 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval; NOS, not otherwise specified.

  • Incidence rates were highest among White (6.42 per 100,000 population) compared to Blacks (4.87 per 100,000 population), AIAN (3.32 per 100,000 population), and API (5.65 per 100,000 population).

  • Incidence rates were highest among Hispanics (6.50 per 100,000 population) compared to non-Hispanics (2.63 per 100,000).

Incidence Rates by Age at Diagnosis and Histology in Children and Adolescents (Age 0–19 Years)

The detailed age-adjusted incidence rates for brain and other CNS tumors by histology for, children and adolescents age 0–19 years overall, and age groups 0–4 years, 5–9 years, 10–14 years, and 15–19 years are shown in Table 8.

  • Overall, incidence rates for age groups 0–4 years (6.3 per 100,000 population) and 15–19 years (7.32 per 100,000 population) exceeded those observed in age groups 5–9 years (5.59 per 100,000 population) and 10–14 years (5.94 per 100,000 population).

  • Individual histology distributions varied substantially within these age groups.

  • Incidence rates of pilocytic astrocytoma, glioma malignant, NOS, ependymal tumors, choroid plexus tumors, and embryonal tumors decreased with increasing age.

Incidence Rates by Histology Defined by ICCC in Children and Adolescents (Age 0–19 Years)

Supplementary Table 5 shows the CBTRUS brain and other CNS tumor data for children and adolescents used for this report according to the International Classification of Childhood Cancer (ICCC) grouping system for pediatric cancers (See Supplementary Table 1 for more additional information on the ICCC classification scheme).

Estimated Numbers of Expected Cases

Estimated Numbers of Expected Cases of All Primary Brain and Other CNS Tumors by State

The estimated number of cases of all primary brain and other CNS tumors for 2021 and 2022 by State and Behavior are shown in Table 19. Overall total rates by states presented are based on total malignant and non-malignant incidence. Stratified rates may not add up to these totals. Estimated numbers of cases are highly dependent on input data. Different patterns of incidence within strata can substantively affect the projected estimates, and strata-specific estimates may not equal the total estimate presented. Caution should be used when utilizing these estimates.

Table 19.

Estimated Number of Casesa,b of Brain and Other Central Nervous System Tumors Overall and by Behavior by State, 2021, 2022

State 2021 2022
Malignant Non-Malignant Total Malignant Non-Malignant Total
Alabama 400 680 1,070 400 700 1,100
Alaska 60 130 190 60 130 190
Arizona 500 1,020 1,520 500 1,030 1,530
Arkansas 270 500 770 270 520 790
California 2,820 5,750 8,580 2,860 5,600 8,470
Colorado 440 1,220 1,660 450 1,250 1,700
Connecticut 320 620 940 320 640 960
Delaware 80 100 180 80 100 180
District of Columbia -- -- 160 -- -- 170
Florida 1,810 4,580 6,400 1,840 4,690 6,530
Georgia 710 2,290 3,000 720 2,410 3,130
Hawaii 80 240 320 80 240 320
Idaho 150 300 440 150 310 460
Illinois 1,010 2,610 3,620 1,020 2,670 3,690
Indiana 540 680 1,210 540 590 1,130
Iowa 290 610 890 290 610 900
Kansas 230 520 740 230 530 760
Kentucky 430 1,010 1,450 440 1,030 1,470
Louisiana 340 1,020 1,350 340 1,060 1,400
Maine 140 150 290 140 150 290
Maryland 450 1,180 1,630 450 1,240 1,690
Massachusetts 600 970 1,560 600 1,000 1,600
Michigan 810 1,570 2,380 810 1,590 2,400
Minnesota 500 870 1,370 510 920 1,430
Mississippi 220 520 740 220 530 750
Missouri 520 1,080 1,600 520 1,100 1,620
Montana 100 210 310 100 220 320
Nebraska 170 280 440 170 280 450
Nevada 240 480 720 250 510 750
New Hampshire 130 240 370 140 250 380
New Jersey 770 1,720 2,480 770 1,690 2,450
New Mexico 150 190 340 150 180 320
New York 1,580 4,660 6,240 1,580 4,790 6,370
North Carolina 830 2,050 2,880 850 2,110 2,960
North Dakota 60 120 180 60 130 180
Ohio 1,030 1,520 2,550 1,040 1,510 2,550
Oklahoma 310 470 770 310 440 750
Oregon 370 580 950 380 590 970
Pennsylvania 1,200 2,830 4,030 1,210 2,880 4,090
Rhode Island 90 120 210 90 120 200
South Carolina 420 680 1,100 430 630 1,060
South Dakota 70 160 230 70 170 240
Tennessee 560 1,320 1,890 570 1,350 1,930
Texas 1,990 5,280 7,270 2,020 5,460 7,470
Utah 230 1,100 1,320 230 1,190 1,420
Vermont 60 120 180 60 120 180
Virginia 660 1,180 1,840 670 1,200 1,870
Washington 660 2,070 2,730 680 2,160 2,830
West Virginia 160 380 540 160 390 550
Wisconsin 540 1,280 1,820 540 1,310 1,850
Wyoming -- -- 140 -- -- 140
United States 25,690 62,500 88,190 25,930 63,040 88,970

aSource: Estimation based on CBTRUS NPCR and SEER 2000–2018 data for malignant tumors, and NPCR and SEER 2006–2018 data for non-malignant tumors.

bRounded to the nearest 10. Numbers may not add up due to rounding.

cTotal estimate is based on histology-specific estimate and may not add up to total by state.

- Estimated number is less than 50. These cases are included in overall rates.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program

  • The total number of new cases of primary brain and other CNS tumors for all 50 states and the District of Columbia in 2021 is estimated to be 88,190, with 25,690 malignant and 62,500 non-malignant cases.

  • For 2022, the estimate is 88,970 new cases of primary brain and other CNS tumors of which 25,930 and 63,040 are expected to be malignant and non-malignant, respectively.

Estimated Number of Expected Cases of All Primary Brain and Other CNS Tumors by Histology and Age at Diagnosis

The estimated number of cases of all primary brain and other CNS tumors for 2021 and 2022 overall and by histology are shown in Table 20 and including age groups in Supplementary Table 6.

Table 20.

Estimated Number of Casesa,b in the US of Brain and Other Central Nervous System Tumors Overall and by Behavior and Histology c, 2021, 2022

Histology 2021 2022
Malignant Non-Malignant Total Malignant Non-Malignant Total
Diffuse Astrocytic and Oligodendroglial Tumors 17,080 -- 17,080 17,270 -- 17,280
Diffuse astrocytoma 1,490 -- 1,490 1,480 -- 1,480
Anaplastic astrocytoma 1,350 -- 1,350 1,320 -- 1,320
Glioblastoma 13,160 13,160 13,430 13,430
Oligodendroglioma 690 690 680 680
Anaplastic oligodendroglioma -- -- -- -- -- --
Oligoastrocytic tumors -- -- -- -- -- --
Other Astrocytic Tumors 1,170 460 1,630 1,170 800 1,970
Pilocytic astrocytoma 1,050 380 1,430 1,040 720 1,770
Unique astrocytoma variants 120 80 200 130 70 200
Ependymal Tumors 790 630 1,420 780 640 1,420
Other Gliomas 1,850 -- 1,850 -- -- 1,900
Glioma malignant, NOS -- -- -- -- --
Other neuroepithelial tumors -- -- -- -- -- --
Neuronal and Mixed Neuronal-Glial Tumors 210 890 1,100 220 910 1,120
Neuronal and mixed neuronal-glial tumors 210 890 1,100 220 910 1,120
Choroid Plexus Tumors -- -- 170 -- -- 170
Tumors of the Pineal Region 100 70 160 100 70 170
Embryonal Tumors 600 -- 600 590 -- 590
Tumors of Cranial and Paraspinal Nerves -- -- 6,630 -- -- 6,380
Nerve sheath tumors -- -- -- -- -- --
Other tumors of cranial and paraspinal nerves -- -- -- --
Tumors of Meninges 460 36,760 37,210 440 37,620 38,060
Meningiomas 280 35,860 36,130 260 36,770 37,020
Mesenchymal tumors -- -- -- -- -- --
Primary melanocytic lesions -- -- -- -- -- --
Lymphomas and Hematopoietic Neoplasms 1,800 -- 1,800 1,830 -- 1,830
Lymphoma -- -- -- -- -- --
Other hematopoietic neoplasms -- -- -- -- -- --
Germ Cell Tumors -- -- 260 -- -- 260
Tumors of Sellar Region -- -- 14,870 -- -- 14,530
Tumors of the pituitary -- -- 14,230 -- -- 13,870
Craniopharyngioma -- -- 650 -- -- 650
Unclassified Tumors 1,340 2,070 3,410 1,340 1,960 3,300
Hemangioma -- -- 760 -- -- 740
Neoplasm, unspecified 1,320 1,210 2,530 1,320 1,120 2,440
All other -- -- 120 -- -- 120
Total 25,690 62,500 88,190 25,930 63,040 88,970

aSource: Estimation based on CBTRUS NPCR and SEER 2000–2018 data for malignant tumors, and NPCR and SEER 2006–2018 data for non-malignant tumors.

bRounded to the nearest 10. Numbers may not add up due to rounding.

cTotal estimate is based on overall estimate. Histology-specific estimates may not add up to total. -Estimated number is less than 50 or allows for back-calculation of a value less than 50. These cases are included in overall rates.

Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program

  • Meningiomas have the highest number of all estimated new cases, with 36,130 cases projected in 2021 and 37,020 cases projected in 2022

  • Glioblastoma has the highest number of cases of all malignant tumors, with 13,160 cases projected in 2021 cases projected in 2021 and 13,430 cases projected in 2022.

  • For 2021 and 2022, the highest number of new cases is predicted in those age 65+ years, with 39,630 cases and 40,790 cases, respectively.

  • For 2021 and 2022, children age 0–14 years are estimated to have 3,890 and 4,170 new cases of primary brain and other CNS tumors each year, respectively.

  • For 2021 and 2022, children age 0–19 years are estimated to have 5,550 and 5,900 new cases of primary brain and other CNS tumors each year, respectively.

Mortality Rates

Mortality Rates for Malignant Brain and Other CNS Tumors by State and Sex

Table 21 and Figure 18 show average annual age-adjusted mortality rates for primary malignant brain and other CNS tumors in the US during 2014–2018 by state and sex.

Table 21.

Five-Year Total, Average Annual Totala, and Average Annual Age-Adjusted Mortality Ratesb for Malignant Brain and Other Central Nervous System Cancer Overall and by State and Sex, United States, 2014-2018c

State Total Male Female
5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI) 5-Year Total Annual Average Rate (95% CI)
Alabama 1,476 295 5.05 (4.79–5.32) 668 134 4.20 (3.88–4.55) 808 162 6.08 (5.66–6.53)
Alaska 152 30 4.21 (3.53–4.98) 71 14 4.10 (3.16–5.23) 81 16 4.27 (3.32–5.41)
Arkansas 867 173 4.84 (4.52–5.19) 395 79 4.06 (3.66–4.49) 472 94 5.74 (5.22–6.29)
Arizona 1,745 349 4.22 (4.02–4.43) 750 150 3.44 (3.19–3.70) 995 199 5.11 (4.79–5.44)
California 9,221 1,844 4.36 (4.27–4.45) 3,948 790 3.48 (3.37–3.59) 5,273 1,055 5.39 (5.24–5.54)
Colorado 1,281 256 4.26 (4.02–4.51) 571 114 3.63 (3.33–3.95) 710 142 4.96 (4.59–5.36)
Connecticut 986 197 4.48 (4.20–4.78) 417 83 3.52 (3.17–3.89) 569 114 5.68 (5.21–6.19)
District of Columbia 90 18 2.58 (2.06–3.18) 46 9 2.42 (1.76–3.25) 44 9 2.77 (2.00–3.75)
Delaware 246 49 4.07 (3.56–4.64) 101 20 3.07 (2.48–3.77) 145 29 5.27 (4.42–6.24)
Florida 5,814 1,163 4.19 (4.08–4.30) 2,541 508 3.37 (3.24–3.52) 3,273 655 5.11 (4.93–5.29)
Georgia 2,358 472 4.32 (4.15–4.50) 1,041 208 3.51 (3.29–3.73) 1,317 263 5.30 (5.00–5.60)
Hawaii 256 51 2.94 (2.58–3.34) 110 22 2.38 (1.94–2.90) 146 29 3.54 (2.98–4.19)
Idaho 498 100 5.19 (4.74–5.69) 183 37 3.62 (3.10–4.20) 315 63 6.91 (6.15–7.74)
Illinois 3,062 612 4.16 (4.01–4.31) 1,359 272 3.40 (3.22–3.59) 1,703 341 5.06 (4.81–5.31)
Indiana 1,739 348 4.56 (4.34–4.78) 728 146 3.56 (3.30–3.83) 1,011 202 5.71 (5.36–6.09)
Iowa 935 187 4.97 (4.65–5.31) 410 82 4.15 (3.74–4.59) 525 105 5.92 (5.41–6.47)
Kansas 825 165 4.96 (4.62–5.32) 358 72 4.11 (3.68–4.57) 467 93 5.95 (5.41–6.53)
Kentucky 1,286 257 4.90 (4.63–5.18) 566 113 4.01 (3.67–4.36) 720 144 5.92 (5.48–6.39)
Louisiana 1,128 226 4.28 (4.03–4.55) 531 106 3.70 (3.38–4.04) 597 119 4.99 (4.59–5.42)
Maine 497 99 5.41 (4.92–5.94) 196 39 3.97 (3.40–4.62) 301 60 7.03 (6.22–7.92)
Maryland 1,387 277 4.07 (3.85–4.29) 615 123 3.32 (3.06–3.61) 772 154 4.97 (4.62–5.35)
Massachusetts 1,899 380 4.62 (4.41–4.84) 850 170 3.81 (3.55–4.08) 1,049 210 5.63 (5.29–5.99)
Michigan 2,837 567 4.65 (4.48–4.83) 1,217 243 3.69 (3.48–3.91) 1,620 324 5.78 (5.49–6.08)
Minnesota 1,533 307 4.82 (4.58–5.08) 634 127 3.83 (3.53–4.15) 899 180 5.96 (5.56–6.37)
Mississippi 873 175 5.08 (4.74–5.43) 405 81 4.25 (3.84–4.70) 468 94 6.09 (5.54–6.69)
Missouri 1,617 323 4.38 (4.16–4.60) 700 140 3.50 (3.23–3.78) 917 183 5.42 (5.07–5.79)
Montana 325 65 4.91 (4.37–5.51) 133 27 3.99 (3.31–4.78) 192 38 5.93 (5.09–6.88)
Nebraska 541 108 4.99 (4.57–5.44) 222 44 3.93 (3.42–4.51) 319 64 6.18 (5.50–6.92)
Nevada 772 154 4.62 (4.29–4.97) 338 68 3.91 (3.50–4.37) 434 87 5.36 (4.85–5.91)
New Hampshire 416 83 4.87 (4.40–5.39) 179 36 4.07 (3.46–4.75) 237 47 5.88 (5.13–6.72)
New Jersey 2,247 449 4.23 (4.06–4.42) 1,004 201 3.48 (3.27–3.71) 1,243 249 5.14 (4.85–5.44)
New Mexico 482 96 3.85 (3.50–4.22) 217 43 3.32 (2.88–3.82) 265 53 4.46 (3.93–5.05)
New York 4,550 910 3.92 (3.81–4.04) 2,039 408 3.23 (3.08–3.38) 2,511 502 4.77 (4.58–4.96)
North Carolina 2,483 497 4.23 (4.06–4.40) 1,110 222 3.43 (3.23–3.65) 1,373 275 5.17 (4.90–5.46)
North Dakota 180 36 4.23 (3.62–4.92) 79 16 3.56 (2.80–4.47) 101 20 4.99 (4.04–6.10)
Ohio 3,304 661 4.65 (4.49–4.82) 1,440 288 3.75 (3.55–3.95) 1,864 373 5.70 (5.44–5.98)
Oklahoma 1,107 221 4.97 (4.68–5.28) 499 100 4.14 (3.77–4.53) 608 122 5.94 (5.46–6.44)
Oregon 1,222 244 4.88 (4.60–5.17) 499 100 3.79 (3.45–4.15) 723 145 6.07 (5.62–6.54)
Pennsylvania 3,681 736 4.51 (4.36–4.66) 1,565 313 3.53 (3.35–3.72) 2,116 423 5.67 (5.42–5.92)
Rhode Island 318 64 4.86 (4.32–5.45) 138 28 3.90 (3.26–4.65) 180 36 6.06 (5.18–7.06)
South Carolina 1,423 285 4.72 (4.47–4.98) 641 128 3.93 (3.63–4.26) 782 156 5.65 (5.25–6.08)
South Dakota 267 53 5.22 (4.60–5.92) 107 21 4.07 (3.30–4.96) 160 32 6.61 (5.59–7.76)
Tennessee 1,852 370 4.74 (4.52–4.97) 802 160 3.80 (3.53–4.08) 1,050 210 5.86 (5.50–6.24)
Texas 5,805 1,161 4.19 (4.08–4.30) 2,616 523 3.55 (3.41–3.69) 3,189 638 4.93 (4.76–5.11)
Utah 623 125 4.67 (4.31–5.06) 248 50 3.57 (3.13–4.05) 375 75 5.90 (5.31–6.55)
Vermont 222 44 5.50 (4.77–6.33) 101 20 4.72 (3.80–5.81) 121 24 6.43 (5.29–7.77)
Virginia 2,048 410 4.25 (4.07–4.45) 948 190 3.63 (3.39–3.87) 1,100 220 5.01 (4.71–5.33)
Washington 2,069 414 4.99 (4.77–5.22) 869 174 4.00 (3.73–4.29) 1,200 240 6.08 (5.73–6.44)
West Virginia 572 114 4.70 (4.31–5.12) 254 51 3.91 (3.42–4.45) 318 64 5.59 (4.97–6.27)
Wisconsin 1,721 344 4.94 (4.70–5.18) 716 143 3.86 (3.57–4.17) 1,005 201 6.09 (5.71–6.50)
Wyoming 191 38 5.74 (4.93–6.66) 86 17 4.95 (3.92–6.18) 105 21 6.67 (5.41–8.13)
United States 83,029 16,606 4.43 (4.40–4.46) 36,261 7,252 3.60 (3.56–3.63) 46,768 9,354 5.40 (5.35–5.45)

aAnnual average deaths are calculated by dividing the five- year total by five.

bRates are per 100,000 and are age-adjusted to the 2000 US standard population.

cEstimated by CBTRUS using Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: Mortality - All COD, Aggregated with State, Total U.S. (1990–2016) <Katrina/Rita Population Adjustment>, National Cancer Institute, DCCPS, Surveillance Research Program, released January 2018. Underlying mortality data provided by NCHS (www.cdc.gov/nchs).

- Counts and rates are not presented when fewer than 20 cases were reported for the specific category. The suppressed cases are included in the counts and rates for totals.

Abbreviations: NCHS, National Center for Health Statistics; CI, confidence interval.

Fig. 18.

Fig. 18

Average Annual Age-Adjusted Mortality Ratesa for Malignant Primary Brain and Other CNS Tumors by Central Cancer Registry, CBTRUS Statistical Report: NVSS, 2014–2018.

  • The aggregate total number of observed deaths was 83,029, for an average annual age-adjusted mortality rate of 4.43 per 100,000 population.

  • There was considerable variation by individual state, which ranged from a low of 2.58 deaths per 100,000 population to a high of 5.74 deaths per 100,000 population. Rates may vary by state for multiple reasons, including demographic variation and procedures for deciding primary cause of death on a death certificate.

  • Males had a higher mortality rate for malignant brain and other CNS tumors than females in the US population, with 5.40 per 100,000 population as compared to 3.60 per 100,000 population.

Overall Survival and Relative Survival

Estimates of median survival in months by histology and age group for all individuals diagnosed with primary malignant brain and other CNS tumors regardless of whether individuals received any treatment for their tumor are presented in Table 22. Survival curves for the most common histologies are presented by age group in Figure 19A.

Table 22.

Sixteen-Year Total Deaths, and Median survival in months with 95% Confidence Intervals for Selected Primary Malignant Brain and Other CNS Tumor Histologies, CBTRUS Statistical Report: NPCR, 2001–2017

Histology N Deaths Median Survival (95% CI)
Diffuse astrocytoma 23,296 12,717 59 (57–62)
Anaplastic astrocytoma 16,513 11,468 20 (19–21)
Glioblastoma 133,975 119,145 8 (8-8)
Oligodendroglioma 11,208 3,353 199 (190-**)
Anaplastic oligodendroglioma 5,028 2,340 97 (91–107)
Oligoastrocytic tumors 6,808 3,251 113 (108–121)
Pilocytic astrocytoma 14,442 1,068 ** (**-**)
Unique astrocytoma variants 1,285 299 ** (**-**)
Ependymal tumors 10,950 2,300 ** (**-**)
Glioma malignant, NOS 19,031 8,967 93 (84–102)
Other neuroepithelial tumors 174 53 ** (137-**)
Neuronal and mixed neuronal-glial tumors 2,337 735 190 (179-**)
Choroid plexus tumors 359 136 176 (125-**)
Tumors of the pineal region 1,031 360 ** (146-**)
Embryonal tumors 9,946 3,847 ** (**-**)
Nerve sheath tumors 669 233 ** (**-**)
Meningiomas 4,842 2,333 103 (94–110)
Mesenchymal tumors 1,869 741 136 (118–148)
Primary melanocytic lesions 159 118 15 (11–25)
Lymphoma 18,327 12,396 15 (14–16)
Other hematopoietic neoplasms 225 101 138 (87-**)
Germ cell tumors 2,939 440 ** (**-**)
Tumors of the pituitary 402 134 ** (165-**)
Neoplasm, unspecified 10,276 8,332 3 (3-3)
All other 176 97 23 (17–49)

** cannot be calculated

Abbreviations: AYA, Adolescents and Young Adults; CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval; NOS, not otherwise specified

Fig. 19.

Fig. 19

A) Kaplan-Meier Survival Curves for the Five Most Common Histologies within Age Group at Diagnosis (Age 0–14, 15–39 and 40+) and B) Hazard Ratios And 95% Confidence Intervals for Sex, Age at Diagnosis, Race, and Ethnicity for the Five Most Common Histologies Overall, National, Data provided by CDC’s National Program of Cancer Registries, 2001–2017.

  • Median survival was lowest for glioblastoma (8 months) and highest for oligodendroglioma (199 months, or approximately 16.6 years).

  • Median survival was not able to be estimated for pilocytic astrocytoma, unique astrocytoma variants, ependymal tumors, other neuroepithelial tumors, tumors of the pineal region, embryonal tumors, nerve sheath tumors, germ cell tumors, or tumors of the pituitary as >50% of individuals remained alive during the 15 year follow up period.

  • Many other published survival estimates (including many of those previously published by CBTRUS) incorporate treatment patterns which may explain differences between these population-level estimates and other published estimates.

Demographic factors such as age at diagnosis, sex, race, and ethnicity are known to have a significant effect on survival time after diagnosis in primary brain and other CNS tumors. Hazard ratios for the effect of age groups, sex, race, and ethnicity are presented in Table 23 for all individuals regardless of whether they received any treatment for their tumor. Hazard ratio estimates for demographic factors in the five most common histologies are presented by histology in Figure 19B.

Table 23.

Hazards Ratios for Death and 95% Confidence Intervals for Age Group at Diagnosis, Sex, Race, and Ethnicity for Selected Primary Malignant Brain and Other CNS Tumor Histologies, CBTRUS Statistical Report: NPCR and SEER, 2001–2017

Histology N Deaths Age Groups (compared to children ages 0–14 yearsa) Sex (compared to male) Race & Ethnicity (Compared to White, Non-Hispanic)
AYAb (15–39) Years Adults (40+) Years Female Black, Non-Hispanic API, Non-Hispanic AIAN, Non-Hispanic Hispanic
HR (95% CI) P-value HR (95% CI) P-value HR (95% CI) P-value HR (95% CI) P-value HR (95% CI) P-value HR (95% CI) P-value HR (95% CI) P-value
Diffuse astrocytoma 23,128 12,665 1.84 (1.67–2.03) <0.001 6.74 (6.14–7.39) <0.001 0.97 (0.94–1.01) 0.096 1.04 (0.97–1.12) 0.227 0.90 (0.80–1.01) 0.061 0.83 (0.67–1.04) 0.102 0.81 (0.76–0.86) <0.001
Anaplastic astrocytoma 16,441 11,434 0.38 (0.34–0.42) <0.001 1.26 (1.15–1.38) <0.001 0.97 (0.94–1.01) 0.111 1.08 (1.01–1.17) 0.035 0.84 (0.74–0.94) 0.003 0.96 (0.75–1.23) 0.756 0.82 (0.77–0.88) <0.001
Glioblastoma 133,535 118,828 0.73 (0.68–0.78) <0.001 1.76 (1.65–1.88) <0.001 1.02 (1.01–1.04) <0.001 0.93 (0.90–0.95) <0.001 0.70 (0.68–0.73) <0.001 1.00 (0.91–1.09) 0.927 0.77 (0.76–0.79) <0.001
Oligodendroglioma 11,122 3,340 3.24 (2.21–4.76) <0.001 7.32 (5.01–10.71) <0.001 0.88 (0.82–0.94) <0.001 1.44 (1.25–1.65) <0.001 0.78 (0.62–0.96) 0.022 1.21 (0.80–1.84) 0.374 0.77 (0.68–0.87) <0.001
Anaplastic oligodendroglioma 4,998 2,334 0.76 (0.50–1.15) 0.191 1.63 (1.08–2.46) 0.021 0.90 (0.82–0.97) 0.008 1.29 (1.09–1.52) 0.003 0.83 (0.68–1.03) 0.089 0.95 (0.55–1.64) 0.861 0.78 (0.68–0.90) <0.001
Oligoastrocytic tumors 6,756 3,237 1.69 (1.24–2.31) <0.001 3.67 (2.69–5.00) <0.001 0.93 (0.87–1.00) 0.055 1.30 (1.13–1.50) <0.001 0.90 (0.74–1.10) 0.292 1.38 (0.94–2.02) 0.098 0.88 (0.78–0.99) 0.036
Pilocytic astrocytoma 14,222 1,062 1.69 (1.45–1.97) <0.001 7.87 (6.81–9.10) <0.001 0.86 (0.76–0.97) 0.015 1.40 (1.17–1.69) <0.001 0.98 (0.66–1.47) 0.936 1.23 (0.64–2.38) 0.535 1.14 (0.95–1.36) 0.164
Unique astrocytoma variants 1,267 298 1.21 (0.87–1.68) 0.256 4.30 (3.11–5.96) <0.001 0.79 (0.63–0.99) 0.043 0.87 (0.61–1.23) 0.429 1.36 (0.78–2.39) 0.282 1.70 (0.70–4.14) 0.24 0.83 (0.58–1.17) 0.276
Ependymal tumors 10,831 2,297 0.42 (0.37–0.48) <0.001 0.88 (0.80–0.97) 0.010 0.75 (0.69–0.82) <0.001 1.26 (1.10–1.44) <0.001 0.92 (0.71–1.18) 0.493 1.01 (0.62–1.66) 0.966 1.10 (0.98–1.23) 0.120
Glioma malignant, NOS 18,803 8,935 0.76 (0.70–0.82) <0.001 3.53 (3.35–3.71) <0.001 1.02 (0.98–1.06) 0.367 1.10 (1.03–1.17) 0.006 0.94 (0.83–1.06) 0.282 0.87 (0.65–1.16) 0.332 1.02 (0.96–1.09) 0.465
Other neuroepithelial tumors 169 52 2.63 (0.72–9.61) 0.144 ** ** 0.85 (0.46–1.55) 0.588 0.60 (0.21–1.72) 0.339 1.17 (0.36–3.83) 0.791 ** ** 0.66 (0.30–1.48) 0.317
Neuronal and mixed neuronal-glial Tumors 2,304 732 1.39 (1.01–1.90) 0.040 2.13 (1.60–2.83) <0.001 0.79 (0.68–0.92) 0.002 1.44 (1.14–1.83) 0.002 1.02 (0.72–1.44) 0.922 1.67 (0.74–3.75) 0.217 1.10 (0.87–1.38) 0.431
Choroid plexus tumors 351 135 0.72 (0.41–1.28) 0.263 1.42 (0.91–2.22) 0.123 0.91 (0.65–1.28) 0.577 1.36 (0.81–2.28) 0.248 1.13 (0.52–2.46) 0.754 3.55 (1.25–10.08) 0.018 0.62 (0.40–0.97) 0.036
Tumors of the pineal region 1,016 357 0.72 (0.56–0.93) 0.013 1.10 (0.85–1.43) 0.481 0.74 (0.60–0.91) 0.005 1.11 (0.86–1.43) 0.442 0.51 (0.23–1.16) 0.107 0.89 (0.28–2.79) 0.836 1.02 (0.76–1.38) 0.872
Embryonal tumors 9,854 3,819 0.83 (0.77–0.90) <0.001 1.96 (1.79–2.16) <0.001 1.00 (0.93–1.06) 0.903 1.24 (1.12–1.37) <0.001 1.08 (0.92–1.27) 0.359 0.84 (0.56–1.27) 0.41 0.96 (0.88–1.04) 0.288
Nerve sheath tumors 664 233 1.54 (0.81–2.93) 0.192 1.67 (0.90–3.10) 0.106 0.76 (0.58–0.98) 0.037 1.84 (1.27–2.68) 0.001 0.15 (0.04–0.62) 0.009 ** ** 1.10 (0.73–1.64) 0.652
Meningiomas 4,809 2,325 0.76 (0.43–1.33) 0.334 2.41 (1.42–4.07) 0.001 0.73 (0.67–0.79) <0.001 0.93 (0.83–1.05) 0.227 0.84 (0.68–1.05) 0.130 0.81 (0.42–1.55) 0.518 0.76 (0.65–0.89) <0.001
Mesenchymal tumors 1,847 736 0.70 (0.51–0.95) 0.022 1.51 (1.15–1.98) 0.003 1.01 (0.87–1.17) 0.882 1.10 (0.86–1.40) 0.455 0.89 (0.63–1.26) 0.510 1.54 (0.76–3.09) 0.23 0.88 (0.71–1.10) 0.259
Primary melanocytic lesions 158 118 0.35 (0.17–0.73) 0.005 0.55 (0.30–1.00) 0.049 0.88 (0.60–1.29) 0.517 1.46 (0.58–3.72) 0.423 0.98 (0.31–3.12) 0.969 ** ** 1.53 (0.89–2.61) 0.124
Lymphoma 18,255 12,372 3.77 (2.60–5.46) <0.001 7.00 (4.86–10.08) <0.001 0.94 (0.91–0.97) <0.001 1.14 (1.08–1.22) <0.001 0.80 (0.73–0.87) <0.001 1.07 (0.86–1.35) 0.539 0.90 (0.85–0.96) <0.001
Other hematopoietic neoplasms 223 101 ** ** ** ** 1.10 (0.74–1.64) 0.634 0.84 (0.51–1.38) 0.500 1.19 (0.43–3.30) 0.733 1.84 (0.44–7.64) 0.402 0.66 (0.35–1.26) 0.209
Germ cell tumors 2,921 437 1.04 (0.85–1.27) 0.697 3.49 (2.43–5.01) <0.001 1.54 (1.25–1.90) <0.001 0.84 (0.59–1.20) 0.345 1.02 (0.73–1.40) 0.925 1.52 (0.56–4.09) 0.408 1.12 (0.89–1.42) 0.324
Tumors of the pituitary 401 134 ** ** ** ** 0.75 (0.53–1.07) 0.112 1.70 (1.12–2.57) 0.012 0.58 (0.14–2.35) 0.442 ** ** 0.80 (0.44–1.44) 0.453
Neoplasm, unspecified 10,172 8,281 0.68 (0.56–0.82) <0.001 3.08 (2.63–3.60) <0.001 1.05 (1.01–1.10) 0.018 0.74 (0.68–0.80) <0.001 0.81 (0.70–0.93) 0.003 0.77 (0.57–1.03) 0.075 0.70 (0.64–0.76) <0.001
All other 173 96 0.69 (0.40–1.17) 0.168 0.87 (0.48–1.60) 0.660 0.75 (0.50–1.14) 0.184 0.83 (0.39–1.74) 0.618 1.08 (0.39–3.02) 0.885 1.12 (0.27–4.63) 0.879 0.94 (0.56–1.58) 0.819

aChildren as defined by the National Cancer Institute, see: http://www.cancer.gov/researchandfunding/snapshots/pediatric.

bAdolescents and Young Adults (AYA), as defined by the National Cancer Institute, see: http://www.cancer.gov/cancertopics/aya.

** Cannot be calculated

Abbreviations: AYA, Adolescents and Young Adults; CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; SEER, Surveillance, Epidemiology, and End Results Program; CI, confidence interval; NOS, not otherwise specified

  • AYA had better overall survival as compared to children 0–14 years old in approximately half of the histologies evaluated, while adults 40+ years old had poorer survival.

  • Older adults (40+ years old) had poorer survival than children 0–14 years old in nearly every histology.

  • Females generally had better survival outcomes as compared to males with the exception of glioblastoma, embryonal tumors, and germ cell tumors.

  • Black, non-Hispanic individuals had poorer survival outcomes as compared to white, non-Hispanic individuals with the exception of glioblastoma.

  • AIAN, non-Hispanic individuals had poorer survival as compared to white, non-Hispanic individuals in many histologies, though the small size of this population meant that many of these associations were non-significant.

  • Being an API, non-Hispanic was associated with improved survival in many histologies as compared to Whites, Non-Hispanics.

  • Hispanic ethnicity was associated with improved survival in most histologies.

  • Many other published survival estimates (including many of those previously published by CBTRUS87–89) incorporate treatment patterns which may explain differences between these population-level estimates and other published estimates.

When interpreting these results, it is important to remember that these models do not incorporate important factors that affect survival such as treatment patterns, health insurance, or type of facility at which an individual received treatment, all of which may be associated with these demographic factors as well as overall survival.

Relative Survival Rates for Brain and Other CNS Tumors by Site and Behavior

Relative survival estimates by site and behavior are presented in Supplementary Table 7.

  • The highest five-year survival was for tumors occurring in the acoustic nerves (99.5%).

  • The lowest five-year survival was for tumors of overlapping lesion of brain (21.5%) and the parietal lobe (25.2%).

Relative Survival Rates for Brain and Other CNS Tumors by Histology, Behavior and Age Groups

Relative survival estimates for brain and other CNS tumors by histology, behavior, and age group at diagnosis are presented in Table 24 and Supplementary Table 8.

Table 24.

One-, Five-, and Ten-Year Relative Survival Ratesa,b (RS) with 95% Confidence Intervals for Brain and Other Central Nervous System Tumors by Histology and Behavior, Overall and by NCI Age Group at Diagnosis, CBTRUS Statistical Report: NPCR and SEER, 2001–2017 (varying)

Histology Age Groups (years) All Malignantc Non-Malignantd
Ne 1-Year RS (95% CI) 5-Year RS (95% CI) 10-Year RS (95% CI) Nf 1-Year RS (95% CI) 5-Year RS (95% CI) 10-Year RS (95% CI) Ne 1-Year RS (95% CI) 5-Year RS (95% CI) 10-Year RS (95% CI)
Diffuse astrocytoma 0–14g 1,964 92.2 (90.9–93.4) 82.2 (80.4–83.9) 80.0 (78.0–81.9) 2,487 91.9 (90.7–92.9) 81.3 (79.7–82.9) 79.3 (77.5–81.0) -- -- -- --
15–39h 5,987 95.5 (94.9–96.0) 77.6 (76.4–78.8) 60.9 (59.2–62.6) 7,290 94.9 (94.4–95.4) 76.4 (75.3–77.5) 59.1 (57.7–60.5) -- -- -- --
40+ 10,968 62.5 (61.5–63.4) 33.1 (32.1–34.1) 25.0 (23.9–26.0) 13,519 60.8 (59.9–61.6) 32.0 (31.2–32.9) 23.6 (22.7–24.5) -- -- -- --
All ages 18,919 76.0 (75.4–76.6) 52.4 (51.6–53.2) 42.3 (41.4–43.2) 23,296 74.8 (74.2–75.4) 51.4 (50.7–52.1) 41.0 (40.2–41.8) -- -- -- --
Anaplastic astrocytoma 0–14 616 65.8 (61.9–69.5) 24.5 (20.9–28.2) 18.7 (15.1–22.6) 711 65.3 (61.6–68.7) 24.5 (21.2–27.9) 19.5 (16.2–22.9) -- -- -- --
15–39 3,647 92.2 (91.3–93.1) 62.6 (60.8–64.4) 46.0 (43.7–48.3) 4,342 91.1 (90.2–91.9) 60.9 (59.2–62.5) 44.7 (42.8–46.7) -- -- -- --
40+ 9,501 57.0 (55.9–58.0) 19.7 (18.8–20.6) 14.0 (13.1–15.0) 11,460 55.2 (54.3–56.1) 19.2 (18.4–20.1) 13.8 (13.0–14.6) -- -- -- --
All ages 13,764 66.7 (65.9–67.5) 31.3 (30.4–32.2) 22.7 (21.8–23.7) 16,513 65.1 (64.4–65.9) 30.5 (29.7–31.2) 22.2 (21.4–23.0) -- -- -- --
Glioblastoma 0–14 1,031 56.8 (53.7–59.8) 19.4 (16.9–22.2) 16.4 (13.8–19.1) 1,216 56.3 (53.4–59.1) 20.6 (18.2–23.1) 17.6 (15.3–20.1) -- -- -- --
15–39 5,912 76.2 (75.0–77.3) 26.0 (24.8–27.3) 18.2 (16.9–19.5) 7,058 75.3 (74.2–76.3) 26.0 (24.9–27.1) 18.4 (17.3–19.5) -- -- -- --
40+ 106,806 40.5 (40.2–40.8) 5.6 (5.4–5.8) 3.4 (3.2–3.5) 125,699 38.8 (38.6–39.1) 5.3 (5.1–5.4) 3.3 (3.1–3.4) -- -- -- --
All ages 113,749 42.5 (42.2–42.8) 6.8 (6.7–7.0) 4.3 (4.2–4.5) 133,973 40.9 (40.7–41.2) 6.6 (6.4–6.7) 4.3 (4.1–4.4) -- -- -- --
Oligodendroglioma 0–14 264 97.3 (94.5–98.7) 94.0 (90.2–96.4) 91.7 (87.0–94.8) 351 97.1 (94.7–98.5) 94.2 (91.0–96.2) 91.5 (87.6–94.2) -- -- -- --
15–39 3,606 98.6 (98.2–99.0) 92.2 (91.1–93.2) 77.8 (75.8–79.7) 4,521 98.6 (98.2–99.0) 92.0 (91.1–92.9) 77.1 (75.5–78.7) -- -- -- --
40+ 5,052 92.4 (91.5–93.1) 76.8 (75.4–78.1) 63.4 (61.4–65.3) 6,336 91.5 (90.8–92.2) 75.8 (74.5–77.0) 61.9 (60.2–63.4) -- -- -- --
All ages 8,922 95.1 (94.5–95.5) 83.6 (82.7–84.5) 70.2 (68.8–71.6) 11,208 94.6 (94.1–95.0) 83.0 (82.2–83.8) 69.1 (68.0–70.2) -- -- -- --
Anaplastic oligodendroglioma 0–14 -- -- -- -- 54 84.8 (71.9–92.1) 59.5 (44.2–71.8) 54.1 (38.6–67.3) -- -- -- --
15–39 -- -- -- -- 1,470 95.4 (94.2–96.4) 77.0 (74.5–79.3) 62.5 (59.4–65.5) -- -- -- --
40+ 2,785 85.3 (83.9–86.7) 59.2 (57.1–61.3) 45.2 (42.5–47.9) 3,504 83.4 (82.1–84.7) 55.2 (53.3–57.0) 41.9 (39.7–44.1) -- -- -- --
All ages 3,988 88.4 (87.3–89.4) 65.1 (63.4–66.8) 50.5 (48.3–52.7) 5,028 87.0 (86.0–87.9) 61.7 (60.2–63.2) 48.3 (46.5–50.1) -- -- -- --
Oligoastrocytic tumors 0–14 144 91.0 (84.9–94.7) 80.8 (73.2–86.5) 78.9 (70.9–84.9) 184 90.2 (84.9–93.7) 77.9 (71.0–83.3) 76.5 (69.4–82.1) -- -- -- --
15–39 2,465 97.6 (96.8–98.1) 80.6 (78.9–82.2) 60.5 (58.0–63.0) 3,022 97.3 (96.7–97.9) 79.3 (77.8–80.8) 59.2 (57.0–61.3) -- -- -- --
40+ 2,981 82.8 (81.4–84.2) 55.0 (53.1–56.9) 44.1 (41.9–46.3) 3,602 81.9 (80.6–83.2) 53.4 (51.7–55.2) 42.4 (40.4–44.3) -- -- -- --
All ages 5,590 89.6 (88.7–90.4) 67.1 (65.8–68.4) 52.4 (50.7–54.0) 6,808 89.0 (88.2–89.8) 65.7 (64.5–66.9) 50.9 (49.4–52.3) -- -- -- --
Pilocytic astrocytoma 0–14 7,319 98.9 (98.6–99.1) 97.1 (96.6–97.5) 95.7 (95.0–96.3) 8,691 98.8 (98.5–99.0) 96.8 (96.4–97.2) 95.3 (94.7–95.8) -- -- -- --
15–39 3,629 98.5 (98.0–98.9) 94.9 (94.0–95.7) 93.1 (91.9–94.1) 4,312 98.4 (97.9–98.7) 94.8 (94.0–95.5) 92.9 (91.9–93.8) -- -- -- --
40+ 1,214 92.2 (90.4–93.7) 79.6 (76.6–82.2) 77.2 (73.5–80.4) 1,439 91.7 (90.1–93.1) 78.7 (76.1–81.1) 76.8 (73.6–79.6) -- -- -- --
All ages 12,162 98.1 (97.8–98.4) 94.7 (94.2–95.1) 93.1 (92.4–93.7) 14,442 98.0 (97.7–98.2) 94.4 (94.0–94.8) 92.8 (92.2–93.3) -- -- -- --
Unique astrocytoma variants 0–14 892 97.9 (96.6–98.6) 94.6 (92.7–96.0) 91.6 (88.7–93.7) 356 96.0 (93.3–97.6) 86.9 (82.5–90.3) 81.1 (75.2–85.7) 585 98.7 (97.2–99.4) 97.9 (96.2–98.8) 96.2 (93.1–97.9)
15–39 851 97.1 (95.7–98.1) 87.3 (84.5–89.6) 83.5 (80.1–86.4) 654 97.4 (95.8–98.4) 82.9 (79.3–85.8) 79.5 (75.5–82.9) 291 96.5 (93.5–98.1) 94.4 (90.6–96.7) 91.1 (85.6–94.6)
40+ 308 84.9 (80.1–88.6) 60.4 (53.9–66.4) 54.0 (46.1–61.2) 275 82.7 (77.5–86.8) 54.3 (47.4–60.7) 50.2 (42.4–57.4) 69 91.6 (81.3–96.3) 80.8 (67.6–89.1) 67.1 (47.3–80.9)
All ages 2,051 95.6 (94.6–96.5) 86.6 (84.8–88.1) 82.9 (80.6–84.9) 1,285 93.9 (92.4–95.1) 78.0 (75.3–80.4) 74.0 (70.9–76.8) 945 97.5 (96.2–98.3) 95.6 (93.9–96.9) 92.7 (89.9–94.7)
Ependymal tumors 0–14 2,268 95.5 (94.5–96.3) 80.2 (78.3–82.0) 71.5 (68.9–73.8) 2,420 94.5 (93.5–95.4) 76.6 (74.7–78.4) 67.0 (64.6–69.2) 254 99.6 (96.7–100.0) 97.6 (94.0–99.1) 97.6 (94.0–99.1)
15–39 4,593 98.2 (97.8–98.6) 94.8 (94.0–95.5) 91.6 (90.4–92.6) 3,047 97.1 (96.4–97.7) 91.4 (90.2–92.4) 87.2 (85.7–88.6) 2,023 99.5 (99.0–99.8) 98.9 (98.1–99.4) 97.5 (96.0–98.4)
40+ 8,710 94.9 (94.3–95.3) 90.9 (90.0–91.7) 87.7 (86.3–89.0) 5,483 93.1 (92.4–93.8) 86.8 (85.6–87.9) 83.2 (81.5–84.7) 4,099 96.5 (95.8–97.1) 95.0 (93.8–96.1) 92.6 (90.3–94.3)
All ages 15,571 96.0 (95.6–96.3) 90.5 (89.9–91.1) 86.5 (85.6–87.3) 10,950 94.5 (94.1–95.0) 85.8 (85.0–86.6) 80.7 (79.7–81.7) 6,376 97.6 (97.1–98.0) 96.4 (95.6–97.1) 94.4 (93.0–95.6)
Glioma malignant, NOS 0–14 5,637 81.9 (80.9–82.9) 69.7 (68.4–70.9) 68.5 (67.2–69.8) 6,625 81.1 (80.1–82.0) 68.3 (67.1–69.4) 67.0 (65.8–68.2) -- -- -- --
15–39 3,306 92.1 (91.1–93.0) 79.3 (77.7–80.8) 71.6 (69.4–73.6) 3,835 91.4 (90.5–92.3) 78.0 (76.5–79.4) 70.1 (68.3–71.9) -- -- -- --
40+ 7,167 52.6 (51.4–53.8) 35.7 (34.4–36.9) 29.5 (28.0–31.0) 8,571 50.9 (49.8–52.0) 33.9 (32.8–35.0) 27.9 (26.6–29.2) -- -- -- --
All ages 16,110 71.1 (70.4–71.9) 56.8 (56.0–57.7) 52.3 (51.3–53.2) 19,031 69.8 (69.1–70.4) 55.1 (54.3–55.8) 50.5 (49.7–51.4) -- -- -- --
Other neuroepithelial tumors 0–14 63 98.4 (88.5–99.8) 92.0 (79.6–97.0) 92.0 (79.6–97.0) 53 98.1 (86.7–99.7) 90.7 (76.6–96.5) 90.7 (76.6–96.5) -- -- -- --
15–39 79 96.2 (88.3–98.8) 88.2 (77.2–94.1) 83.8 (71.1–91.3) 63 95.2 (85.5–98.4) 87.4 (74.9–94.0) 79.2 (63.5–88.7) -- -- -- --
40+ 100 70.5 (59.9–78.7) 50.0 (38.2–60.7) 40.6 (27.4–53.4) 58 67.5 (53.3–78.3) 39.4 (25.3–53.2) 30.9 (16.8–46.2) 52 76.2 (61.1–86.0) 58.0 (40.8–71.8) 51.3 (31.8–67.7)
All ages 242 86.4 (81.1–90.2) 73.7 (66.8–79.5) 68.4 (60.1–75.3) 174 86.9 (80.7–91.3) 72.5 (64.3–79.1) 66.6 (57.2–74.4) 92 86.9 (77.5–92.6) 75.7 (63.8–84.1) 72.2 (58.5–82.1)
Neuronal and mixed neuronal-glial tumors 0–14 2,916 98.7 (98.1–99.0) 95.8 (94.9–96.5) 94.8 (93.7–95.7) 269 91.3 (87.1–94.1) 80.6 (75.0–85.1) 79.0 (73.1–83.7) 2,703 99.3 (98.9–99.6) 97.1 (96.2–97.7) 96.1 (95.0–96.9)
15–39 4,544 98.4 (98.0–98.8) 95.4 (94.7–96.1) 92.2 (91.0–93.3) 551 94.7 (92.4–96.3) 78.8 (74.8–82.2) 70.0 (65.0–74.4) 4,073 98.9 (98.5–99.2) 97.6 (96.9–98.1) 95.3 (94.2–96.2)
40+ 3,605 93.5 (92.5–94.3) 85.1 (83.5–86.5) 80.5 (78.2–82.6) 1,491 90.5 (88.8–92.0) 77.0 (74.2–79.5) 68.5 (64.6–72.0) 2,323 94.8 (93.7–95.7) 89.8 (88.0–91.3) 86.7 (84.2–88.9)
All ages 11,065 96.9 (96.5–97.2) 92.2 (91.5–92.8) 89.2 (88.2–90.0) 2,311 91.6 (90.3–92.7) 77.9 (75.8–79.8) 70.3 (67.6–72.8) 9,099 98.0 (97.6–98.3) 95.4 (94.9–96.0) 93.4 (92.5–94.1)
Choroid plexus tumors 0–14 877 95.5 (93.8–96.7) 89.7 (87.2–91.7) 87.2 (84.3–89.6) 266 87.1 (82.3–90.7) 65.4 (58.7–71.2) 58.8 (51.5–65.4) 652 98.3 (96.8–99.1) 97.2 (95.4–98.3) 96.4 (94.0–97.8)
15–39 538 98.0 (96.3–98.9) 96.0 (93.6–97.5) 91.8 (87.8–94.5) -- -- -- -- 501 98.0 (96.2–99.0) 96.8 (94.6–98.1) 94.6 (91.0–96.8)
40+ 617 89.3 (86.3–91.6) 84.1 (80.0–87.5) 80.3 (74.1–85.2) -- -- -- -- 573 90.3 (87.3–92.7) 85.9 (81.6–89.3) 83.6 (77.0–88.5)
All ages 2,032 94.3 (93.1–95.3) 89.7 (88.0–91.1) 86.4 (84.1–88.4) 359 86.4 (82.2–89.6) 67.0 (61.4–72.0) 57.0 (50.5–63.0) 1,726 95.6 (94.4–96.5) 93.5 (91.9–94.8) 91.8 (89.4–93.6)
Tumors of the pineal region 0–14 347 89.1 (85.2–92.0) 67.7 (61.9–72.8) 60.7 (54.2–66.6) 350 86.0 (81.8–89.3) 61.9 (56.1–67.1) 53.8 (47.5–59.6) 55 98.2 (87.1–99.8) 98.2 (87.1–99.8) 98.2 (87.1–99.8)
15–39 635 95.2 (93.1–96.6) 86.0 (82.5–88.8) 81.3 (76.9–84.9) 377 92.7 (89.4–94.9) 72.7 (67.2–77.5) 64.2 (57.7–69.9) 313 97.4 (94.8–98.7) 96.9 (93.7–98.5) 95.1 (90.2–97.6)
40+ 676 90.6 (87.9–92.7) 80.8 (76.7–84.3) 71.9 (65.8–77.1) 304 86.5 (82.0–90.0) 70.4 (63.9–75.9) 56.5 (48.4–63.9) 405 92.7 (89.3–95.0) 87.4 (82.2–91.2) 81.9 (73.6–87.9)
All ages 1,658 92.0 (90.5–93.3) 80.0 (77.6–82.1) 73.1 (70.0–76.1) 1,031 88.6 (86.4–90.4) 68.3 (64.9–71.3) 58.6 (54.7–62.3) 773 95.0 (93.0–96.4) 92.2 (89.2–94.3) 88.7 (84.2–92.0)
Embryonal tumors 0–14 5,567 81.6 (80.5–82.6) 63.4 (62.0–64.7) 58.5 (57.0–60.0) 6,705 81.2 (80.2–82.1) 62.5 (61.3–63.7) 57.8 (56.4–59.1) -- -- -- --
15–39 2,011 90.9 (89.5–92.1) 70.7 (68.5–72.9) 60.1 (57.4–62.8) 2,466 90.2 (89.0–91.3) 70.2 (68.2–72.2) 60.1 (57.8–62.4) -- -- -- --
40+ 732 69.8 (66.3–73.1) 44.9 (40.9–48.8) 36.9 (32.5–41.4) 865 69.8 (66.5–72.8) 45.7 (42.1–49.3) 36.9 (33.0–40.9) -- -- -- --
All ages 8,310 82.8 (82.0–83.6) 63.5 (62.4–64.6) 57.0 (55.7–58.2) 10,036 82.4 (81.7–83.2) 63.0 (62.0–64.0) 56.5 (55.4–57.6) -- -- -- --
Nerve sheath tumors 0–14 2,138 99.8 (99.4–99.9) 98.7 (98.0–99.2) 97.9 (97.0–98.6) -- -- -- -- 2,104 100.0 (1.0–100.0) 99.1 (98.5–99.5) 98.4 (97.5–99.0)
15–39 12,097 99.3 (99.1–99.4) 98.4 (98.1–98.7) 97.5 (97.0–97.9) -- -- -- -- 11,970 99.5 (99.3–99.6) 98.8 (98.5–99.0) 97.8 (97.3–98.2)
40+ 64,437 99.2 (99.1–99.3) 99.2 (99.1–99.3) 99.2 (99.1–99.3) 461 86.1 (82.3–89.1) 76.7 (71.8–80.9) 74.2 (67.6–79.7) 64,104 99.3 (99.2–99.4) 99.3 (99.2–99.4) 99.3 (99.2–99.4)
All ages 78,672 99.2 (99.1–99.3) 99.2 (99.1–99.3) 99.2 (99.1–99.3) 669 85.1 (82.0–87.7) 74.7 (70.8–78.2) 71.7 (66.7–76.0) 78,178 99.3 (99.2–99.4) 99.3 (99.2–99.4) 99.3 (99.2–99.4)
Other tumors of cranial and paraspinal nerves 0–14 -- -- -- -- -- -- -- -- -- -- -- --
15–39 -- -- -- -- -- -- -- -- -- -- -- --
40+ -- -- -- -- -- -- -- -- -- -- -- --
All ages 59 95.8 (83.4–99.0) 91.2 (75.8–97.0) 84.1 (60.5–94.2) -- -- -- -- 59 95.8 (83.4–99.0) 91.2 (75.8–97.0) 84.1 (60.5–94.2)
Meningiomas 0–14 622 97.5 (95.9–98.5) 95.4 (93.2–96.9) 91.7 (88.5–94.1) 58 89.6 (78.3–95.2) 77.8 (64.0–86.8) 72.0 (56.6–82.7) 575 98.4 (96.9–99.2) 96.7 (94.6–98.0) 93.4 (90.1–95.6)
15–39 21,287 98.7 (98.5–98.9) 96.8 (96.5–97.1) 94.6 (94.1–95.0) 396 94.2 (91.3–96.1) 83.4 (79.0–86.9) 78.0 (72.8–82.4) 20,985 98.8 (98.6–98.9) 97.1 (96.8–97.3) 94.9 (94.4–95.3)
40+ 319,101 92.7 (92.6–92.8) 87.3 (87.1–87.5) 82.6 (82.2–82.9) 4,388 83.4 (82.2–84.6) 65.9 (64.1–67.6) 59.0 (56.7–61.2) 315,698 92.8 (92.7–93.0) 87.6 (87.4–87.8) 82.9 (82.5–83.2)
All ages 341,010 93.1 (93.0–93.2) 88.0 (87.8–88.1) 83.4 (83.1–83.7) 4,842 84.4 (83.2–85.5) 67.5 (65.8–69.2) 60.8 (58.7–62.9) 337,258 93.2 (93.1–93.3) 88.2 (88.0–88.4) 83.7 (83.4–84.0)
Mesenchymal tumors 0–14 1,113 97.6 (96.5–98.4) 93.9 (92.1–95.3) 91.7 (89.1–93.7) 182 85.4 (79.3–89.9) 68.9 (61.2–75.4) 61.3 (52.6–68.9) 964 99.3 (98.3–99.7) 97.6 (96.1–98.5) 96.1 (93.7–97.6)
15–39 4,028 98.2 (97.7–98.6) 95.7 (95.0–96.4) 93.3 (92.1–94.3) 510 92.4 (89.7–94.5) 79.5 (75.3–83.0) 72.1 (67.1–76.4) 3,630 98.8 (98.4–99.1) 97.5 (96.8–98.0) 95.4 (94.2–96.3)
40+ 9,736 94.2 (93.6–94.7) 89.3 (88.4–90.2) 83.6 (82.1–85.1) 1,190 86.9 (84.7–88.8) 68.1 (64.8–71.3) 51.1 (46.8–55.2) 8,745 95.0 (94.4–95.5) 91.8 (90.9–92.6) 87.5 (85.9–88.9)
All ages 14,877 95.5 (95.1–95.9) 91.4 (90.8–92.0) 86.9 (85.9–87.9) 1,882 88.3 (86.6–89.7) 71.4 (69.0–73.8) 58.3 (55.1–61.3) 13,339 96.3 (95.9–96.7) 93.8 (93.1–94.3) 90.3 (89.2–91.3)
Primary melanocytic lesions 0–14 -- -- -- -- -- -- -- -- -- -- -- --
15–39 -- -- -- -- -- -- -- -- -- -- -- --
40+ 159 67.9 (59.6–74.8) 44.7 (35.7–53.2) 26.4 (15.4–38.7) 113 59.1 (49.1–67.8) 32.2 (22.9–41.9) 16.6 (7.3–29.0) 64 85.2 (72.7–92.3) 60.1 (43.3–73.4) 37.2 (18.3–56.3)
All ages 221 67.5 (60.7–73.5) 46.7 (39.0–54.0) 30.8 (21.9–40.1) 159 56.1 (47.9–63.6) 32.9 (25.1–40.9) 20.7 (12.7–30.1) 88 88.1 (78.4–93.6) 67.5 (53.9–77.8) 48.6 (32.1–63.3)
Lymphoma 0–14 158 91.5 (85.8–95.0) 85.3 (78.2–90.2) 78.4 (67.9–85.8) 179 91.4 (86.1–94.7) 85.3 (78.7–89.9) 80.4 (72.0–86.5) -- -- -- --
15–39 1,430 66.6 (64.0–69.0) 58.6 (55.8–61.2) 53.8 (50.6–56.9) 1,809 62.2 (59.8–64.4) 53.4 (51.0–55.8) 49.3 (46.6–51.8) -- -- -- --
40+ 13,843 53.7 (52.9–54.6) 35.5 (34.6–36.4) 27.3 (26.1–28.4) 16,365 53.1 (52.3–53.9) 34.1 (33.3–35.0) 25.4 (24.4–26.4) -- -- -- --
All ages 15,431 55.3 (54.5–56.1) 38.3 (37.4–39.2) 30.5 (29.5–31.6) 18,353 54.4 (53.6–55.1) 36.7 (35.9–37.5) 28.6 (27.7–29.5) -- -- -- --
Other hematopoietic neoplasms 0–14 -- -- -- -- -- -- -- -- -- -- -- --
15–39 -- -- -- -- -- -- -- -- -- -- -- --
40+ 139 81.6 (73.5–87.4) 65.0 (54.9–73.4) 61.0 (49.9–70.3) 176 81.8 (74.7–87.0) 63.4 (54.6–71.0) 58.7 (48.7–67.4) -- -- -- --
All ages 155 83.5 (76.1–88.8) 65.5 (56.1–73.5) 61.8 (51.5–70.6) 199 83.9 (77.6–88.6) 65.4 (57.3–72.4) 61.3 (52.1–69.3) -- -- -- --
Germ cell tumors 0–14 1,304 93.4 (91.9–94.7) 89.1 (87.1–90.8) 86.0 (83.5–88.2) 1,344 92.8 (91.2–94.1) 87.2 (85.1–89.0) 83.4 (80.8–85.6) 168 93.3 (88.0–96.3) 92.6 (87.1–95.8) 92.6 (87.1–95.8)
15–39 1,380 95.1 (93.7–96.1) 89.0 (87.0–90.7) 87.0 (84.7–88.9) 1,507 94.1 (92.8–95.2) 87.9 (86.0–89.6) 85.4 (83.2–87.4) 116 99.2 (93.0–99.9) 93.4 (85.8–97.0) 90.8 (81.9–95.4)
40+ 183 91.8 (86.2–95.2) 83.6 (75.6–89.1) 80.6 (70.1–87.8) 87 81.6 (71.1–88.6) 65.7 (53.1–75.6) 61.5 (47.0–73.1) 113 98.2 (89.8–99.7) 92.6 (81.6–97.1) 89.1 (75.8–95.3)
All ages 2,867 94.1 (93.2–94.9) 88.7 (87.3–89.9) 86.2 (84.6–87.7) 2,938 93.2 (92.2–94.0) 86.9 (85.6–88.2) 83.9 (82.2–85.4) 397 96.5 (93.9–98.0) 92.7 (88.9–95.3) 91.0 (86.4–94.1)
Tumors of the pituitary 0–14 2,158 99.9 (99.5–100.0) 99.5 (98.9–99.7) 99.1 (98.2–99.5) -- -- -- -- 2,156 99.9 (99.5–100.0) 99.5 (98.9–99.7) 99.1 (98.2–99.5)
15–39 47,300 99.7 (99.6–99.8) 99.3 (99.2–99.4) 98.7 (98.5–98.9) -- -- -- -- 47,235 99.7 (99.6–99.8) 99.3 (99.2–99.4) 98.7 (98.5–98.9)
40+ 104,717 97.5 (97.4–97.6) 95.7 (95.5–96.0) 93.5 (93.0–93.9) 358 88.0 (83.8–91.2) 78.9 (72.9–83.7) 72.7 (64.4–79.5) 104,428 97.5 (97.4–97.6) 95.8 (95.5–96.0) 93.5 (93.0–94.0)
All ages 154,175 98.2 (98.1–98.3) 96.9 (96.7–97.1) 95.2 (94.9–95.5) 456 90.2 (86.8–92.8) 81.2 (76.3–85.2) 76.9 (70.3–82.3) 153,819 98.2 (98.1–98.3) 97.0 (96.8–97.1) 95.3 (95.0–95.6)
Craniopharyngioma 0–14 1,688 98.6 (97.9–99.1) 95.7 (94.5–96.7) 92.5 (90.7–94.0) -- -- -- -- 1,681 98.7 (98.0–99.1) 95.8 (94.5–96.7) 92.6 (90.7–94.0)
15–39 1,745 96.0 (94.9–96.9) 91.2 (89.6–92.6) 87.5 (85.3–89.4) -- -- -- -- 1,743 96.0 (94.9–96.8) 91.2 (89.6–92.6) 87.6 (85.4–89.4)
40+ 3,888 89.0 (87.9–90.0) 78.6 (77.0–80.2) 69.6 (67.1–71.9) -- -- -- -- 3,878 89.0 (87.9–90.0) 78.7 (77.0–80.3) 69.6 (67.1–71.9)
All ages 7,321 92.9 (92.3–93.5) 85.7 (84.7–86.7) 79.6 (78.2–81.0) -- -- -- -- 7,302 92.9 (92.3–93.5) 85.8 (84.8–86.7) 79.7 (78.2–81.0)
Hemangioma 0–14 526 99.6 (98.3–99.9) 98.5 (96.7–99.3) 98.5 (96.7–99.3) -- -- -- -- 526 99.6 (98.3–99.9) 98.5 (96.7–99.3) 98.5 (96.7–99.3)
15–39 2,412 99.6 (99.2–99.8) 98.7 (97.9–99.2) 96.8 (95.1–97.8) -- -- -- -- 2,406 99.7 (99.3–99.9) 98.8 (98.0–99.2) 96.8 (95.2–97.9)
40+ 4,796 96.2 (95.5–96.8) 92.4 (91.1–93.6) 90.7 (88.3–92.7) -- -- -- -- 4,790 96.2 (95.5–96.8) 92.5 (91.1–93.6) 90.8 (88.4–92.7)
All ages 7,734 97.5 (97.1–97.9) 94.9 (94.0–95.6) 93.2 (91.8–94.5) -- -- -- -- 7,722 97.5 (97.1–97.9) 94.9 (94.1–95.6) 93.3 (91.8–94.5)
Neoplasm, unspecified 0–14 1,324 88.1 (86.2–89.8) 84.9 (82.7–86.8) 83.2 (80.8–85.4) 371 64.9 (59.7–69.5) 56.8 (51.3–61.8) 53.5 (47.8–58.8) 998 95.5 (94.0–96.6) 94.0 (92.3–95.4) 93.0 (90.8–94.7)
15–39 3,942 93.5 (92.7–94.2) 90.3 (89.2–91.2) 88.1 (86.8–89.3) 798 79.7 (76.7–82.4) 68.2 (64.6–71.5) 62.9 (58.9–66.6) 3,313 95.9 (95.2–96.5) 94.0 (93.1–94.8) 92.3 (91.0–93.4)
40+ 19,704 54.4 (53.7–55.1) 45.4 (44.6–46.3) 40.4 (39.4–41.5) 9,102 27.6 (26.6–28.5) 17.6 (16.7–18.6) 15.3 (14.3–16.3) 12,289 71.0 (70.1–71.9) 62.3 (61.2–63.4) 55.9 (54.4–57.3)
All ages 24,970 62.6 (62.0–63.2) 54.9 (54.2–55.7) 50.8 (49.9–51.7) 10,271 33.2 (32.2–34.1) 23.2 (22.3–24.2) 20.6 (19.6–21.6) 16,600 77.6 (76.9–78.3) 70.9 (70.0–71.7) 65.9 (64.8–67.0)
All other 0–14 358 88.8 (85.0–91.7) 84.6 (80.2–88.1) 84.6 (80.2–88.1) 117 57.1 (47.3–65.7) 38.0 (28.3–47.6) 36.1 (26.3–46.0) 260 99.7 (95.2–100.0) 99.7 (95.2–100.0) 99.7 (95.2–100.0)
15–39 327 97.9 (95.5–99.0) 93.6 (89.9–96.0) 92.0 (87.0–95.1) -- -- -- -- 300 99.1 (96.8–99.7) 97.4 (94.1–98.9) 95.7 (90.3–98.1)
40+ 503 88.8 (85.1–91.6) 85.8 (80.3–89.9) 76.5 (67.9–83.1) -- -- -- -- 484 89.8 (86.1–92.5) 87.4 (81.7–91.4) 78.3 (69.3–85.0)
All ages 1,188 91.4 (89.5–93.0) 87.6 (85.0–89.8) 83.7 (80.0–86.8) 176 63.9 (56.1–70.7) 41.5 (33.4–49.4) 38.1 (29.8–46.4) 1,044 95.1 (93.3–96.4) 93.6 (91.0–95.5) 89.5 (85.4–92.4)
TOTAL i 0–14 41,565 91.4 (91.1–91.7) 82.8 (82.4–83.2) 80.2 (79.7–80.6) 32,998 87.2 (86.9–87.6) 74.8 (74.3–75.3) 71.5 (71.0–72.1) 13,976 99.0 (98.8–99.1) 97.5 (97.2–97.8) 96.3 (95.9–96.7)
15–39 139,226 96.9 (96.8–97.0) 90.6 (90.5–90.8) 86.4 (86.2–86.7) 48,434 90.6 (90.3–90.8) 71.5 (71.0–71.9) 60.9 (60.4–61.4) 99,195 99.2 (99.1–99.2) 98.2 (98.1–98.3) 96.9 (96.7–97.1)
40+ 702,935 82.7 (82.6–82.8) 72.2 (72.0–72.3) 68.4 (68.2–68.6) 215,000 49.1 (48.8–49.3) 21.0 (20.8–21.2) 16.7 (16.5–16.9) 522,597 94.1 (94.1–94.2) 90.3 (90.2–90.5) 87.0 (86.8–87.3)
All ages 883,726 85.4 (85.3–85.5) 75.7 (75.6–75.8) 72.0 (71.8–72.1) 296,432 60.2 (60.0–60.4) 35.6 (35.4–35.8) 30.5 (30.3–30.7) 635,768 95.0 (95.0–95.1) 91.8 (91.7–91.9) 88.9 (88.7–89.1)

aThe cohort analysis of survival rates was utilized for calculating the survival estimates presented in this table. Long-term cohort-based survival estimates reflect the survival experience of individuals diagnosed over the time period, and they may not necessarily reflect the long-term survival outlook of newly diagnosed cases.

bRates are an estimate of the percentage of patients alive at one, two, five, and ten years, respectively. Rates were not presented for categories with 50 or fewer cases and were suppressed for rates where fewer than 16 cases were surviving within a category.

cAssigned behavior code of /3 (see Table 2).

dAssigned behavior code of /0 or /1 (see Table 2).

eTotal number of cases that occurred within the included NPCR and SEER registries between 2004 and 2017.

fTotal number of cases that occurred within the included NPCR and SEER registries between 2001 and 2017.

gChildren as defined by the National Cancer Institute, see: http://www.cancer.gov/researchandfunding/snapshots/pediatric

hAdolescents and Young Adults (AYA), as defined by the National Cancer Institute, see: http://www.cancer.gov/cancertopics/aya

iTotal includes histologies not listed in this table. missing - Rates were not presented for categories with 50 or fewer cases and were suppressed for rates where fewer than 16 cases were surviving within a category.

* All or some of this histology is included in the CBTRUS definition of gliomas, including ICD-O-3 histology codes 9380–9384, 9391–9460.

** Confidence interval could not be calculated. Abbreviations: CBTRUS, Central Brain Tumor Registry of the United States; NPCR, National Program of Cancer Registries; CI, confidence interval; NOS, not otherwise specified

  • There was large variation in survival estimates depending upon tumor histology; five-year survival rates were 94.7% for pilocytic astrocytoma but were 6.8% for glioblastoma.

  • Survival generally decreased with older age at diagnosis; children and young adults generally had better survival outcomes for most histologies.

  • Among predominantly non-malignant histologies, five-year survival was lowest in craniopharyngioma and meningioma, which had five-year relative survival of 85.8% and 88.2%, respectively.

  • Among predominantly non-malignant histologies, five-year survival was highest in nerve sheath tumors which had five-year relative survival of 99.3%.

  • In general, relative survival in most histologies was higher in adolescents and young adults as compared to children and adults.

Descriptive Summary of Adolescent and Young Adult Primary Brain and Other CNS Tumors (Age 15–39 Years)

  • There were 62,558 primary brain and other CNS tumors diagnosed in AYA between 2014 and 2018, representing 14.5% of all brain and other CNS tumors (Table 7).

  • The overall incidence rate in the AYA age group was 11.82 per 100,000 population. Incidence of malignant tumors was 3.25 per 100,000, and incidence of non-malignant tumors was 8.57 per 100,000 (Table 7).

  • Tumors of the sellar region had the highest incidence (4.28 per 100,000 population) in AYA, followed by tumors of the meninges (2.24 per 100,000 population) (Table 7).

  • The most common histology in AYA was tumors of the pituitary (4.15 per 100,000 population), followed by meningioma (1.93 per 100,000 population) and nerve sheath tumors (1.06 per 100,000 population) (Table 7).

  • The majority of AYA brain and other CNS tumors occurred in the pituitary and craniopharyngeal duct (37.1%), followed by the meninges (15.9%) (Figure 20A).

  • Approximately 17.9% of tumors diagnosed in AYA were located within the frontal, temporal, parietal, and occipital lobes of the brain combined (Figure 20A). Cerebrum, ventricle, cerebellum, and brain stem tumors combined accounted for about 10.1% of all tumors.

  • The predominately non-malignant tumors of the pituitary (35.5%), meningioma (15.6%), and nerve sheath (8.8%) represented over half of CNS tumors diagnosed in AYA (Figure 20B). Glioma accounted for approximately 25.2% of all brain and other CNS tumors in AYA, and about 82.7% of all malignant tumors.

  • AYA had higher rates of relative survival than adults greater than 40 years old for all histologic types. Though 1-year relative survival for most tumor types was higher for AYA than children, 5- and 10-year survival were usually higher for children as compared to AYA (Table 24).

Fig. 20.

Fig. 20.

Distributiona in Adolescents and Young Adultsb (Age 15–39 Years) of All Primary Brain and Other CNS Tumors (Five-Year Total=62,515; Annual Average Cases=12,503) by A) Site and B) Histology, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

Descriptive Summary of Spinal Cord Tumors

Although spinal cord tumors account for a relatively small percentage of brain and other CNS tumors, they result in significant morbidity. The most common histologies found in the spinal cord, spinal meninges, and cauda equina are presented in Figure 21 for both children (age 0–19 years, Figure 21A) and adults (age 20+ years, Figure 21B).

Fig. 21.

Fig. 21.

Distributiona of Primary Spinal Cord, Spinal Meninges, and Cauda Equina Tumors by Histology in A) Children and Adolescents (Age 0–19 Years, Five-Year Total=1,433; Annual Average Cases=287) and B) Adults (Age 20+ Years, Five-Year Total=18,822; Annual Average Cases=3,764), CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014–2018.

  • The predominant histology group for those age 0–19 years was ependymal tumors (17.7%) followed by nerve sheath tumors (17.4%).

  • Meningiomas (37.5%) accounted for the largest proportion of spinal cord tumors among those age 20 years and older.

  • Five-year survival after diagnosis with a tumor of the spinal cord and cauda equina was 92.9%, with a ten-year relative survival of 91.0% (Supplementary Table 7).

Descriptive Summary of Meningioma, Glioblastoma, and Embryonal Tumors

The data in the CBTRUS Statistical Report 2014–2018 are synthesized to describe three of the most common histologic types: meningioma and glioblastoma for adults, and embryonal tumors for children and adolescents.

Meningioma

  • Meningioma was the most frequently reported brain and other CNS tumor, accounting for 39.0% of tumors overall (Table 5).

  • Most meningiomas (81.2%) were located in the cerebral meninges, 4.2% were located in the spinal meninges, and approximately 14% did not have a specific meningeal site listed.

  • Non-malignant meningioma with ICD-O-3 behavior codes /0 (benign) or /1 (uncertain) accounted for 99.0% of meningiomas reported to CBTRUS.

  • Of meningioma with documented WHO grade (65.7%), 35.9% of meningioma were WHO grade I, 8.2% were WHO grade II, and 0.7% were WHO grade III (Table 13).

  • Meningioma was most common in adults age 65 years and older, and one of the least common in children age 0–14 years (Table 8 and Table 9).

  • Incidence of meningioma increased with age, with a dramatic increase after age 65 years. Even among the population age 85 years and older, these rates continued to be high (Table 9).

  • Non-malignant meningiomas overall were 2.3 times more common in females compared to males. Incidence rate ratios were lowest between males and females in persons <20 years old (where incidence rates for males and females were approximately equal), and highest from 35–54, where incidence rates were 3.34 times higher in females (Figure 12, Supplementary Figure 5).

  • Incidence of meningioma was significantly higher in Blacks than in Whites (Figure 14).

  • Ten-year relative survival for malignant meningioma was 67.5%. Age had a large effect on survival after diagnosis with malignant meningioma: 10-year relative survival was 77.3% for the population age 20–44 years, and 39.7% for age 75+ years (Table 24, Supplementary Table 8).

  • Ten-year relative survival for non-malignant meningioma was 83.7%. Age had a large effect on survival after diagnosis with non-malignant meningioma: 10-year relative survival was 93.4% in children 0–14, 94.9% in AYA, and 82.9%in adults 40+ years old (Table 24).

  • Site of meningioma affected survival after diagnosis with meningioma. For non-malignant meningioma, 10-year relative survival was 83.5% for tumors in the cerebral meninges, but 95.6% for tumors in the spinal meninges (Supplementary Figure 6).

  • Survival was also higher in malignant meningioma for spinal tumors, where 10-year relative survival was 71.7%, as compared to 58.3% for tumors in the cerebral meninges (Supplementary Figure 6).

Glioblastoma

  • Glioblastoma was the third most frequently reported CNS histology and the most common malignant tumor overall. (Table 5).

  • Glioblastoma accounted for 14.3% of all primary brain and other CNS tumors and 49.1% of primary malignant brain tumors (Figure 5B, Figure 6B)

  • Glioblastoma was more common in older adults and was less common in children (Table 7); these tumors comprised approximately 2.7% of all brain and other CNS tumors reported among age 0–19 years (Figure 15).

  • Incidence of glioblastoma increased with age, with rates highest in individuals age 75 to 84 years (Table 9).

  • Glioblastoma was 1.6 times more common in males than females (Figure 12).

  • Glioblastoma was 1.98 times higher among Whites compared to Blacks (Figure 14).

  • Relative survival estimates for glioblastoma were quite low; 6.8% of patients survived five years post-diagnosis. These survival estimates were somewhat higher for the small number of patients who were diagnosed under age 20 years (Table 24, Supplementary Table 8).

Embryonal Tumors

  • Embryonal tumors were the most frequently reported brain and other CNS tumor histology in children age 0–4 years, and the fourth most common tumor type overall in children and adolescents age 0–19 years (Table 8, Figure 15).

  • Embryonal tumors accounted for 12.3% of all primary brain and other CNS tumors in children age 0–14 years, 9.4% of tumors in children and adolescents age 0–19 years, and 0.8% of tumors diagnosed overall (Figure 15B, Figure 16B, Table 5).

  • Embryonal tumors within the CBTRUS histologic grouping scheme includes multiple different histologies: primitive neuroectodermal tumor (PNET), medulloblastoma, atypical teratoid rhabdoid tumor (ATRT), and several other histologies (Table 2).

  • Incidence of medulloblastoma decreased with age. Incidence was 0.5 per 100,000 population, 0.61 per 100,000 population, 0.34 per 100,000 population, and 0.16 per 100,000 population in children age groups 0–4, 5–9, 10–14 years, and adolescents age 15–19 years, respectively (Table 8).

  • Incidence of PNET was 0.13 per 100,000 population, 0.05 per 100,000 population, 0.03 per 100,000 population, and 0.03 per 100,000 population in children age 0–4, 5–9, 10–14 years, and adolescents age 15–19 years, respectively (Table 8).

  • Incidence of ATRT was 0.33 per 100,000 population and 0.03 per 100,000 population in children age 0–4 and 5–9 years, respectively. There were too few of these cases in older age groups to report (Table 8).

  • Embryonal tumors were more common in males than females. This difference was greatest in medulloblastoma, which occurred 1.71 times as frequently in males age 0–14 years as compared to females in this age group. Incidence of ATRT and PNET in children age 0–14 years was not significantly different between males and females (Supplementary Figure 7).

Descriptive Summary of Time Trends in Primary Brain and Other CNS Tumors

Time trends in cancer incidence rates are an important measure of the changing burden of cancer in a population over time. Many factors may lead to fluctuations in rates over time, and all of these must be considered when interpreting time trends results. When assessing trends in incidence over time it is critical to use the most recent data available, as delay in reporting may cause small fluctuations in incidence. Time trends analysis methods are used to estimate if the annual percentage change (APC) is significantly different from 0% (meaning no change in incidence from year to year). In addition to assessing statistical significance of changes in incidence over time, the size of this change must also be considered because with datasets as large as CBTRUS very small fluctuations in incidence over time may be statistically significant but not truly represent a large change in proportion of individuals over time.

Incidence rates of cancer overall and many specific cancer histologies, have decreased over time.90 Overall, changes in incidence rates of all primary brain and other CNS tumors between 2000 and 2018 (limited to 2004 and 2018 for non-malignant tumors), have been small. As stated previously, there are many things that can affect incidence rates over time that are not related to ‘true’ changes in incidence of these tumors such as demographic changes, changes in histologic classification, and changes in cancer registration procedures. The latter is especially applicable to the collection of non-malignant brain and other CNS tumors.

All Malignant Brain and Other CNS Tumors

Please see Figure 7B for an overview of histologies included in all malignant brain and other CNS tumors.

  • From 2008–2018, there was a slight decrease in overall incidence (APC= -0.8% [95%CI: -1.0%, -0.6%], Figure 22, Supplementary Table 9).

  • There was a small but statistically significant increase in incidence in children (age 0–14 years, APC=0.6% [95%CI: 0.4%, 0.9%], Figure 22, Supplementary Table 9), a small but statistically significant decrease in AYA (age 15–39 years, APC=-0.4% [95%CI: -0.5%, -0.2%], Figure 22, Supplementary Table 9) from 2000–2018, and a small but statistically significant decrease in older adults from 2005–2016 (age 40+ years, APC=-0.7% [95%CI: -0.9%, -0.5%], Figure 22, Supplementary Table 9).

Fig. 22.

Fig. 22

Annual Age-Adjusted Incidence Rates of All Primary Brain and Other CNS Tumors, and Incidence Trends by Behavior and Age Group at Diagnosis, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2000–2018 (varying).

Glioma

Please see Figure 9B for an overview of histologies included in the broad category of glioma.

  • For all ages, there was a small but significant decrease in incidence of malignant glioma from 2009–2018 (APC= -0.7% [95%CI: -1.0%, -0.5%], Figure 23, Supplementary Table 9).

  • For all ages, there was a small but statistically significant decrease in incidence of diffuse astrocytic and oligodendroglial tumors from 2009–2018 (APC=-0.9% [95% CI: -1.1%, -0.7%], Figure 23, Supplementary Table 10).

  • For all ages, glioblastoma incidence increased significantly from 2000–2004 (APC=1.1% [95% CI:0.1%, 2.1%], Figure 23, Supplementary Table 10) with no significant change in incidence after 2004.

  • For all ages, incidence of other astrocytic tumors increased significantly from 2003–2013 (APC=1.6% [95% CI: 1.1%, 2.1%], Figure 23, Supplementary Table 10), with no significant change from 2013–2018.

  • For all ages, incidence of other gliomas increased significantly from 2000–2018 (APC=1.5% [95% CI: 1.0%, 1.9%], Figure 23, Supplementary Table 9)

  • In children age 0–14 years there was a significant increase in malignant glioma incidence (APC=1.3% [95%CI: 0.8%, 1.7%], Figure 23, Supplementary Table 9) from 2000–2018, and no change in malignant glioma incidence in AYA.

  • In older adults (age 40+ years) malignant glioma incidence was relatively stable: there was a statistically significant decrease from 2007–2018 (APC= -0.8% [95%CI: -0.9%, -0.6%], Figure 23, Supplementary Table 9).

Fig. 23.

Fig. 23

Annual Age-Adjusted Incidence Rates of Primary Brain and Other CNS Gliomas, and Incidence Trends by Age Group at Diagnosis, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2000–2018.

Malignant Meningioma

  • There was a significant decrease in incidence from 2000–2007 (APC= -4.0% [95%CI: -5.8%, -2.1%]) and from 2013–2018 (APC= -6.4% [95%CI: -10.1%, -2.6%], Figure 24B, Supplementary Table 9).

  • Changes were made to histological classification of meningioma in both the 2000 and 2007 revisions of the WHO classification, and gradual uptake of these classification changes may result in changing incidence of these tumors.

Fig. 24.

Fig. 24

Annual Age-Adjusted Incidence Rates of Primary Brain and Other CNS Tumors, and Incidence Trends by Histology for Selected A) Non-Malignant and B) Malignant Histologies, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2000–2018 (varying).

All Non-Malignant Brain and Other CNS Tumors

Please see Figure 8B for an overview of histologies included in all non-malignant brain and other CNS tumors.

  • There was a significant increase in incidence of non-malignant brain tumors from 2004–2009 (APC=5.4% [95%CI: 3.3%, 7.6%], Supplementary Table 11), and no significant change between 2009 and 2018.

  • There was a small but statistically significant increase in incidence of these tumors in children (2004–2014, APC=3.0% [95%CI: 2.2%, 3.9%], Figure 22), in AYA (2004–2011, APC=5.1% [95%CI: 3.4%, 6.8%], Figure 22), and older adults (2004–2009, APC=5.1% [95%CI: 3.2%, 7.1%], Figure 22).

  • When analysis was limited to histologically confirmed tumors only, there was a small but significant increase in incidence of non-malignant brain and other CNS tumors from 2004–2009 (APC=1.7% [95%CI: 0.4%, 3.0%]), followed by a significant decrease from 2009–2018 (APC=-0.9% [95%CI: -1.4%, -0.4%], Supplementary Table 12).

  • There was a statistically significant increase in incidence of radiographically confirmed non-malignant tumors from 2004–2009 (APC=9.9% [95%CI: 6.6%, 13.4%]), with smaller but statistically significant increase from 2009–2018 (APC=1.8% [95%CI: 0.8%, 2.8%], Supplementary Table 12).

  • The increases in incidence in the non-malignant tumors are partially attributable to improved collection of radiographically diagnosed cases as well as improvement in collection of non-malignant cases in general over time.

Non-Malignant Meningioma

  • There was a significant increase of non-malignant meningioma between 2004–2008 (APC=6.0% [95%CI: 3.6%, 8.6%]), followed by a smaller but statistically significant increase from 2008–2018 (APC=1.0% [95%CI: 0.5%, 1.5%], Supplementary Table 11).

  • When analysis was limited to microscopically confirmed cases, there was a slight significant decrease in incidence from 2004–2018 (APC=-0.4% [95%CI: -0.8%, -0.1%], Supplementary Table 12)

  • There was a significant increase in incidence of radiographically diagnosed cases from 2004–2008 (APC=10.8% [95%CI: 7.0%, 14.6%]), and a smaller but still significant change from 2008–2018 (APC=2.3% [95%CI: 1.6%, 2.9%], Supplementary Table 12).

  • The increases in incidence in these non-malignant tumors are partially attributable to improved collection of radiographically diagnosed cases as well as improvement in collection of non-malignant cases in general over time.

Non-Malignant Nerve Sheath Tumors

Vestibular schwannoma (Table 6) is the most common type of nerve sheath tumor, representing 75% of all non-malignant nerve sheath tumors (Figure 7B).

  • There was a small but significant increase in the incidence of non-malignant nerve sheath tumors between 2004–2015 (APC= 1.8% [95%CI: 1.2%, 2.5%]) followed by a significant decrease from 2015–2018 (APC= -4.6% [95%CI: -8.7%, -0.4%], Supplementary Table 11)

  • When analysis was limited to histologically confirmed cases only, there was no significant change in incidence from 2004–2018.

  • There was a significant increase in incidence of radiographically diagnosed tumors between 2004–2006 (APC=13.7% [95%CI: 5.8%, 22.1%]) and 2006–2015 (APC=3.0% [95%CI: 2.3%, 3.7%]), followed by a significant decrease from 2015–2018 (APC=-5.3% [95%CI: -8.0%, -2.6%], Supplementary Table 12).

  • The increases in incidence in these non-malignant tumors are partially attributable to improved collection of radiographically diagnosed cases as well as improvement in collection of non-malignant cases in general over time.

Non-Malignant Tumors of the Pituitary

  • There was a significant increase in non-malignant tumors of the pituitary from 2004–2009 (APC=7.9% [95%CI: 5.2%, 10.6%]), and a smaller but significant increase from 2009–2018 (APC=1.1% [95%CI: 0.2%, 2.0%], Supplementary Table 11).

  • When analysis was limited to histologically confirmed tumors only, there was a significant increase (APC=4.5% [95%CI: 3.5%, 5.6%]) from 2004–2009, followed by a significant decrease from 2009–2018 (APC=-1.5% [95%CI: -1.8%, -1.1%], Supplementary Table 12).

  • There was a significant increase in incidence of radiographically diagnosed tumors of the pituitary from 2004–2012 (APC=9.1% [95%CI: 7.1%, 11.1%], Supplementary Table 12), with no significant change in incidence after 2012.

Strengths and Limitations of Cancer Registry Data

CBTRUS, in collaboration with the CDC and NCI, is the largest population-based registry focused exclusively on primary brain and other CNS tumors in the US and represents cases collected from the entire US population. The CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2014–2018 contains the most up-to-date population-based data on all primary brain tumor and other CNS tumors available through the cancer surveillance system in the US.

Registration of individual cases is conducted by cancer registrars at the institution where diagnosis or treatment occurs and is then transmitted to the CCR, which further transmits this information to NPCR and/or SEER. CCRs, both those contributing data to NPCR and to SEER, only report cases to the CDC and NCI for persons who are residents of that particular state, so duplicate records should not occur for persons who may have traveled across state lines for treatment. As a result, the CBTRUS dataset is a complete recording of all cases for the time period examined, 2014–2018, with minimal duplicates.

Currently, there is no publicly available data source for the collection of survival and outcomes data from all geographic regions in the US via the cancer registry system. Survival data used for this report are collected by NPCR for 42 of the 51 CCR in the US—primarily through linkage with death certificate and other administrative records—and by SEER for the remaining CCR—through both active and passive methods—and the feasibility of these data for use in survival studies has been evaluated91,92 and shown to produce reliable and robust estimates of cancer survival. Use of passive follow-up with record linkage may result in overestimation of survival in some populations, such as those that are more likely to leave the state or country.

No mechanism currently exists for central pathology review of cases within the US cancer registry system, and histology code assignment at case registration is based on histology information contained in the patient’s medical record. The WHO Classification of Tumours of the Central Nervous System was revised in 1993,93 2000,17 2007,18 2016,2 and 2021.94 As of 2018, the US cancer registry system uses the 2016 classification for data abstraction, but tumors included in this report may have been diagnosed using any of the available classifications prior to 2014 due to the variation in adoption of new standards by individual physicians and medical practices. As a result, histologies are reflective of the prevailing criteria for the histology at the time of case registration. This means that despite changes to the histology schema that may occur over time, it is not possible, without additional variables, to go back and reclassify tumors based on the new criteria. In addition to changes in histologic criteria over time, there is significant inter-rater variability in histopathological diagnosis of glioma.95,96 This also means that incomplete, incorrect, or alternatively stated diagnoses included in a pathology report or other medical record may result in an incorrect reporting of the details of an individual case. For example, an anaplastic oligodendroglioma recorded in a pathology record as oligodendroglioma WHO grade III may be incorrectly recorded as an oligodendroglioma when the accurate category is an anaplastic oligodendroglioma.

US cancer registration requires the reporting of cases that are confirmed by different types of diagnostic procedures, including both histologic confirmation (where surgery was performed and the diagnosis confirmed by a pathologist) and radiographic confirmation (where diagnosis was made based solely on imaging criteria, such as an MRI, CT scan, or X-ray). Only histologic confirmation allows certainty on the assignment of a specific histology as well as for an assignment of a WHO grade. Many tumors have unique characteristics that make them identifiable on imaging, and thereby qualify as a valid type of diagnostic procedure, but it is important to consider the decreased level of certainty of specifying the correct histology in these tumors.

CONCLUDING COMMENT

The CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2014–2018 comprehensively describes the most up to date (October 2021) population-based incidence, mortality, and relative survival of primary malignant and non-malignant brain and other CNS tumors collected and reported by central cancer registries covering the entire US population. This report aims to serve as a useful resource for researchers, clinicians, patients, and families. CBTRUS continually revises its reports to reflect the current collection and reporting practices of the broader surveillance community in which it works, while integrating the input it receives from the clinical and research communities, especially from neuropathologists, when possible. In keeping with its mission, CBTRUS has revised its histology grouping to be consistent with the 2016 WHO classification and presents clinically relevant biomarker data for the first time. In this way, CBTRUS facilitates communication between the cancer surveillance and the brain tumor research and clinical communities and contributes meaningful insight into the descriptive epidemiology of all primary brain and other CNS tumors in the US.97

Supplementary Material (Online Only)

Supplementary Table 1. Main and Extended Classification for ICCC Recode ICD-O-3/WHO 2008, based on ICCC, Third Edition based on ICD-O-3/IARC 2017, for Selected Histologies occurring at brain and other CNS sites.1,2

Supplementary Table 2. 2000 U.S. Standard Population

Supplementary Table 3. Average Annual Populationa for 51 Central Cancer Registries (Including 50 States and District of Columbia) for 2014-2018 by Age, Sex, and Race.

Supplementary Table 4. Average Annual Populationa for 51 Central Cancer Registries (Including 50 States and District of Columbia) for 2014-2018 by Age, Sex, and Hispanic Ethnicity.

Supplementary Table 5. Five-Year Total, Annual Average Totala, and Age-Adjusted and Age-Specific Incidence Ratesb with 95% Confidence Intervals for Children and Adolescents (Age 0-19 Years), All Brain and Other Central Nervous System Tumors: Malignant and Non-Malignant by International Classification of Childhood Cancer (ICCC), CBTRUS Statistical Report: U.S. Cancer Statistics - NPCR and SEER, 2014-2018.

Supplementary Table 6. Estimated Number of Casesa,b of Brain and Other Central Nervous System Tumors Overall, by Histologyc, and Age Group at Diagnosis, 2021, 2022.

Supplementary Table 7. One-, Five-, and Ten-Year Relative Survival Ratesa,b (RS) with 95% Confidence Intervals for All Brain and Other Central Nervous System Tumors By Site and Behavior, CBTRUS Statistical Report: NPCR and SEER, 2001-2017 (varying).

Supplementary Table 8. One-, Five-, and Ten-Year Relative Survival Ratesa,b (RS) with 95% Confidence Intervals for All Brain and Other Central Nervous System Tumors By Histology and Behavior, by Age Group at Diagnosis, CBTRUS Statistical Report: NPCR and SEER, 2001-2017 (varying).

Supplementary Table 9. Annual Percent Change (APC) and 95% Confidence Intervals for Malignant Brain and Other Central Nervous System Tumors by Behavior and Age, CBTRUS Statistical Report: U.S. Cancer Statistics - NPCR and SEER, 2000-2018 (varying).

Supplementary Table 10. Annual Percent Change (APC) and 95% Confidence Intervals for Malignant Brain and Other Central Nervous System Tumors by Histology, CBTRUS Statistical Report: U.S. Cancer Statistics - NPCR and SEER, 2000-2018.

Supplementary Table 11. Annual Percent Change (APC) and 95% Confidence Intervals for Non-Malignant Brain and Other Central Nervous System Tumors by Histology, CBTRUS Statistical Report: U.S. Cancer Statistics - NPCR and SEER, 2004-2018.

Supplementary Table 12. Annual Percent Change (APC) and 95% Confidence Intervals for Non-Malignant Brain and Other Central Nervous System Tumors by Diagnostic Confirmation and Histology, CBTRUS Statistical Report: U.S. Cancer Statistics - NPCR and SEER, 2004-2018.

Supplementary Figure 1. Distributiona of Schwannoma (9560/0) by Site (Five-Year Total=33,856; Annual Average Cases=6,771), CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014-2018.

Supplementary Figure 2. Average Annual Age-Adjusted Incidence Ratesa of Malignant and Non-Malignant Primary Brain and Other CNS Tumors Combined by Central Cancer Registry, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014-2018.

Supplementary Figure 3. Distributiona of All Primary Brain and Other CNS Tumors Diagnosed in Puerto Rico by Behavior (Five-Year Total=2,356; Annual Average Cases=471), CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR, 2014-2018.

Supplementary Figure 4. Incidence Rate Ratios by Ethnicity (Non-Hispanic:Hispanic) for Selected Primary Brain and Other CNS Tumor Histologies, CBTRUS Statistical Report: US Cancer Statistics - NPCR and SEER, 2014-2018.

Supplementary Figure 5. Incidence Rate Ratios for Meningioma with 95% Confidence Intervals by Behavior, Sex (Males:Females), and Age Group at Diagnosis, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014-2018.

Supplementary Figure 6. Relative Survival Rates for Meningioma by Behavior and Site, CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR, 2004-2017.

Supplementary Figure 7. Incidence Rate Ratios in Children (Age 0-14 Years) for Selected Embryonal Histologies by Sex (Males:Females), CBTRUS Statistical Report: U.S. Cancer Statistics – NPCR and SEER, 2014-2018.

noab200_suppl_Supplementary-Material

ACKNOWLEDGMENTS

This report was prepared by the CBTRUS Co-Scientific Principal Investigator, Jill Barnholtz-Sloan, Ph.D., National Cancer Institute (NCI) Center for Biomedical Informatics and Information Technology (CBITT) and Division of Cancer Epidemiology and Genetics (DCEG), her research staff affiliated with the Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Co-Scientific Principal Investigator, Quinn Ostrom, Ph.D., M.P.H. from Duke University School of Medicine, and CBTRUS President and Chief Mission Officer Carol Kruchko, collectively known as the CBTRUS Team. The CBTRUS data presented in this report were provided through an agreement with the CDC, NPCR. In addition, CBTRUS used data from the research data files of the NCI, SEER Program. CBTRUS acknowledges and appreciates these contributions to this report and to cancer surveillance in general.

We acknowledge the efforts of the tumor registrars at hospitals and treatment centers, the CCRs, and the staff from the NPCR and SEER programs, whose efforts to collect accurate and complete data have made this report possible. We are also grateful to the four neuropathologists, Drs. Janet Bruner, Roger McLendon, Tarik Tihan, and Daniel Brat, who advised us on the realignment of the CBTRUS histology grouping to the 2016 WHO Classification histology groupings, to our Consulting Neuropathologist, Dr. Janet Bruner, who answered our questions and provided feedback throughout the year, to our Board of Directors and Advisors, and especially Drs. Melissa Bondy, Hoda Anton-Culver, Faith Davis, and to Claudia Smits, LLM, and Reda J, Wilson, M.P.H., CTR.

Glossary

ABBREVIATIONS

AAAIR

Average Annual Age-Adjusted Incidence Rate

AAAMR

Average Annual Age-Adjusted Mortality Rate

ABTA

American Brain Tumor Association

ACVR1

Activin A receptor; type I

AIAN

American Indian/Alaskan Native

AJCC

American Joint Commission on Cancer

APC

Annual Percent Change

API

Asian or Pacific Islander

AYA

Adolescents and Young Adults

ATRT

Atypical Teratoid Rhabdoid Tumor

CBTRUS

Central Brain Tumor Registry of the United States

CCR

Central Cancer Registry

CDC

Centers for Disease Control and Prevention

CS

Collaborative Staging

CI

Confidence Interval

CNS

Central Nervous System

DIPG

Diffuse Intrinsic Pontine Glioma

G-CIMP

glioma-CpG island methylator phenotype

ICD-O-3

International Classification of Diseases for Oncology; Third Edition

ICCC

International Classification of Childhood Cancer

IDH1/2

Isocitrate Dehydrogenase 1/2

MGMT

O-6-Methylguanine-DNA Methyltransferase

NAACCR

North American Association of Central Cancer Registries

NCHS

National Center for Health Statistics

NCI

National Cancer Institute

NOS

Not Otherwise Specified

NPCR

National Program of Cancer Registries

NPCR-CSS

NPCR Cancer Surveillance System

NVSS

National Vital Statistics System

PDGFRA

Platelet-derived Growth Factor Receptor A

PI3KCA

Phosphatidylinositol 3-Kinase Catalytic subunit Alpha

PNET

Primitive Neuroectodermal Tumor

SEER

Surveillance; Epidemiology; and End Results

SHH

Sonic Hedgehog

SSF

Site Specific Factors

TCGA

The Cancer Genome Atlas

TP53

Tumor Protein p53

RUCC

Rural Urban Continuum Codes

UDS

Uniform Data Standards

US

United States

USCS

United States Cancer Statistics

VACCR

Veterans Affairs Central Cancer Registry

VHA

Veteran’s Health Administration

WHO

World Health Organization

WNT

Wingless

CBTRUS Mission

CBTRUS is a not-for-profit corporation committed to providing a resource for gathering and disseminating current epidemiologic data on all primary brain and other central nervous system tumors, benign and malignant, for the purposes of accurately describing their incidence and survival patterns, evaluating diagnosis and treatment, facilitating etiologic studies, establishing awareness of the disease, and ultimately, for the prevention of all brain tumors.

Disclaimer

CBTRUS is a not-for-profit corporation which gathers and disseminates epidemiologic data on primary brain and other central nervous system tumors to facilitate research and establish awareness of the disease. CBTRUS makes no representations or warranties, and gives no other assurances or guarantees, express or implied, with respect to the accuracy or completeness of the data presented. The information provided in this report is not intended to assist in the evaluation, diagnosis, or treatment of individual diseases. Persons with questions regarding individual diseases should contact their own physician to obtain medical assistance. The contents in this report are solely the responsibility of the authors and do not necessarily represent the official views of either the CDC or of the NCI.

The CBTRUS Scientific Team

Jill Barnholtz-Sloan, Ph.D., CBTRUS Co-Scientific Principal Investigator, Associate Director and Senior Investigator, Center for Biomedical Informatics & Information Technology (CBIIT) and Trans Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, MD.

Quinn Ostrom, Ph.D., M.P.H., CBTRUS Co-Scientific -Principal Investigator, Assistant Professor, The Preston Robert Tisch Brain Tumor Center at Duke University Medical Center and Department of Neurosurgery, Duke University School of Medicine, Durham, NC.

Gino Cioffi, M.P.H., Trans Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, MD.

Kristin Waite, Ph.D., Trans Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Bethesda, MD.

The CBTRUS Consulting Neuropathologists

Daniel J. Brat, M.D., Ph.D., Professor and Chair, Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL.

Janet M. Bruner, M.D., MD Anderson Cancer Center, Houston, TX (Retired as of 2020).

Roger E. McLendon, M.D., Professor, The Preston Robert Tisch Brain Tumor Center at Duke University Medical Center and Department of Pathology, Duke University Medical Center, Durham, NC.

Tarik Tihan, M.D., Ph.D., Professor, Neuropathology Division, Department of Pathology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA.

The CBTRUS Board of Directors

Carol Kruchko, President & Chief Mission Officer, Central Brain Tumor Registry of the United States, Hinsdale, IL.

Steven Brem, M.D., Vice President, Chief of Neurosurgical Oncology, Professor, Department of Neurosurgery, Co-Director, Brain Tumor Center, University of Pennsylvania, Philadelphia, PA.

Donald Segal, J.D., Treasurer, Segal McCambridge Singer & Mahoney, Ltd., Chicago, IL.

Fred H. Hochberg, M.D., Visiting Scientist, Department of Neurosurgery, University of California at San Diego, San Diego, CA.

Margaret Wrensch, Ph.D., Professor, Neuroepidemiology Division, Department of Neurological Surgery, School of Medicine, University of California-San Francisco, San Francisco, CA.

L. Lloyd Morgan, Patient Advocate, Berkeley, CA. Emeritus Member as of July 8, 2021.

Darell D. Bigner, M.D., Ph.D. (Emeritus Member), Edwin L. Jones, Jr. and Lucille Finch Jones Cancer Research Professor, Department of Pathology, Emeritus Director, The Preston Robert Tisch Brain Tumor Center, Chief, Preuss Laboratory for Brain Tumor Research, Duke, University Medical Center, Durham, NC.

The CBTRUS Board of Advisors

Hoda Anton-Culver, Ph.D., Distinguished Professor, Department of Medicine; Principal Investigator, All of Us Precision Medicine Research Program; Director, Genetic Epidemiology Research Institute, University of California-Irvine, Irvine, CA.

Melissa Bondy, Ph.D., Professor and Chair, Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA.

Elizabeth B. Claus, M.D., Ph.D., Professor, Departments of Biostatistics and Neurosurgery, Yale University, New Haven, CT, Attending Neurosurgeon, Brigham and Women’s Hospital, Boston, MA.

Jennifer Cullen, Ph.D., Professor, School of Medicine, Case Western Reserve University, Cleveland, OH.

Faith Davis, Ph.D., Professor Emeritus, School of Public Health, University of Alberta, Edmonton, Canada.

Roberta McKean-Cowdin, Ph.D., Associate Professor, Department of Epidemiology, University of Southern California, Los Angeles, CA.

Nancy Stroup, Ph.D., Epidemiologist, retired.

John Villano, M.D., Ph.D., Professor, Division of Medical Oncology, University of Kentucky Markey Cancer Center, Lexington, KY.

Funding

CBTRUS is honored to be included among the research awardees of the following organizations which have contributed to the analyses resulting from the CBTRUS database in 2021: the Centers for Disease Control and Prevention (CDC) under Contract No.75D30119C06056 Amendment /Modification No:00001, the American Brain Tumor Association, Novocure, the Musella Foundation, The Sontag Foundation, National Brain Tumor Society, the Pediatric Brain Tumor Foundation, the Uncle Kory Foundation, and the Zelda Dorin Tetenbaum Memorial Fund as well as private and in kind donations. Contents are solely the responsibility of the authors and do not necessarily represent the official views of either the CDC or of the NCI.

Selected CBTRUS Scientific Publications

Cote DJ, et al. “Glioma incidence and survival variations by county-level socioeconomic measures.” Cancer. 2019 Oct 1;125(19):3390–3400. doi: 10.1002/cncr.32328. PMID: 31206646; PMCID: PMC6744292.

This analysis of glioma incidence and survival based on county-levels of SES identifies a significant association between both increased incidence and improved survival for individuals with glioma in higher SES counties.

Dong M, et al. “Sex Differences in Cancer Incidence and Survival: A Pan-Cancer Analysis.” Cancer Epidemiol Biomarkers Prev. 2020 Jul;29(7):1389–1397. doi: 10.1158/1055-9965.EPI-20-0036. PMID: 32349967.

This analysis uses a pan-cancer approach to interrogate sex differences in cancer incidence and survival, with a special focus on brain and other CNS tumors.

Kruchko C, et al. “Cancer collection efforts in the United States provide clinically relevant data on all primary brain and other CNS tumors.” Neurooncol Pract. 2019 Sep;6(5):330–339. doi: 10.1093/nop/npz029. PMID: 31555447; PMCID: PMC6753356.

A summary of cancer registration efforts and data sources in the United States.

Kruchko C, et al. “The CBTRUS story: providing accurate population-based statistics on brain and other central nervous system tumors for everyone.” Neuro Oncol. 2018 Feb 19;20(3):295–298. doi: 10.1093/neuonc/noy006. PMID: 29471448; PMCID: PMC5817957.

A summary of the history and mission of the Central Brain Tumor Registry of the United States.

Ostrom QT, et al. “Alex’s Lemonade Stand Foundation Infant and Childhood Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2007–2011.” Neuro Oncol. 2015 Jan;16 Suppl 10(Suppl 10):x1-x36. doi: 10.1093/neuonc/nou327. PMID: 25542864; PMCID: PMC4277295.

This special report, funded by Alex’s Lemonade Stand Foundation, presents incidence and survival statistics for children 0–14 using histology groupings that were re-organized to be a more accurate representation of clinical behavior in pediatric brain tumors.

Ostrom QT, et al. “American Brain Tumor Association Adolescent and Young Adult Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2008–2012.” Neuro Oncol. 2016 Jan;18 Suppl 1(Suppl 1):i1-i50. doi: 10.1093/neuonc/nov297. PMID: 26705298; PMCID: PMC4690545.

This special report, funded by the American Brain Tumor Association, presents incidence and survival statistics for adolescents and young adults (ages 15–39).

Ostrom QT, Kruchko C, Barnholtz-Sloan JS. Pilocytic astrocytomas: where do they belong in cancer reporting? Neuro Oncol. 2020 Feb 20;22(2):298–300. doi: 10.1093/neuonc/noz202. PMID: 31637436; PMCID: PMC7442407.

This letter describes the history of inclusion of pilocytic astrocytoma in cancer registry reporting, and the effect of varying behavior classification for these tumors on incidence and survival patterns.

Patil N, et al. “Epidemiology of Brainstem High-Grade Gliomas in Children and Adolescents in the United States, 2000–2017.” Neuro Oncol. 2020 Dec 21:noaa295. doi: 10.1093/neuonc/noaa295. PMID: 33346835.

This manuscript details the descriptive epidemiology, including incidence, survival and prevalence, for gliomas of the brain stem in children and adolescents.

Truitt G, et al. “Partnership for defining the impact of 12 selected rare CNS tumors: a report from the CBTRUS and the NCI-CONNECT.” J Neurooncol. 2019 Aug;144(1):53–63. doi: 10.1007/s11060-019-03215-x. PMID: 31209773.

This analysis, completed in collaboration with the National Cancer Institute’s NCI-CONNECT program, presents incidence, survival, and prevalence estimates for a selection of rare tumor histologies that are the focus of the NCI-CONNECT program.

Wang, G, et al. “Importance of the intersection of age and sex to understand variation in incidence and survival for primary malignant gliomas.” Neuro Oncol.

This manuscript assesses the relationship between age and sex on primary malignant glioma incidence and survival.

Zhang AS, et al. “Complete prevalence of malignant primary brain tumors registry data in the United States compared with other common cancers, 2010.” Neuro Oncol. 2017 May 1;19(5):726–735. doi: 10.1093/neuonc/now252. PMID: 28039365; PMCID: PMC5464453.

This analysis presents a novel statistical method for estimating complete prevalence from geographically-limited cancer survival statistics, and includes age-specific survival estimates for the most common brain and CNS tumor histologies.

References

  • 1. Kruchko C, Ostrom QT, Gittleman H, Barnholtz-Sloan JS. The CBTRUS story: providing accurate population-based statistics on brain and other central nervous system tumors for everyone. Neuro Oncol. 2018;20(3):295–298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Louis DN OH, Wiestler OD, Cavanee WK, ed WHO Classification of Tumours of the Central Nervous System. Lyon, France: International Agency for Research on Cancer; 2016. [Google Scholar]
  • 3. Centers for Disease Control and Prevention (CDC). National Program of Cancer Registries Cancer Surveillance System Rationale and Approach.1999; http://www.cdc.gov/cancer/npcr/pdf/npcr_css.pdf. Accessed July 21, 2020.
  • 4. Wiśniewski JR, Zougman A, Nagaraj N, Mann M. Universal sample preparation method for proteome analysis. Nat Methods. 2009;6(5):359–362. [DOI] [PubMed] [Google Scholar]
  • 5. Benign Brain Tumor Cancer Registries Amendment Act, 107th Cong. § 260 (2002). http://www.gpo.gov/fdsys/pkg/PLAW-107publ260/pdf/PLAW-107publ260.pdf. Accessed July 21, 2020.
  • 6. National Cancer Institute. Overview of the SEER Program. http://seer.cancer.gov/about/overview.html. Accessed July 21, 2020.
  • 7. Walker EV, Davis FG, affiliates Cf. Malignant primary brain and other central nervous system tumors diagnosed in Canada from 2009 to 2013. Neuro Oncol. 2019; 21(3):360–369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Wöhrer A, Waldhör T, Heinzl H, et al. The Austrian Brain Tumour Registry: a cooperative way to establish a population-based brain tumour registry. J Neurooncol. 2009;95(3):401–411. [DOI] [PubMed] [Google Scholar]
  • 9. Asklund T, Malmstrom A, Bergqvist M, Bjor O, Henriksson R. Brain tumors in Sweden: data from a population-based registry 1999–2012. Acta Oncol. 2015; 54(3):377–384. [DOI] [PubMed] [Google Scholar]
  • 10. Centers for Disease Control and Prevention National Center for Health Statistics. National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database: U.S. Cancer Statistics Incidence Analytic Database – 2001–2018. United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the November 2020 submission. 2021. [Google Scholar]
  • 11. Fritz A PC, Jack A, Shanmugaratnam K, Sobin L, Perkin DM, Whelan S ed International Classification of Diseases for Oncology, Third edition: World Health Organization; 2000. [Google Scholar]
  • 12. McCarthy BJ, Surawicz T, Bruner JM, Kruchko C, Davis F. Consensus Conference on Brain Tumor Definition for registration. November 10, 2000. Neuro Oncol. 2002;4(2):134–145. http://www.ncbi.nlm.nih.gov/pubmed/11916506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Surveillance Epidemiology aERSP. ICCC RecodeThird EditionICD-O-3/IARC 2017. 2017; https://seer.cancer.gov/iccc/iccc-iarc-2017.html. Accessed July 1, 2021. [Google Scholar]
  • 14. International Incidence of Childhood Cancer, Volume III. Lyon, France: International Agency for Research on Cancer; 2017. [Google Scholar]
  • 15. Steliarova-Foucher E, Stiller C, Lacour B, Kaatsch P. International Classification of Childhood Cancer, third edition. Cancer. 2005;103(7):1457–1467. [DOI] [PubMed] [Google Scholar]
  • 16. Swerdlow SH, Campo E, Harris NL, et al. WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues, Fourth Edition: World Health Organization; 2007. [Google Scholar]
  • 17. Kleihues P, Cavenee W, eds. Tumours of the nervous system: World Health Organization classification of tumours. Lyon, France: IARC Press; 2000. [Google Scholar]
  • 18. Louis D, Wiestler O, Cavanee W, eds. WHO Classification of Tumours of the Central Nervous System. Lyon, France: International Agency for Research on Cancer; 2007. [Google Scholar]
  • 19. American Joint Committee on Cancer. Collaborative Stage Data Collection System Version 02.05. 2020; https://cancerstaging.org/cstage/schema/Pages/version0205.aspx. Accessed July 12, 2020.
  • 20. Ostrom QT, Gittleman H, Kruchko C, et al. Completeness of required site-specific factors for brain and CNS tumors in the Surveillance, Epidemiology and End Results (SEER) 18 database (2004–2012, varying). J Neurooncol. 2016; 130(1):31–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Lym RL, Ostrom QT, Kruchko C, et al. Completeness and concordancy of WHO grade assignment for brain and central nervous system tumors in the United States, 2004–2011. Journal of neuro-oncology. 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Surveillance Research Program - National Cancer Institute. ICD-0–3 SEER Site/Histology Validation List. 2019; https://seer.cancer.gov/icd-o-3/sitetype.icdo3.20190618.pdf. Accessed July 14, 2020.
  • 23. Ostrom QT, Gittleman H, Liao P, et al. CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2007–2011. Neuro Oncol. 2014; 16(s4):iv1–iv63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Ferlay J, Rous B. Histological groups. In: Bray F, Colombet M, Ferlay J, et al. , eds. Cancer Incidence in Five Continents Volume XI 2019. [Google Scholar]
  • 25. Surveillance Epidemiology and End Results (SEER) Program. Solid Tumor Rules: Non-Malignant CNS2019; https://seer.cancer.gov/tools/solidtumor/Non_Malignant_CNS_STM.pdf. Accessed July 21, 2020.
  • 26. Ostrom QT, Kruchko C, Barnholtz-Sloan JS. Pilocytic astrocytomas: where do they belong in cancer reporting? Neuro Oncol. 2020;22(2):298–300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Surveillance Epidemiology and End Results (SEER) Program. SEER*Stat Database: Mortality - All COD, Aggregated With State, Total U.S. (1969–2018) <Katrina/Rita Population Adjustment>, National Cancer Institute, DCCPS, Surveillance Research Program, released December 2020 Underlying mortality data provided by NCHS (www.cdc.gov/nchs). 2020.
  • 28. Standards for Cancer Registries Volume III: Standards for Completeness, Quality, Analysis, Management, Security and Confidentiality of Data. 2008; https://www.naaccr.org/wp-content/uploads/2016/11/Standards-for-Completeness-Quality-Analysis-Management-Security-and-Confidentiality-of-Data-August-2008PDF.pdf. Accessed July 21, 2020.
  • 29. Bray F, Ferlay J. Data Comparability and Quality. Cancer Incidence in Five Continents, Vol. XI (electronic version) 2017; https://ci5.iarc.fr/CI5-XI/Pages/Chapter5.aspx. Accessed July 21, 2020. [Google Scholar]
  • 30. R Core Team. R: A language and environment for statistical computing. 2021; http://www.R-project.org/. Accessed April 20, 2021.
  • 31. Surveillance Epidemiology and End Results (SEER) Program. SEER*Stat software version 8.3.9.2020; www.seer.cancer.gov/seerstat. Accessed April 7, 2021.
  • 32. Luo J. SEER2R: reading and writing SEER*STAT data files. R package version 1.0.2012; http://CRAN.R-project.org/package=SEER2R. Accessed July 21, 2020.
  • 33. Gohel D, Hangler F, Sander L, et al. officer: Manipulation of Microsoft Word and PowerPoint Documents. 2020; https://cloud.r-project.org/web/packages/officer/index.html. Accessed July 21, 2020.
  • 34. Gohel D, Fazilleau Q, Nazarov M, Robert T, Barrowman M, Yasumoto A. flextable: Functions for Tabular Reporting. 2020; https://davidgohel.github.io/flextable/. Accessed July 21, 2020.
  • 35. Hočevar T, Demšar J. Computation of Graphlet Orbits for Nodes and Edges in Sparse Graphs. 2016. 2016; 71(10):24. [Google Scholar]
  • 36. Wickham H, Averick M, Bryan J, et al. Welcome to the Tidyverse. Journal of Open Source Software,. 2019; 4(43):1686. [Google Scholar]
  • 37. Sievert C. Interactive Web-Based Data Visualization with R, plotly, and shiny. 2020; https://plotly-r.com. Accessed July 21, 2020.
  • 38. Xie Y. knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.29.2020; https://yihui.org/knitr/. Accessed July 21, 2020.
  • 39. Walker K, Rudis B. tigris: Load Census TIGER/Line Shapefiles.2020; https://github.com/walkerke/tigris. Accessed July 21, 2020.
  • 40. Kassambara A, Kosinski M, Biecek P, Fabian S. survminer: Drawing Survival Curves using ‘ggplot2’.2020; https://rpkgs.datanovia.com/survminer/index.html. Accessed July 21, 2020.
  • 41. Pebesma E. Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal. 2018; 10(1):439–446. [Google Scholar]
  • 42. NAACCR Race and Ethnicity Work Group. NAACCR Guideline for Enhancing Hispanic/Latino Identification: Revised NAACCR Hispanic/Latino Identification Algorithm [NHIA v2.2.1]. . September 2012; https://www.naaccr.org/wp-content/uploads/2016/11/NHIA-v2.2.1.pdf. Accessed July 21, 2020.
  • 43. Surveillance Epidemiology and End Results (SEER) Program. SEER*Stat Database: Populations - Total U.S. (1990–2019) - Linked To County Attributes - Total U.S., 1969–2019 Counties, National Cancer Institute, DCCPS, Surveillance Research Program, released December 2020. 2020; http://seer.cancer.gov/popdata/.
  • 44. Tiwari RC, Clegg LX, Zou Z. Efficient interval estimation for age-adjusted cancer rates. Statistical methods in medical research. 2006;15(6):547–569. http://www.ncbi.nlm.nih.gov/pubmed/17260923. [DOI] [PubMed] [Google Scholar]
  • 45. Fay MP, Tiwari RC, Feuer EJ, Zou Z. Estimating average annual percent change for disease rates without assuming constant change. Biometrics. 2006;62(3):847–854. [DOI] [PubMed] [Google Scholar]
  • 46. Joinpoint Regression Program, Version 4.9.0.0; Statistical Methodology and Applications Branch, Surveillance Research Program, National Cancer Institute. 2021; https://surveillance.cancer.gov/joinpoint/. Accessed June 14, 2021.
  • 47. Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000;19(3):335–351. [DOI] [PubMed] [Google Scholar]
  • 48. Zhu L, Pickle LW, Ghosh K, et al. Predicting US- and state-level cancer counts for the current calendar year: Part II: evaluation of spatiotemporal projection methods for incidence. Cancer. 2012;118(4):1100–1109. [DOI] [PubMed] [Google Scholar]
  • 49. Surveillance Epidemiology and End Results (SEER) Program. SEER*Stat Database: Mortality - All COD, Aggregated With State, Total U.S. (1969–2018) <Katrina/Rita Population Adjustment>, National Cancer Institute, DCCPS, Surveillance Research Program, released December 2020. Underlying mortality data provided by NCHS; (www.cdc.gov/nchs). 2020. [Google Scholar]
  • 50. Edwards BK, Noone AM, Mariotto AB, et al. Annual Report to the Nation on the status of cancer, 1975–2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer. Cancer. 2014; 120(9):1290–1314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Zullig LL, Jackson GL, Dorn RA, et al. Cancer incidence among patients of the U.S. Veterans Affairs Health Care System. Mil Med. 2012;177(6):693–701. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Clegg LX, Feuer EJ, Midthune DN, Fay MP, Hankey BF. Impact of reporting delay and reporting error on cancer incidence rates and trends. Journal of the National Cancer Institute. 2002;94(20):1537–1545. http://www.ncbi.nlm.nih.gov/pubmed/12381706. [DOI] [PubMed] [Google Scholar]
  • 53. Midthune DN, Fay MP, Clegg LX, Feuer EJ. Modeling Reporting Delays and Reporting Corrections in Cancer Registry Data. Journal of the American Statistical Association. 2005; 100(469):61–70. [Google Scholar]
  • 54. Surveillance Epidemiology and End Results (SEER) Program. Cancer Incidence Rates Adjusted for Reporting Delay. 2020; http://surveillance.cancer.gov/delay/. Accessed July 21, 2020.
  • 55. Li XR, Kruchko C, Wu XC, et al. Are Benign and Borderline Brain Tumors Underreported? J Registry Manag. 2016;43(4):187–194. [PubMed] [Google Scholar]
  • 56. Anderson RN, Rosenberg HM. Report of the Second Workshop on Age Adjustment. Vital and health statistics. Ser. 4, Documents and committee reports. 1998(30):I-vi, 1–37. [PubMed] [Google Scholar]
  • 57. Anderson RN, Rosenberg HM. Age standardization of death rates: implementation of the year 2000 standard. National vital statistics reports: from the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System. 1998; 47(3):1–16, 20. [PubMed] [Google Scholar]
  • 58. L. D, Johnson C, Adams S, Negoita S. Solid Tumor Rules.2018; https://seer.cancer.gov/tools/solidtumor/. Accessed July 21, 2020.
  • 59. Johnson C, Peace S, Adamo P, Fritz A, Percy-Laurry A, Edwards B.. The 2007 Multiple Primary and Histology Coding Rules. Bethesda, MD: National Cancer Institute; 2007. [Google Scholar]
  • 60. Ostrom QT, Gittleman H, Kruchko C, et al. Completeness of required site-specific factors for brain and CNS tumors in the Surveillance, Epidemiology and End Results (SEER) 18 database (2004–2012, varying). Journal of neuro-oncology. 2016; 130(1):31–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Reifenberger G, Wirsching HG, Knobbe-Thomsen CB, Weller M. Advances in the molecular genetics of gliomas - implications for classification and therapy. Nat Rev Clin Oncol. 2017;14(7):434–452. [DOI] [PubMed] [Google Scholar]
  • 62. Cairncross JG, Ueki K, Zlatescu MC, et al. Specific genetic predictors of chemotherapeutic response and survival in patients with anaplastic oligodendrogliomas. J Natl Cancer Inst. 1998;90(19):1473–1479. [DOI] [PubMed] [Google Scholar]
  • 63. Cairncross G, Wang M, Shaw E, et al. Phase III trial of chemoradiotherapy for anaplastic oligodendroglioma: long-term results of RTOG 9402. J Clin Oncol. 2013;31(3):337–343. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Vogelbaum MA, Hu C, Peereboom DM, et al. Phase II trial of pre-irradiation and concurrent temozolomide in patients with newly diagnosed anaplastic oligodendrogliomas and mixed anaplastic oligoastrocytomas: long term results of RTOG BR0131. J Neurooncol. 2015;124(3):413–420. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. van den Bent MJ, Brandes AA, Taphoorn MJ, et al. Adjuvant procarbazine, lomustine, and vincristine chemotherapy in newly diagnosed anaplastic oligodendroglioma: long-term follow-up of EORTC brain tumor group study 26951. J Clin Oncol. 2013;31(3):344–350. [DOI] [PubMed] [Google Scholar]
  • 66. Eckel-Passow JE, Lachance DH, Molinaro AM, et al. Glioma Groups Based on 1p/19q, IDH, and TERT Promoter Mutations in Tumors. N Engl J Med. 2015;372(26):2499–2508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Yan H, Parsons DW, Jin G, et al. IDH1 and IDH2 mutations in gliomas. N Engl J Med. 2009;360(8):765–773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. The Cancer Genome Atlas Research Network, Brat DJ, Verhaak RG, et al. Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas. New England Journal of Medicine. 2015; 372(26):2481–2498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Qi S, Yu L, Li H, et al. Isocitrate dehydrogenase mutation is associated with tumor location and magnetic resonance imaging characteristics in astrocytic neoplasms. Oncol Lett. 2014;7(6):1895–1902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Paldor I, Pearce FC, Drummond KJ, Kaye AH. Frontal glioblastoma multiforme may be biologically distinct from non-frontal and multilobar tumors. J Clin Neurosci. 2016;34:128–132. [DOI] [PubMed] [Google Scholar]
  • 71. Ceccarelli M, Barthel FP, Malta TM, et al. ; TCGA Research Network . Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma. Cell. 2016;164(3):550–563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Hegi ME, Diserens AC, Gorlia T, et al. MGMT gene silencing and benefit from temozolomide in glioblastoma. N Engl J Med. 2005;352(10):997–1003. [DOI] [PubMed] [Google Scholar]
  • 73. Hegi ME, Liu L, Herman JG, et al. Correlation of O6-methylguanine methyltransferase (MGMT) promoter methylation with clinical outcomes in glioblastoma and clinical strategies to modulate MGMT activity. J Clin Oncol. 2008;26(25):4189–4199. [DOI] [PubMed] [Google Scholar]
  • 74. Stupp R, Hegi ME, Gilbert MR, Chakravarti A. Chemoradiotherapy in malignant glioma: standard of care and future directions. J Clin Oncol. 2007;25(26):4127–4136. [DOI] [PubMed] [Google Scholar]
  • 75. Noushmehr H, Weisenberger DJ, Diefes K, et al. ; Cancer Genome Atlas Research Network . Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma. Cancer Cell. 2010;17(5):510–522. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. van den Bent MJ, Erdem-Eraslan L, Idbaih A, et al. MGMT-STP27 methylation status as predictive marker for response to PCV in anaplastic Oligodendrogliomas and Oligoastrocytomas. A report from EORTC study 26951. Clin Cancer Res. 2013;19(19):5513–5522. [DOI] [PubMed] [Google Scholar]
  • 77. Jones C, Baker SJ. Unique genetic and epigenetic mechanisms driving paediatric diffuse high-grade glioma. Nature reviews. Cancer. 2014; 14(10). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Wu G, Diaz AK, Paugh BS, et al. The genomic landscape of diffuse intrinsic pontine glioma and pediatric non-brainstem high-grade glioma. Nat Genet. 2014;46(5):444–450. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Mackay A, Burford A, Carvalho D, et al. Integrated Molecular Meta-Analysis of 1,000 Pediatric High-Grade and Diffuse Intrinsic Pontine Glioma. Cancer Cell. 2017; 32(4):520– 537 e525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Hoffman LM, DeWire M, Ryall S, et al. Spatial genomic heterogeneity in diffuse intrinsic pontine and midline high-grade glioma: implications for diagnostic biopsy and targeted therapeutics. Acta Neuropathol Commun. 2016;4:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Grill J, Puget S, Andreiuolo F, Philippe C, MacConaill L, Kieran MW. Critical oncogenic mutations in newly diagnosed pediatric diffuse intrinsic pontine glioma. Pediatr Blood Cancer. 2012;58(4):489–491. [DOI] [PubMed] [Google Scholar]
  • 82. Lapin DH, Tsoli M, Ziegler DS. Genomic Insights into Diffuse Intrinsic Pontine Glioma. Front Oncol. 2017;7:57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Kool M, Korshunov A, Remke M, et al. Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas. Acta Neuropathol. 2012;123(4):473–484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Northcott PA, Dubuc AM, Pfister S, Taylor MD. Molecular subgroups of medulloblastoma. Expert Rev Neurother. 2012;12(7):871–884. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Northcott PA, Jones DT, Kool M, et al. Medulloblastomics: the end of the beginning. Nat Rev Cancer. 2012;12(12):818–834. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86. Northcott PA, Buchhalter I, Morrissy AS, et al. The whole-genome landscape of medulloblastoma subtypes. Nature. 2017;547(7663):311–317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Ostrom QT, Rubin JB, Lathia JD, Berens ME, Barnholtz-Sloan JS. Females have the survival advantage in glioblastoma. Neuro Oncol. 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Ostrom QT, Cote DJ, Ascha M, Kruchko C, Barnholtz-Sloan JS. Adult Glioma Incidence and Survival by Race or Ethnicity in the United States From 2000 to 2014. JAMA oncology. 2018; 4(9):1254–1262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Gittleman H, Ostrom QT, Stetson LC, et al. Sex is an important prognostic factor for glioblastoma but not for nonglioblastoma. Neurooncol Pract. 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin. 2019;69(1):7–34. [DOI] [PubMed] [Google Scholar]
  • 91. Weir HK, Johnson CJ, Mariotto AB, et al. Evaluation of North American Association of Central Cancer Registries’ (NAACCR) data for use in population-based cancer survival studies. J Natl Cancer Inst Monogr. 2014;2014(49):198–209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Wilson RJ, O’Neil ME, Ntekop E, Zhang K, Ren Y. Coding completeness and quality of relative survival-related variables in the National Program of Cancer Registries Cancer Surveillance System, 1995–2008. J Registry Manag. 2014; 41(2):65–71; quiz 96-67. [PMC free article] [PubMed] [Google Scholar]
  • 93. Kleihues P, Burger PC, Scheithauer BW. The new WHO classification of brain tumours. Brain Pathol. 1993;3(3):255–268. [DOI] [PubMed] [Google Scholar]
  • 94. Louis DN, Perry A, Wesseling P, et al. The 2021 WHO Classification of Tumors of the Central Nervous System: a summary. Neuro Oncol. 2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. van den Bent MJ. Interobserver variation of the histopathological diagnosis in clinical trials on glioma: a clinician’s perspective. Acta Neuropathol. 2010;120(3):297–304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Aldape K, Simmons ML, Davis RL, et al. Discrepancies in diagnoses of neuroepithelial neoplasms: the San Francisco Bay Area Adult Glioma Study. Cancer. 2000;88(10):2342–2349. [PubMed] [Google Scholar]
  • 97. Kruchko C, Gittleman H, Ruhl J, et al. Cancer collection efforts in the United States provide clinically relevant data on all primary brain and other CNS tumors. Neurooncol Pract. 2019;6(5):330–339. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

noab200_suppl_Supplementary-Material

Articles from Neuro-Oncology are provided here courtesy of Society for Neuro-Oncology and Oxford University Press

RESOURCES