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. Author manuscript; available in PMC: 2020 Apr 15.
Published in final edited form as: Clin Cancer Res. 2019 Jan 11;25(8):2656–2663. doi: 10.1158/1078-0432.CCR-18-3101

The Misclassification of Diffuse Gliomas: Rates and Outcomes

J Bryan Iorgulescu 1,4, Matthew Torre 1,2, Maya Harary 2,3, Timothy R Smith 2,3, Ayal Aizer 2,5, David A Reardon 2,6, Jill S Barnholtz-Sloan 7, Arie Perry 8
PMCID: PMC6467794  NIHMSID: NIHMS1518712  PMID: 30635340

Abstract

Background:

The integrated histopathological and molecular diagnoses of the 2016 WHO classification of CNS tumors have revolutionized patient care by improving diagnostic accuracy and reproducibility; however, the frequency and consequences of misclassification of histologically-diagnosed diffuse gliomas are unknown.

Methods:

Patients with newly-diagnosed ICD-O-3 histologically-encoded diffuse gliomas from 2010-2015 were identified from the National Cancer Database—the misclassification rates and overall survival (OS) of which were assessed by WHO grade and 1p/19q status. Additionally, misclassification rates by IDH, ATRX, and p53 statuses were examined in an analogous multi-institutional cohort of registry-encoded diffuse gliomas.

Results:

Of 74,718 diffuse glioma patients, only 74.4% and 78.8% of molecularly-characterized WHO grade II and III oligodendrogliomas were in fact 1p/19q-codeleted. Additionally, 28.9% and 36.8% of histologically-encoded grade II and III “oligoastrocytomas”, and 6.3% and 8.8% of grade II and III astrocytomas had 1p/19q-codeletion, thus molecularly representing oligodendrogliomas if also IDH-mutant. OS significantly depended on accurate WHO grading and 1p/19q status.

Conclusions:

Based on 1p/19q, IDH, ATRX, and p53, the misclassification rates of histologically-encoded oligodendrogliomas, astrocytomas, and glioblastomas are ~21-35%, ~6-9%, and ~9%, respectively; with significant clinical implications. Our findings suggest that when compared to historical histology-only classified data—in national registry, as well as, institutional databases—there is the potential for false-positive results in contemporary trials of molecularly-classified diffuse gliomas, which could contribute to a seemingly positive phase II trial (based on historical comparison) failing at the phase III stage. Critically, findings from diffuse glioma clinical trials and historical cohorts using prior histology-only WHO schemes must be cautiously re-interpreted.

Keywords: Diffuse Glioma, Molecular Classification, Astrocytoma, Oligodendroglioma, Glioblastoma, Outcomes

INTRODUCTION

The molecular characterization for a spectrum of cancer types has revolutionized oncologic diagnostics and therapeutics and is increasingly becoming a critical component of clinical care for cancer patients. In 2016, the World Health Organization (WHO) histological classification of tumors of the central nervous system (CNS; 4th edition) was revised to synthesize our growing understanding of the molecular basis of CNS tumors—principally made possible by advances in next-generation sequencing and gene expression analysis—with histology into a diagnostic and prognostic classification scheme that is more objective and accurate.(1) The changes have been particularly groundbreaking for diffuse gliomas (i.e. gliomas with a diffusely infiltrative pattern of growth) for which IDH1/IDH2 gene mutational status and the presence or absence of chromosomal whole-arm codeletion of 1p and 19q have important prognostic and therapeutic implications.(2) The accurate diagnosis of diffuse gliomas faces several challenges, including an overlapping spectrum of histomorphologies and substantial intratumoral histologic heterogeneity. These challenges can commonly be compounded by tumor under-sampling and the limited specimen available for evaluation due to the surgical complexity of safely accessing many of these tumors. As a result, relying on histology alone for the classification of diffuse gliomas can lead to erroneous diagnoses. In addition to CNS tumors, molecular markers are now critical for the accurate diagnosis and treatment of hematopoietic and lymphoid, soft tissue and bone, renal, melanoma, lung, and various other malignancies; each accompanied by major recent revisions to their WHO classification schema.(35)

In an effort to systematically collect cancer patient data in the United States, including that of glioma patients, cancer registry reporting standards were developed and employed by North American Association of Central Cancer Registries, including the American College of Surgeons’ National Cancer Database program (NCDB), the National Cancer Institute’s Surveillance, Epidemiology, and End Results program, and the Center for Disease Control’s National Program for Cancer Registries and Central Brain Tumor Registry of the United States.(68) These cancer registries, crucially, have vastly improved our understanding of cancer epidemiology, but have lagged in incorporation of key molecular drivers for a range of cancer types. U.S. cancer registries encode cancer diagnoses using WHO/IARC International Classification of Diseases for Oncology (ICD-O) v3—the codes and histologic definitions of which were defined in the WHO International Histological Classification of Tumours “Blue Books” published through 2010 (i.e. through the 4th edition).(9) For CNS tumors, the 4th edition was published in 2007 and classified diffuse gliomas solely based on their histological appearances.(10) Consequently, cancer registry data cannot presently differentiate between IDH-mutant and IDH-wildtype diffuse gliomas. Additionally, many of the key clinical trials of diffuse gliomas, as well as studies using historical cohorts, relied on older histology-only classification schemes. Nevertheless, the magnitude of potential coding errors and diagnostic misinterpretations in these databases are not fully appreciated or taken into consideration.(1127) Herein, we examine the accuracies of cancer registry-encoded diffuse gliomas by WHO grade and 1p/19q status, in addition to IDH, ATRX and p53 status; we explore the associations between misclassification, tumor characteristics, and survival outcomes; and we demonstrate the important need for incorporating molecular data into registries, historical cohorts, and clinical trials of cancer patients.

METHODS

The NCDB, a hospital-based nationwide cancer database, comprises >70% of newly-diagnosed cancers in the U.S. Patients with newly-diagnosed diffuse gliomas between 2010 and 2015 were identified by ICD-O-3 histological codes coupled with a “/3” malignant behavior code as presented in Table 1, inclusive of all brain site codes (i.e. 71.0-71.9). Patients were excluded if previously diagnosed with cancer or if they were diagnosed at an index institution but received treatment entirely elsewhere. Primary brain-specific factors included the loss of heterozygosity (LOH)/deletion of chromosome arms 1p and 19q (first encoded in 2010) and WHO grade. Cases were designated as 1p/19q-codeleted if both arms were coded for LOH/deletion, although the methodology utilized for this determination was not recorded in the NCDB.

TABLE 1.

Diffuse Glioma ICD-O-3 Coding and Histologies Presently Available in Registry-Derived Databases from 2010 to 2015 (i.e. pre-WHO 2016 Classification)

ICD-O-3
Code/Behavior
ICD-O-3 Histology n % with
WHO
grade
% with 1p/19q
codeletion
data
9380/3 Glioma, malignant 3,956 23.2 4.0
9381/3 Gliomatosis cerebri 217 49.8 6.9
9382/3 Mixed glioma 2,688 94.8 43.0
9400/3 Astrocytoma, NOS 5,135 81.4 11.9
9401/3 Astrocytoma, anaplastic 5,977 94.2 15.2
9410/3 Protoplasmic astrocytoma 20 95.0 10.0
9411/3 Gemistocytic astrocytoma 436 93.3 12.2
9420/3 Fibrillary astrocytoma 924 93.2 8.7
9440/3 Glioblastoma, NOS 48,730 82.8 5.4
9441/3 Giant cell glioblastoma 422 90.3 5.2
9442/3 Gliosarcoma 1,177 89.2 3.7
9450/3 Oligodendroglioma, NOS* 3,456 91.9 44.9
9451/3 Oligodendroglioma, anaplastic 1,580 95.7 46.7
Total 74,718 81.8 10.7

“/3” behavior code designates a malignant tumor; NOS: Not otherwise specified;

*

In ICD-O-3, this diagnosis is synonymous with oligodendroglioma, diffuse.

In order to evaluate the accuracy of diagnoses based on additional molecular alterations, 150 diffuse glioma patients (25 per year, from 2010 to 2015) were randomly queried from the cancer registry-submitted data from each of three tertiary care institutions (Brigham and Women’s Hospital, Dana-Farber Cancer Center, and Massachusetts General Hospital) using ICD-O-3 codes. The neuropathologist-assigned integrated diagnosis and WHO grade were evaluated for each of the 450 patients, along with the status of 1p/19q, IDH, ATRX, and p53, as determined by immunohistochemistry and/or molecular assays (e.g. next generation sequencing panels, array comparative genomic hybridization, and fluorescence in situ hybridization).

Statistical Analyses

The clinicopathologic factors of age at diagnosis, histology, tumor location, 1p/19q status, and WHO grade were summarized and then compared by χ2 test, t-test, and ANOVA as appropriate. The primary outcome was concordance rate between the histological classification of diffuse gliomas and their encoded WHO grade and 1p/19q molecular status. Unadjusted differences in overall survival (OS) were estimated by Kaplan-Meier methods and compared by log-rank tests. The NCDB excludes survival data for patients diagnosed in the final year of the dataset due to limited follow-up, which for this release was 2015. OS was measured from date of diagnosis with the endpoint assigned as date of death, with patients censored at the date of most recent follow-up. The end date for follow-up in this release was 12/31/2015. A secondary outcome was the concordance rate between the histological classification of institutional cases included in the cancer registry and their corresponding neuropathologist-assigned integrated histological and molecular diagnoses. Statistical analyses were conducted using STATA (v. 14.2, StataCorp), with 2-sided p-values <0.05 denoted as significant. This study was approved by the Partners HealthCare institutional review board (2015P002352).

RESULTS

Diffuse Gliomas Often Demonstrate Discordance between Histological Diagnosis and WHO Grade

From 2010 to 2015 NCDB data, there were 74,718 patients newly-diagnosed with diffuse gliomas following exclusion (Table 1). For ICD-O-3-encoded diffuse oligodendrogliomas and astrocytomas (i.e. grade II), only 86.3% (n=2,742) and 65.7% (n=2,748) were coded as WHO grade II (Table 2). In anaplastic oligodendrogliomas and astrocytomas (i.e. grade III), the concordance rates between ICD-O-3 coding and WHO grade improved to 90.0% (n=1,361) and 90.4% (n=5,090), respectively. The age at diagnosis and OS significantly differed between WHO grades for each ICD-O-3-encoded oligodendroglioma and astrocytoma group: diffuse oligodendrogliomas and astrocytomas that were in fact coded as WHO grade II demonstrated significantly improved OS and younger age at diagnosis than those that were coded as WHO grade III (both p<0.001). The highest concordance rate (98.7%, n=39,828) between ICD-O-3 coding and WHO grade was observed in glioblastomas (GBMs, grade IV).

TABLE 2.

Discordance between ICD-O-3 Histological Diagnosis and WHO Grade in Diffuse Gliomas

ICD-O-3
Histology
Have
WHO
grade (n)
WHO
grade
n % Age (years) Overall Survival (months)
Median IQR p-
value*
5 yr-
OS
95% CI p-
value**
Diffuse OG 3,176 I 51 1.6 36 (22-52) <0.001 87.2 (71.9-94.5) <0.001
II 2,742 86.3 41 (32-51) 88.1 (86.1-89.8)
III 241 7.6 47 (36-57) 61.2 (51.2-69.8)
IV 142 4.5 56 (46-66) 31.2 (22.5-40.2)
Anaplastic OG 1,512 I 2 0.1 46 (42-50) 0.01 no observations <0.001
II 25 1.7 39 (28-54) 65.3 (34.6-84.3)
III 1,361 90.0 48 (38-58) 69.6 (65.9-72.9)
IV 124 8.2 51 (41-60) 37.9 (25.0-50.7)
Diffuse AC 4,182 I 170 4.1 31 (18-49) <0.001 77.5 (68.8-84.1) <0.001
II 2,748 65.7 40 (29-55) 63.8 (61.4-66.0)
III 760 18.2 52 (38-64) 29.3 (25.7-32.9)
IV 504 12.1 62 (52-70) 9.8 (7.1-13.0)
Anaplastic AC 5,628 I 5 0.1 41 (34-72) <0.001 53.3 (6.8-86.3) <0.001
II 51 0.9 39 (27-58) 57.1 (36.1-73.5)
III 5,090 90.4 50 (35-64) 33.3 (31.5-35.2)
IV 482 8.6 54 (40-67) 18.8 (14.4-23.7)
Glioblastoma 40,333 I 83 0.2 62 (51-71) 0.008 10.6 (2.7-24.9) 0.08
II 66 0.2 60 (46-69) 10.8 (2.5-26.0)
III 356 0.9 62 (53-72) 9.6 (5.7-14.5)
IV 39,828 98.7 62 (54-71) 7.6 (7.1-8.0)
**

p-value from a log-rank test using Kaplan-Meier survival analysis

*

p-value from an ANOVA test;

OG: oligodendroglioma, AC: astrocytoma, IQR: interquartile range, OS: overall survival, CI: confidence interval;

Diffuse Gliomas Often Demonstrate Discordance between Histological Diagnosis and 1p/19q-codeletion Status

The 2016 WHO recognized that 1p/19q-codeletion in combination with IDH mutation is a pathognomonic feature of oligodendrogliomas, with clinical guidelines therefore recommending molecular testing for all diffuse gliomas. For cases with known 1p/19q status, only 74.4% (n=1,001) and 78.8% (n=523) of WHO grade II diffuse oligodendrogliomas and WHO grade III anaplastic oligodendrogliomas (as encoded by both ICD-O-3 histology and WHO grade), respectively, were truly 1p/19q-codeleted; suggesting that the remainder were likely inappropriately encoded astrocytomas or non-diffuse glioma subtypes (Table 3). Correspondingly, the histologically-encoded oligodendrogliomas with confirmed 1p/19q-codeletion were associated with significantly younger age at diagnosis, greater predilection for the frontal lobe, and improved OS than histologically-encoded “oligodendrogliomas” with retained 1p/19q (all p<0.05). In our multi-institutional cohort, when integrating 1p/19q, IDH, ATRX, and p53 molecular statuses, 23.1% (n=6) of registry-encoded WHO grade II diffuse oligodendrogliomas were reclassified: 3.8% as WHO grade II diffuse astrocytoma IDH-mutant and 19.2% as WHO grade IV glioblastoma IDH-wildtype—often with an oligodendroglioma-like histological component (Table 4). Likewise, 35.0% (n=7) of registry-encoded WHO grade III anaplastic oligodendrogliomas were also reclassified: 15.0% as WHO grade III anaplastic astrocytoma IDH-mutant, 5.0% as WHO grade III anaplastic astrocytoma IDH wild-type, 10.0% as WHO grade IV glioblastoma IDH-wildtype (also commonly with an oligodendroglioma-like component), and 5.0% as a high-grade glioma without 1p/19q or IDH status.

TABLE 3.

Discordance between ICD-O-3 Histological Diagnosis and 1p/19q-codeletion Status in Diffuse Gliomas

WHO
grade
ICD-O-3
Histology
Have
1p/19q
data (n)
1p/19q-codeleted Age (years) Male Frontal lobe Overall Survival (months)
n % Median IQR p-
value*
% p-
value**
% p-
value**
5yr-OS 95% CI p-
value***
II Diffuse OG 1,345 Yes 1,001 74.4 39 (29-49) <0.001 57.6 0.44 74.8 <0.001 90.9 (87.4-93.4) 0.01
No 344 25.6 42 (33-51) 55.2 58.2 84.9 (78.6-89.5)
Diffuse AC 544 Yes 34 6.3 36 (29-46) 0.43 52.9 0.77 57.7 0.72 81.4 (57.5-92.6) 0.85
No 510 93.8 39 (29-51) 55.5 53.7 70.6 (62.1-77.6)
Mixed Glioma 564 Yes 163 28.9 35 (29-45) 0.001 46.6 0.003 76.5 <0.001 83.8 (75.0-89.7) 0.09
No 401 71.1 43 (32-51) 60.4 58.8 74.7 (67.8-80.3)
III Anaplastic OG 664 Yes 523 78.8 44 (32-58) 0.05 59.9 0.95 76.9 0.001 78.5 (72.5-83.2) <0.001
No 141 21.2 48 (38-57) 59.6 62.9 48.6 (35.4-60.6)
Anaplastic AC 815 Yes 72 8.8 42 (31-56) 0.10 47.2 0.23 51.0 0.10 53.7 (34.5-69.6) 0.86
No 743 91.2 47 (33-57) 54.6 52.9 48.5 (42.6-54.1)
Mixed Glioma 456 Yes 168 36.8 41 (31-55) 0.39 52.4 0.13 74.2 0.17 72.6 (63.5-79.8) 0.004
No 288 63.2 44 (33-55) 59.7 63.9 56.8 (49.4-63.4)
IV Glioblastoma 2,427 Yes 227 9.4 60 (52-69) 0.03 63.9 0.05 43.4 0.66 18.1 (10.5-27.4) 0.01
No 2,220 91.5 59 (49-68) 57.1 38.7 10.9 (8.70-13.4)
***

p-value from a log-rank test using Kaplan-Meier survival analysis

**

p-value from a chi-square test;

*

p-value from a t-test;

OG: oligodendroglioma, AC: astrocytoma, IQR: interquartile range, OS: overall survival, CI: confidence interval;

TABLE 4.

Molecular Status of Multi-Institutional Registry-Derived Diffuse Glioma Patients from 2010 to 2015 (i.e. pre-WHO 2016 Classification)

Cases from Registry Data Corresponding Data from Institutional Neuropathology Reports
ICD-O-3
Code/
Behavior
ICD-O-3 Histology n % with
WHO
grade
% with
1p/19q
status
%
1p/19q
codeleted
% with
IDH
status
%
IDH
mutant
% with
p53
status
%
p53
pos
% with
ATRX
status
%
ATRX
loss
9380/3 Glioma, malignant 23 73.9 47.8 0 100 21.7 56.5 53.9 47.8 36.4
9381/3 Gliomatosis cerebri 3 100 33.3 0 66.7 100 33.3 100 0 0
9382/3 Mixed glioma 42 100 88.1 27.0 97.6 75.6 61.9 50.0 21.4 66.7
9400/3 Astrocytoma, NOS 36 91.7 36.1 0 94.4 38.2 63.9 56.5 30.6 45.5
9401/3 Astrocytoma, anaplastic 75 100 46.7 2.9 90.7 32.4 61.3 63.0 36.0 48.2
9410/3 Protoplasmic astrocytoma 1 100 100 0 100 100 100 100 0 n/a
9411/3 Gemistocytic astrocytoma none
9420/3 Fibrillary astrocytoma 1 100 0 n/a 100 0 100 100 100 0
9440/3 Glioblastoma, NOS 217 99.1 35.5 0 87.1 3.7 51.6 34.8 26.3 8.8
9441/3 Giant cell glioblastoma 1 100 0 n/a 0 n/a 0.0 n/a 0.0 n/a
9442/3 Gliosarcoma 5 100 40.0 0 60.0 0 60.0 100 40.0 0
9450/3 Oligodendroglioma, NOS* 26 100 100 76.9 96.2 80.0 69.2 16.7 57.7 0
9451/3 Oligodendroglioma, anaplastic 20 95.0 95.0 68.4 90.0 83.3 60.0 25.0 15.0 33.3
Total 450 97.3 49.3 19.8 90.0 28.6 56.9 44.1 30.2 25.0

“/3” behavior code designates a malignant tumor; NOS: Not otherwise specified;

*

In ICD-O-3, this diagnosis is synonymous with oligodendroglioma, diffuse.

In histologically-encoded “mixed gliomas” (i.e. oligoastrocytoma), 28.9% (n=163) of WHO grade II and 36.8% (n=168) of WHO grade III tumors, respectively, had 1p/19q-codeletion, therefore likely representing oligodendrogliomas; whereas the remaining 1p/19q-retained cases were likely astrocytomas (Table 3). Within our multi-institutional cohort, when incorporating the integrated molecular status, 92.9% (n=39) of registry-encoded “mixed gliomas” were reclassified as either WHO grade II oligodendroglioma 1p/19-codeleted and IDH-mutant (9.5%), diffuse astrocytoma IDH-mutant (21.4%), and diffuse astrocytoma IDH-wildtype (4.8%), or WHO grade III anaplastic oligodendroglioma 1p/19q-codeleted and IDH-mutant (14.3%), anaplastic astrocytoma IDH-mutant (23.8%), and anaplastic astrocytoma IDH-wildtype (19.0%). Similarly, 47.8% (n=11) of registry-encoded “malignant gliomas” (i.e. high-grade gliomas) could be re-assigned to a 2016 CNS WHO subtype when integrating molecular status.

1p/19q status was reported in only a minority of histologically-encoded WHO grade II diffuse astrocytomas and WHO grade III anaplastic astrocytomas, but of these cases, 6.3% (n=34) and 8.8% (n=72), respectively, demonstrated 1p/19q-codeletion and would now be reclassified as oligodendrogliomas in the presence of an IDH mutation (Table 3). Additionally, applying integrated molecular approaches to our multi-institutional registry-encoded WHO grade II diffuse astrocytomas revealed that 41.7% (n=15) were IDH-wildtype and 36.1% (n=13) were IDH-mutant, and 2.8% (n=1) were in fact BRAFV600E-mutant (IDH-wildtype) pilocytic astrocytomas; whereas for the WHO grade III anaplastic astrocytomas, 60.0% (n=45) were re-classified as IDH-wildtype and 26.7% (n=20) were IDH-mutant. Of the encoded GBMs with reported 1p/19q status, 9.4% (n=227) displayed 1p/19q-codeletion (and would be reclassified as anaplastic oligodendrogliomas if IDH-mutant); these were associated with significantly improved OS compared to the encoded GBMs with retained 1p/19q. Among the multi-institutional registry-encoded GBMs, 3.7% were found to be IDH-mutant, with another 0.9% and 0.4% found to be the giant cell and gliosarcoma variants of GBM IDH-wildtype.

DISCUSSION

WHO 2016 molecular classification for diffuse gliomas

The 2016 WHO made several significant changes to the classification of diffuse gliomas, primarily by integrating IDH1/IDH2 mutation and 1p/19q-codeletion status with histology into a diagnostically and prognostically more accurate scheme (Table 5). The most frequent isocitrate dehydrogenase (IDH) driver mutation in diffuse glioma, occurring in approximately 90% of cases, is an arginine to histidine missense mutation at codon 132 of the IDH1 gene, which can be reliably detected with an IDH1 R132H immunohistochemical stain.(28,29) In IDH-mutant gliomas, 1p/19q-codeletion is pathognomonic for oligodendroglioma. This biomarker and MGMT promoter methylation status are the only brain cancer-specific molecular data encoded in cancer registry data as of 2010. Data on IDH mutation status are notably not yet reported in the U.S. cancer registries, but have started to be collected in 2018. Grading of diffuse gliomas was made on the basis of histologic features such as mitotic activity, tumor necrosis, and microvascular proliferation, with these conventions retained in the 2016 revised 4th edition. Herein, we examine the accuracies of cancer registry-encoded diffuse gliomas by WHO grade and 1p/19q status, and demonstrate how misclassification may impact survival outcome estimates.

TABLE 5.

Revised ICD-O-3 Coding from the 2016 WHO for Diffuse Gliomas

ICD-O-3
Code/Behavior
Revised ICD-O-3 Histology
9382/3 Anaplastic oligoastrocytoma, NOS
9382/3 Oligoastrocytoma, NOS
9385/3 Diffuse midline glioma, H3 K27M-mutant
9400/3 Diffuse astrocytoma, IDH-mutant
9400/3 Diffuse astrocytoma, IDH-wildtype
9401/3 Anaplastic astrocytoma, IDH-mutant
9401/3 Anaplastic astrocytoma, IDH-wildtype
9411/3 Gemistocytic astrocytoma
9440/3 Epithelioid glioblastoma
9440/3 Glioblastoma, IDH-wildtype
9441/3 Giant cell glioblastoma
9442/3 Gliosarcoma
9445/3 Glioblastoma, IDH-mutant
9450/3 Oligodendroglioma, IDH-mutant and 1p/19q-codeleted
9451/3 Anaplastic oligodendroglioma, IDH-mutant and 1p/19q-codeleted

“/3” behavior code designates a malignant tumor; NOS: Not otherwise specified

Diffuse astrocytoma (WHO grade II) and anaplastic astrocytoma (WHO grade III) are 1p/19q-retained and can be further subclassified on the basis of their IDH status: mutant, wildtype, or NOS (Table 4). The IDH status has important prognostic value, as IDH-mutant infiltrating astrocytomas are associated with a better survival, as well as increased sensitivity to chemoradiation.(30,31) The majority of WHO grade II and III infiltrating astrocytomas harbor IDH mutations. These IDH-mutant astrocytomas almost always have concurrent inactivating TP53 and ATRX mutations. The Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy—Not Official WHO (cIMPACT-NOW) was established in 2016 to translate the 2016 CNS WHO criteria into diagnostic guidelines and recommends that for diffuse gliomas with astrocytoma-like histology, demonstrating IDH1 (R132H) mutation with loss of nuclear ATRX expression and/or strong diffuse p53 expression by immunohistochemistry is sufficient for rendering a diagnosis of IDH-mutant astrocytoma, without necessitating 1p/19q testing.(3234) If the immunohistochemical results or clinicopathologic features are non-canonical for IDH-mutant astrocytomas, then additional testing for alternative IDH mutations, other molecular hallmarks, or chromosomal alterations may be indicated. A subset of tumors that were initially diagnosed as grade II or grade III IDH-wildtype infiltrating astrocytomas can be reclassified after molecular testing as other glioma subtypes, including pilocytic astrocytomas, gangliogliomas, glioblastomas, and diffuse midline gliomas (H3 K27M-mutant).(35) We found that 1p/19q status was only reported in a minority of astrocytomas, but that a significant subset had 1p/19q-codeletion, likely representing miscoded oligodendrogliomas in most examples (i.e., if IDH-mutant). Additionally, the integrated molecular testing of multi-institutional registry-encoded astrocytomas demonstrated that the prognostically-relevant IDH status varied substantially.

Oligodendroglioma (WHO grade II) and anaplastic oligodendroglioma (WHO grade III) are IDH-mutant and 1p/19q-codeleted (Table 4).(36,37) In contrast to IDH-mutant astrocytomas, oligodendrogliomas often have TERT promoter mutations, and p53 and ATRX genetic aberrations are not characteristic. The 2016 CNS WHO and cIMPACT-NOW recommend that all diffuse gliomas with oligodendroglioma-like histology or mixed oligodendroglioma-astrocytoma histology be evaluated for 1p/19q-codeletion and IDH status. In clinical trials, IDH-mutant 1p/19q-codeleted oligodendrogliomas are associated with significantly improved response to chemotherapy, as compared to IDH-mutant and IDH-wildtype astrocytomas.(3840) Herein, only 74% and 79% of grade II and III oligodendrogliomas, respectively, were in fact coded as 1p/19q-codeleted. These codeleted cases were associated with significantly younger age, more frequent localization to the frontal lobe, and more favorable OS as compared to the 1p/19q-retained subset of miscoded astrocytomas or other glial tumors. The differences in clinical characteristics and outcome between 1p/19-codeleted and 1p/19q-retained gliomas in this cohort highlight the importance of accurate integration of molecular data with histology. Furthermore, when 1p/19q, IDH, ATRX, and p53 statuses were incorporated, we observed similar rates of re-classification in our multi-institutional cases of registry-encoded oligodendrogliomas.

Importantly, under the 2016 WHO scheme, a diagnosis of oligoastrocytoma should be exceedingly rare, reserved for instances in which the tumor demonstrates distinct areas with histologic and genetic features of astrocytoma and oligodendroglioma, respectively.(41,42) Instead, nearly all diffuse gliomas with mixed astrocytic and oligodendroglial morphology can be reclassified as either astrocytomas or oligodendrogliomas when incorporating molecular and cytogenetic data.(43) For example, we found that 29% and 37% of WHO grade II and III histologically-encoded “oligoastrocytomas” had 1p/19q-codeletion, therefore likely representing grade II and III oligodendrogliomas, assuming that they also had IDH mutations. In our multi-institutional series, 93% and 48% of registry-encoded “oligoastrocytomas” and “malignant gliomas”, respectfully, could be re-assigned to a 2016 CNS WHO subtype when integrating molecular status.

In key trials of chemotherapy (e.g. RTOG9802 trial of radiotherapy combined with procarbazine, lomustine, and vincristine [NCT00003375] and RTOG0424 trial of radiotherapy combined with temozolomide [NCT00114140]) and radiotherapy (e.g. EORTC22845 timing trial and NCCTG/RTOG/ECOG dose trial) for grade II diffuse gliomas, tumors were classified only histologically as oligodendroglioma, oligoastrocytoma, or astrocytoma, and 1p/19q status was not addressed in survival analyses.(4447) Based on our results, up to 29% of “oligoastrocytomas”, approximately 6% of “astrocytomas”, and only 74% of “oligodendrogliomas” in these trials would have likely represented WHO grade II 1p/19q-codeleted oligodendrogliomas—if also IDH mutant—and thus would have been associated with improved OS, as also suggested by the improved progression-free survival by 1p/19q-codeleted status in EORTC22033-26033 of temozolomide versus radiotherapy (NCT00182819).(38) Additionally, our findings suggest that grade II diffuse “astrocytomas” in these trials actually comprised a combination of prognostically-distinct WHO grade II IDH-mutant and IDH-wildtype diffuse astrocytomas, as well as suggesting that up to 3% of the diffuse “astrocytomas” may have in fact represent pilocytic astrocytomas. Correspondingly, updated subgroup analyses by 1p/19q status in clinical trials for grade III diffuse gliomas (e.g. EORTC26951 and RTOG9402 [NCT00002569] trials of radiotherapy combined with procarbazine, lomustine, and vincristine) demonstrated improved OS with 1p/19q-codeletion, which was reflected in our results: 79% and 49% 5-year OS for 1p/19q-codeleted and non-codeleted WHO grade III gliomas, respectively.(39,40)

Glioblastoma (WHO grade IV) can also be subclassified by IDH status (Table 4). However, unlike the lower grade infiltrating astrocytomas, most GBMs (i.e. >90%) are IDH-wildtype. IDH-wildtype GBMs frequently have TERT promoter mutations, recurrent copy number alterations including polysomy 7 and monosomy 10 (with loss of PTEN), amplification of EGFR, and loss of tumor suppressors CDKN2A and CDKN2B. IDH-mutant GBMs, representing approximately 4% of registry-encoded GBMs in our cohort, may progress from grade II or III diffuse astrocytomas and are associated with a better prognosis and younger age at time of diagnosis compared to IDH-wildtype GBMs.(28,48,49) The distinction between IDH-mutant and IDH-wildtype GBMs is not permitted by current cancer registry encoding. We found that only a fraction of encoded “GBMs” included 1p/19q status, of which 9% were 1p/19q-codeleted and were associated with significantly improved OS. These cases may have been previously interpreted within the now-defunct “GBM with oligodendroglial component” category (i.e., the grade IV counterpart of oligoastrocytoma), but would now be more appropriately reclassified as WHO grade III anaplastic oligodendrogliomas when IDH-mutant.(50)

In 2018, NAACCR began incorporating all of the 2016 WHO ICD-O coding and definitions for diffuse gliomas, including the new entity diffuse midline glioma characterized by the H3 K27M mutation (Table 4); although incorporation of registry data into databases for public analysis usually lags by approximately 3 years. Additionally, IDH status will be collected as a site-specific variable. Together, these crucial updates will permit cancer registries to more accurately stratify diffuse glioma patients, which in turn will enable clinically-relevant evaluations of contemporary glioma epidemiology and management.

Limitations

The cancer registry-based databases, although extensive in their scope, are constrained by several limitations. For CNS tumors, molecular data are limited only to MGMT promoter methylation status and 1p/19q status, with IDH status notably lacking despite now being essential for accurate diagnosis. To help address this challenge, we included the diagnostic accuracy results for 450 registry-encoded diffuse gliomas from three tertiary care institutions, based on canonical 1p/19q, IDH, ATRX, and p53 statuses. Also, although 1p and 19q LOH variables are included, registry data lack details about the diagnostic methodologies used: for instance, it is known that only whole arm deletions correlate with the biologically favorable oligodendrogliomas; however, smaller deletions are seen in a subset of astrocytic tumors, which might be construed as a false-positive in FISH assays that only assess one probe per arm. The databases additionally only include data from a patient’s initial presentation and initial treatment courses, precluding evaluation of subsequent treatments, progression, recurrence, or metastasis.

Conclusions

Cancer registries are critical to our understanding of the epidemiology, oncogenesis, and treatment of a wide spectrum of tumor types. However, many diffuse gliomas are inappropriately classified, with significant implications for OS estimates. Based on 1p/19q, IDH, ATRX, and p53 statuses, the overall rates of misclassified oligodendrogliomas, astrocytomas, and GBMs based on histology-only classification are approximately 21-35%, 6-9%, and 9%, respectively. Our rapidly expanding understanding of the genetic landscape of diffuse gliomas highlights the importance of integrating histology with molecular data for diagnosis. Our findings suggest that when compared to historical histology-only classified data, there is the potential for false-positive results in contemporary therapeutic trials of molecularly-classified diffuse gliomas. These issues may be true for institutional historical databases, as well as national registry-based sources, and could also contribute to a seemingly positive phase II trial (based on historical comparison) failing at the phase III stage. Critically, the findings from diffuse glioma clinical trials, registry-based studies, and historical cohorts using prior histology-based WHO classification schemes must be cautiously re-interpreted and tempered in light of the integrated diagnoses defined in the revised 2016 WHO. Particularly for institutional historical comparison groups, we recommend that investigators consider using immunohistochemical evaluation (and chromosomal/molecular testing if indicated) of archival formalin-fixed paraffin-embedded samples in order to appropriately re-classify historical cohorts. Our results highlight the pressing need to design preclinical investigations, clinical trials, and national cancer registries moving forward that incorporate key molecular data across all cancer types.

Statement of Translational Relevance:

The molecular characterization for a spectrum of cancer types—principally made possible by advances in next-generation sequencing and gene expression analysis—has revolutionized oncologic diagnostics and therapeutics, and is increasingly becoming a critical component of clinical care for cancer patients. The changes have been particularly groundbreaking for diffuse gliomas in which IDH1/IDH2 gene mutational status and the presence of chromosomal codeletion of 1p/19q have important prognostic and therapeutic implications. Our findings suggest that when compared to historical histology-only classified data, there is the potential for false-positive results in contemporary therapeutic trials of molecularly-classified diffuse gliomas. Critically, findings from diffuse glioma clinical trials, registry-based studies, and historical cohorts using prior WHO schemes based on histology alone must be cautiously re-interpreted. Our results highlight the pressing need to design preclinical investigations, clinical trials, and national cancer registries moving forward that incorporate key molecular data across all cancer types.

Acknowledgments:

JBI is supported by an NIH 5T32HL007627-34 award and an Arthur Purdy Stout award. The authors are grateful to Dr. David Louis for his editorial assistance and insights and to the cancer registrars of Brigham and Women’s Hospital, Dana-Farber Cancer Center, and Massachusetts General Hospital for their assistance.

Footnotes

Conflicts of Interest: The authors report no conflicts of interest.

REFERENCES

  • 1.Louis DN, Ohgaki H, Cavenee WK. World Health Organization Histological Classification of Tumours of the Central Nervous System. revised 4th. France: International Agency for Research on Cancer; 2016. [Google Scholar]
  • 2.Cancer Genome Atlas Research Network, Brat DJ, Verhaak RGW, Aldape KD, Yung WKA, Salama SR, et al. Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas. N Engl J Med 2015;372:2481–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Arber DA, Orazi A, Hasserjian R, Thiele J, Borowitz MJ, Beau MML, et al. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood. 2016;127:2391–405. [DOI] [PubMed] [Google Scholar]
  • 4.Jo VY, Fletcher CDM. WHO classification of soft tissue tumours: an update based on the 2013 (4th) edition. Pathology (Phila: ). 2014;46:95–104. [DOI] [PubMed] [Google Scholar]
  • 5.Travis WD, Brambilla E, Nicholson AG, Yatabe Y, Austin JHM, Beasley MB, et al. The 2015 World Health Organization Classification of Lung Tumors: Impact of Genetic, Clinical and Radiologic Advances Since the 2004 Classification. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2015;10:1243–60. [DOI] [PubMed] [Google Scholar]
  • 6.Weir HK, Johnson CJ, Mariotto AB, Turner D, Wilson RJ, Nishri D, 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;2014:198–209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.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;20:295–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ostrom QT, Gittleman H, Kruchko C, Louis DN, Brat DJ, Gilbert MR, 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;130:31–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Fritz A, Percy C, Jack A. International Classification of Diseases for Oncology. 3rd, first revision ed. Geneva: World Health Organization; 2013. [Google Scholar]
  • 10.Louis DN, Ohgaki H, Cavenee WK. World Health Organization Histological Classification of Tumours of the Central Nervous System 4th ed. France: International Agency for Research on Cancer; 2007. [Google Scholar]
  • 11.Schupper AJ, Hirshman BR, Carroll KT, Ali MA, Carter BS, Chen CC. Effect of Gross Total Resection in World Health Organization Grade II Astrocytomas: SEER-Based Survival Analysis. World Neurosurg 2017;103:741–7. [DOI] [PubMed] [Google Scholar]
  • 12.Wu J, Zou T, Bai HX, Li X, Zhang Z, Xiao B, et al. Comparison of chemoradiotherapy with radiotherapy alone for “biopsy only” anaplastic astrocytoma. Oncotarget 2017;8:69038–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Achey RL, Khanna V, Ostrom QT, Kruchko C, Barnholtz-Sloan JS. Incidence and survival trends in oligodendrogliomas and anaplastic oligodendrogliomas in the United States from 2000 to 2013: a CBTRUS Report. J Neurooncol 2017;133:17–25. [DOI] [PubMed] [Google Scholar]
  • 14.Alattar AA, Brandel MG, Hirshman BR, Dong X, Carroll KT, Ali MA, et al. Oligodendroglioma resection: a Surveillance, Epidemiology, and End Results (SEER) analysis. J Neurosurg 2017;1–8. [DOI] [PubMed] [Google Scholar]
  • 15.Brandel MG, Alattar AA, Hirshman BR, Dong X, Carroll KT, Ali MA, et al. Survival trends of oligodendroglial tumor patients and associated clinical practice patterns: a SEER-based analysis. J Neurooncol 2017;133:173–81. [DOI] [PubMed] [Google Scholar]
  • 16.Goel NJ, Abdullah KG, Lang S-S. Outcomes and Prognostic Factors in Pediatric Oligodendroglioma: A Population-Based Study. Pediatr Neurosurg 2018;53:24–35. [DOI] [PubMed] [Google Scholar]
  • 17.Lau CS, Mahendraraj K, Chamberlain RS. Oligodendrogliomas in pediatric and adult patients: an outcome-based study from the Surveillance, Epidemiology, and End Result database. Cancer Manag Res 2017;9:159–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Shin JY, Yoon JK, Diaz AZ. Racial disparities in anaplastic oligodendroglioma: An analysis on 1643 patients. J Clin Neurosci Off J Neurosurg Soc Australas. 2017;37:34–9. [DOI] [PubMed] [Google Scholar]
  • 19.Arvold ND, Cefalu M, Wang Y, Zigler C, Schrag D, Dominici F. Comparative effectiveness of radiotherapy with vs. without temozolomide in older patients with glioblastoma. J Neurooncol 2017;131:301–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Bingham B, Patel CG, Shinohara ET, Attia A. Utilization of hypofractionated radiotherapy in treatment of glioblastoma multiforme in elderly patients not receiving adjuvant chemoradiotherapy: A National Cancer Database Analysis. J Neurooncol 2017; [DOI] [PubMed] [Google Scholar]
  • 21.Huang J, Samson P, Perkins SM, Ansstas G, Chheda MG, DeWees TA, et al. Impact of concurrent chemotherapy with radiation therapy for elderly patients with newly diagnosed glioblastoma: a review of the National Cancer Data Base. J Neurooncol 2017;131:593–601. [DOI] [PubMed] [Google Scholar]
  • 22.Osborn VW, Lee A, Garay E, Safdieh J, Schreiber D. Impact of Timing of Adjuvant Chemoradiation for Glioblastoma in a Large Hospital Database. Neurosurgery. 2017; [DOI] [PubMed] [Google Scholar]
  • 23.Carroll KT, Hirshman B, Ali MA, Alattar AA, Brandel MG, Lochte B, et al. Management and Survival Patterns of Patients with Gliomatosis Cerebri: A SEER-Based Analysis. World Neurosurg 2017;103:186–93. [DOI] [PubMed] [Google Scholar]
  • 24.Yang W, Xu T, Garzon-Muvdi T, Jiang C, Huang J, Chaichana KL. Survival of Ventricular and Periventricular High-Grade Gliomas (HGG): A Surveillance, Epidemiology, and End Results Program (SEER) Based Study. World Neurosurg 2017; [DOI] [PubMed] [Google Scholar]
  • 25.Forst D, Adams E, Nipp R, Martin A, El-Jawahri A, Aizer A, et al. Hospice Utilization in Patients with Malignant Gliomas. Neuro-Oncol 2017; [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Yeboa DN, Rutter CE, Park HS, Lester-Coll NH, Corso CD, Mancini BR, et al. Patterns of care and outcomes for use of concurrent chemoradiotherapy over radiotherapy alone for anaplastic gliomas. Radiother Oncol J Eur Soc Ther Radiol Oncol 2017;125:258–65. [DOI] [PubMed] [Google Scholar]
  • 27.Glaser SM, Dohopolski MJ, Balasubramani GK, Flickinger JC, Beriwal S. Glioblastoma multiforme (GBM) in the elderly: initial treatment strategy and overall survival. J Neurooncol 2017;134:107–18. [DOI] [PubMed] [Google Scholar]
  • 28.Yan H, Parsons DW, Jin G, McLendon R, Rasheed BA, Yuan W, et al. IDH1 and IDH2 mutations in gliomas. N Engl J Med 2009;360:765–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Capper D, Zentgraf H, Balss J, Hartmann C, von Deimling A. Monoclonal antibody specific for IDH1 R132H mutation. Acta Neuropathol (Berl) 2009;118:599–601. [DOI] [PubMed] [Google Scholar]
  • 30.Hartmann C, Hentschel B, Wick W, Capper D, Felsberg J, Simon M, et al. Patients with IDH1 wild type anaplastic astrocytomas exhibit worse prognosis than IDH1-mutated glioblastomas, and IDH1 mutation status accounts for the unfavorable prognostic effect of higher age: implications for classification of gliomas. Acta Neuropathol (Berl) 2010;120:707–18. [DOI] [PubMed] [Google Scholar]
  • 31.Reuss DE, Mamatjan Y, Schrimpf D, Capper D, Hovestadt V, Kratz A, et al. IDH mutant diffuse and anaplastic astrocytomas have similar age at presentation and little difference in survival: a grading problem for WHO. Acta Neuropathol (Berl) 2015;129:867–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Louis DN, Wesseling P, Paulus W, Giannini C, Batchelor TT, Cairncross JG, et al. cIMPACT-NOW update 1: Not Otherwise Specified (NOS) and Not Elsewhere Classified (NEC). Acta Neuropathol (Berl) 2018;135:481–4. [DOI] [PubMed] [Google Scholar]
  • 33.Louis DN, Giannini C, Capper D, Paulus W, Figarella-Branger D, Lopes MB, et al. cIMPACT-NOW update 2: diagnostic clarifications for diffuse midline glioma, H3 K27M-mutant and diffuse astrocytoma/anaplastic astrocytoma, IDH-mutant. Acta Neuropathol (Berl) 2018;135:639–42. [DOI] [PubMed] [Google Scholar]
  • 34.Brat DJ, Aldape K, Colman H, Holland EC, Louis DN, Jenkins RB, et al. cIMPACT-NOW update 3: recommended diagnostic criteria for “Diffuse astrocytic glioma, IDH-wildtype, with molecular features of glioblastoma, WHO grade IV.” Acta Neuropathol (Berl) 2018;136:805–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Reuss DE, Kratz A, Sahm F, Capper D, Schrimpf D, Koelsche C, et al. Adult IDH wild type astrocytomas biologically and clinically resolve into other tumor entities. Acta Neuropathol (Berl). 2015;130:407–17. [DOI] [PubMed] [Google Scholar]
  • 36.Visani M, Acquaviva G, Marucci G, Paccapelo A, Mura A, Franceschi E, et al. Non-canonical IDH1 and IDH2 mutations: a clonal and relevant event in an Italian cohort of gliomas classified according to the 2016 World Health Organization (WHO) criteria. J Neurooncol 2017;135:245–54. [DOI] [PubMed] [Google Scholar]
  • 37.Hartmann C, Meyer J, Balss J, Capper D, Mueller W, Christians A, et al. Type and frequency of IDH1 and IDH2 mutations are related to astrocytic and oligodendroglial differentiation and age: a study of 1,010 diffuse gliomas. Acta Neuropathol (Berl) 2009;118:469–74. [DOI] [PubMed] [Google Scholar]
  • 38.Baumert BG, Hegi ME, van den Bent MJ, von Deimling A, Gorlia T, Hoang-Xuan K, et al. Temozolomide chemotherapy versus radiotherapy in high-risk low-grade glioma (EORTC 22033-26033): a randomised, open-label, phase 3 intergroup study. Lancet Oncol 2016;17:1521–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.van den Bent MJ, Brandes AA, Taphoorn MJB, Kros JM, Kouwenhoven MCM, Delattre J-Y, 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 Off J Am Soc Clin Oncol 2013;31:344–50. [DOI] [PubMed] [Google Scholar]
  • 40.Cairncross G, Wang M, Shaw E, Jenkins R, Brachman D, Buckner J, et al. Phase III trial of chemoradiotherapy for anaplastic oligodendroglioma: long-term results of RTOG 9402. J Clin Oncol Off J Am Soc Clin Oncol 2013;31:337–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Wilcox P, Li CCY, Lee M, Shivalingam B, Brennan J, Suter CM, et al. Oligoastrocytomas: throwing the baby out with the bathwater? Acta Neuropathol (Berl). 2015;129:147–9. [DOI] [PubMed] [Google Scholar]
  • 42.Qu M, Olofsson T, Sigurdardottir S, You C, Kalimo H, Nistér M, et al. Genetically distinct astrocytic and oligodendroglial components in oligoastrocytomas. Acta Neuropathol (Berl) 2007;113:129–36. [DOI] [PubMed] [Google Scholar]
  • 43.Sahm F, Reuss D, Koelsche C, Capper D, Schittenhelm J, Heim S, et al. Farewell to oligoastrocytoma: in situ molecular genetics favor classification as either oligodendroglioma or astrocytoma. Acta Neuropathol (Berl) 2014;128:551–9. [DOI] [PubMed] [Google Scholar]
  • 44.Buckner JC, Shaw EG, Pugh SL, Chakravarti A, Gilbert MR, Barger GR, et al. Radiation plus Procarbazine, CCNU, and Vincristine in Low-Grade Glioma. N Engl J Med 2016;374:1344–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Fisher BJ, Hu C, Macdonald DR, Lesser GJ, Coons SW, Brachman DG, et al. Phase 2 study of temozolomide-based chemoradiation therapy for high-risk low-grade gliomas: preliminary results of Radiation Therapy Oncology Group 0424. Int J Radiat Oncol Biol Phys 2015;91:497–504. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.van den Bent M, Afra D, de Witte O, Hassel MB, Schraub S, Hoang-Xuan K, et al. Long-term efficacy of early versus delayed radiotherapy for low-grade astrocytoma and oligodendroglioma in adults: the EORTC 22845 randomised trial. The Lancet. 2005;366:985–90. [DOI] [PubMed] [Google Scholar]
  • 47.Shaw E, Arusell R, Scheithauer B, O’Fallon J, O’Neill B, Dinapoli R, et al. Prospective randomized trial of low-versus high-dose radiation therapy in adults with supratentorial low-grade glioma: initial report of a North Central Cancer Treatment Group/Radiation Therapy Oncology Group/Eastern Cooperative Oncology Group study. J Clin Oncol Off J Am Soc Clin Oncol. 2002;20:2267–76. [DOI] [PubMed] [Google Scholar]
  • 48.Nobusawa S, Watanabe T, Kleihues P, Ohgaki H. IDH1 mutations as molecular signature and predictive factor of secondary glioblastomas. Clin Cancer Res Off J Am Assoc Cancer Res. 2009;15:6002–7. [DOI] [PubMed] [Google Scholar]
  • 49.Ohgaki H, Kleihues P. The definition of primary and secondary glioblastoma. Clin Cancer Res Off J Am Assoc Cancer Res. 2013;19:764–72. [DOI] [PubMed] [Google Scholar]
  • 50.Hinrichs BH, Newman S, Appin CL, Dunn W, Cooper L, Pauly R, et al. Farewell to GBM-O: Genomic and transcriptomic profiling of glioblastoma with oligodendroglioma component reveals distinct molecular subgroups. Acta Neuropathol Commun. 2016;4:4. [DOI] [PMC free article] [PubMed] [Google Scholar]

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