Skip to main content
F1000Research logoLink to F1000Research
. 2021 Jul 2;10:529. [Version 1] doi: 10.12688/f1000research.54390.1

Pancreatic cancer incidence trends in the United States from 2000-2017: Analysis of Surveillance, Epidemiology and End Results (SEER) database

Hassam Ali 1,a, Rahul Pamarthy 1, Meghana Vallabhaneni 1, Shiza Sarfraz 2, Hadiqa Ali 2, Hamza Rafique 2
PMCID: PMC8411275  PMID: 34527218

Abstract

Background: Recent incidence trends of pancreatic cancers were reviewed by demographics and histologic type to observe any new findings.

Methods: Data was used from the Surveillance, Epidemiology, and End Results (SEER) registry 18 (2000-2017) and it underwent temporal trend analysis. Pancreatic cancer incidence rates were reported based on histological subtype and demographics.

Results: The incidence rate of white males increased significantly during 2000-2017 (annual percent change (APC) = 3.5%) compared to previously reported APCs. The incidence of white females grew from an APC of 1.29% to 2.9%. Rates among black ethnicity increased with an APC of 4.2%. Rates among Hispanics and other ethnicities also showed increment. The rates for ductal adenocarcinoma showed a positive trend in all races, with the APC ≥ 6 % for females and APC ≥ 6.5 % for males. The rates of non-secretory endocrine tumors showed a decline in both genders of all five races in recent years after showing an initial positive trend till 2010. Rates for pancreatic adenocarcinoma continued to rise in all ethnicities from 2000-2017. Interestingly, there was a rise in carcinoid type pancreatic neuroendocrine tumors (PNETs) in all ethnicities. Cumulatively, males had a higher incidence than females; male to female Incidence Risk Ratio (IRRs) was 1.32. The IRR was > 1 for age groups ≥ 35 years. The male to female IRRs was less than 1 for cystic adenocarcinoma, secretory endocrine, and solid pseudopapillary carcinomas (IRR = 0.5, 0.9, and 0.2 respectively, confidence intervals 0.4–0.6 and 0.9-1.3, 0.2–0.3, respectively).

Conclusion: Pancreatic cancer incidence continued to rise in the years 2000-2017. However, incidence differed by demographics and histologic type. Interestingly, recent years discerned a rise in PNETs (carcinoid type) which has not been reported previously.

Keywords: Pancreatic cancer, SEER database, PNETs, pancreatic neuroendocrine tumors, pancreatic cancer risk factors, Pancreatic cancer incidence, SEER 18

Introduction

As per global reports in 2018, pancreatic cancer remains the twelfth most common cancer in men and the eleventh in women 1. Cancer-related deaths have pancreatic cancer as the seventh leading cause 1. In the United States of America (USA), pancreatic cancer (PC) incidence has been increasing as previously reported 1, 2. PC mortality is estimated to rise as time progresses, and recent projections estimate that it might overpass colorectal cancer to become the second leading cancer-related cause of death after lung cancer 3. In 2020 reports showed 57,600 new cases and 47,050 PC related deaths 3. The PC risk increases with age, and the median age of diagnosis is 71 years 4. Previously the increases were most significant for non-secretory endocrine cancers, followed by ductal adenocarcinomas and adenocarcinoma 5.

Methods

The results were obtained from the analysis of the Surveillance Epidemiology and End Results (SEER) cancer registry database. SEER 18 includes 28% of the U.S. population as of the 2010 census 6. The rates are available by expanded race/ethnicity of cases diagnosed, including white, black, Asian/Pacific Islander, and American Indian/Alaskan Native and Hispanic ethnicity. SEER 18 also includes adjustments for areas impacted by hurricanes Katrina and Rita. It contains a record for each of 8,131,919 tumors. 19 age groups are available and can be classified as < 1 year, 1–4 years, 5–9 years to 85+ years, or unknown. The registries included in SEER 18 are San Francisco-Oakland SMSA, Connecticut, Detroit (Metropolitan), Hawaii, Iowa, New Mexico, Seattle (Puget Sound), Utah, Atlanta (Metropolitan, San Jose-Monterey, Los Angeles, Alaska Natives, Rural Georgia, California excluding San Francisco, San Jose Monterey, Los Angeles, Kentucky, Louisiana, New Jersey, Greater Georgia. SEER 18 encompasses the SEER 13, which itself includes seer 9 in addition to supplementary registries 6.

Within the SEER database, International Classification of Diseases (ICD)-0–2 was used through 2000 7, and ICD-0–3 following 2001 for coding the primary site and histologic type of diagnosed pancreatic cancer cases 8. Site recode ICD-0–3/WHO 2008: Pancreas (ICD-O-3 site C25) was used via SEER*Stat software to select cases pancreatic cancer 9. Only cases that were malignant and had a microscopically confirmed diagnosis were included. The ages below 30 years were filtered out due to reportedly low incidence per previous literature 5. Cases were characterized into exclusive groups based on morphological classification of pancreatic cancer in the ICD (Numbers given below) for Oncology and previous similar study 5, 8. In addition to the undermentioned cases, all other cases were classified as poorly specified types.

  • Adenocarcinoma, not otherwise specified (NOS) (8140)

  • Mucinous adenocarcinoma (8480, 8481)

  • Ductal adenocarcinoma excluding cystic or mucinous (8507, 8510, 8514, 8521, 8560, 8570, 8523, 8255, 8490, 8500)

  • Cystic adenocarcinoma (8440, 8470, 8504)

  • Intraductal papillary mucinous neoplasm (IPMN) (8453, 8471, 8503, 8144, 8450)

  • Non-secretory endocrine (8150, 8246)

  • Secretory endocrine (8151, 8152, 8156, 8153, 8155)

  • Carcinoid tumors (8243, 8244, 8245, 8240, 8241)

  • Acinar cell adenocarcinomas (8550, 8551),

  • Solid pseudopapillary tumors (8452),

  • Other adenocarcinoma (8145, 8260, 8441, 8154, 8574, 8460)

  • Non-carcinomas (8680–9999)

SEER*Stat 9 was utilized to calculate the incidence and age-adjusted rates, grouped by histologic subtype, gender, ethnicity, and age group. SEER 18 registry was used for analyzing tends with detailed racial group categories from 2000 to 2017 using yearly diagnosis. The period-specific rates were plotted and utilized temporal trend figures at two-year intervals and utilized a logarithmic scale with a base of 10 degrees portrayed rate per 100,000 person-years 10. The annual percent changes (APCs) were quantified using annual rates for temporal trends ( Table 1 & Table 2), and 95% confidence intervals (CIs) were included. SEER*Stat 9 was used for all analyses 6. Incidence Rate Ratios (IRRs) based on gender and ethnicity/race were calculated; these were further classified based on age groups and histological types. 95% CIs for the IRRs was calculated using the Tiwari method, and the figures were generated using Microsoft excel. Potential sources of bias include concern of patient migration across seer registries. Data is de-identified by SEER, and this potential for sample bias cannot be intervened but mentioned in this study's limitations.

Table 1. Total cases and Annual Percentage Changes (APCs) of pancreatic cancer by race and gender (2000–2017).

Males
Race Count APC LCI UCI
White 56991 3.4 * 3.3 3.6
Black 8807 4.2 * 3.8 4.6
American Indian/Alaska Native 396 7.4 * 4.7 10.1
Asian or Pacific Islander 5138 6.1 * 5.6 6.7
Hispanic (All Races) 7616 6.5 * 6 7
Non-Hispanic unknown races 133 17.1 * 12.2 22.2
Females
Race Count APC LCI UCI
White 50344 2.9 * 2.7 3
Black 9489 4.2 * 3.8 4.6
American Indian/Alaska Native 383 2.7 * 0.7 4.7
Asian or Pacific Islander 5404 6.1 * 5.6 6.7
Hispanic (All Races) 7751 6.4 * 5.8 7
Non-Hispanic unknown races ~ ~ ~ ~

APC = Annual percent change; UCI, LCI = Upper, Lower 95% confidence interval.

Confidence intervals are 95% for trends.

Percent changes were calculated using 1 year for each end point; APCs were calculated using weighted least squares method.

~ Statistic could not be calculated due to lower number of cases or at least one year with no reported cases.

* The APC is significantly different from zero (p<0.05).

Cases and annual percentage changes were only mentioned if there were enough cases to yield results after temporal trends analysis.

Table 2. Total cases and Annual Percentage Changes (APCs) of pancreatic cancer by race, gender, and age group (2000–2017).

Males
Age groups Count APC LCI UCI
White
30–34 years 112 3.3 * 0.2 6.4
35–39 years 359 0.2 -2.1 2.5
40–44 years 869 -2.3 * -3.7 -0.9
45–49 years 1,989 -0.7 -1.5 0.2
50–54 years 3,931 0.9 * 0.2 1.6
55–59 years 6,201 3.1 * 2.3 4
60–64 years 7,997 4.7 * 4 5.4
65–69 years 9,271 5.7 * 5.1 6.4
70–74 years 8,978 3.8 * 3.1 4.5
75–79 years 7,959 2.4 * 1.8 2.9
80–84 years 5,871 2.7 * 1.9 3.4
85+ years 3,454 5.4 * 4.4 6.4
Black
30–34 years ~ ~ ~ ~
35–39 years 84 -1.3 -5.4 3
40–44 years 199 -0.5 -3 2
45–49 years 484 0.3 -1.6 2.3
50–54 years 945 2.0 * 0.1 3.9
55–59 years 1,333 4.4 * 2.9 6
60–64 years 1,534 7.0 * 5.8 8.3
65–69 years 1,384 4.9 * 3.6 6.2
70–74 years 1,180 4.3 * 3.1 5.5
75–79 years 847 4.0 * 2.2 5.9
80–84 years 505 2.8 * 1.3 4.4
85+ years 264 7.5 * 4.9 10.3
Asian or Pacific Islander
30–34 years ~ ~ ~ ~
35–39 years ~ ~ ~ ~
40–44 years 125 2.2 -1.8 6.4
45–49 years 221 5.3 * 1.8 9
50–54 years 353 6.0 * 3.4 8.6
55–59 years 513 4.6 * 3.1 6.1
60–64 years 699 5.7 * 4.3 7.1
65–69 years 788 6.9 * 5.3 8.5
70–74 years 768 6.4 * 5.1 7.7
75–79 years 690 5.8 * 4 7.7
80–84 years 523 6.3 * 4.5 8.3
85+ years 353 7.5 * 5.2 9.9
Hispanics
30–34 years ~ ~ ~ ~
35–39 years 123 1.9 -2.4 6.4
40–44 years 252 5.7 * 2.8 8.6
45–49 years 454 3.9 * 1.5 6.4
50–54 years 745 6.3 * 5 7.6
55–59 years 914 7.2 * 5.6 8.8
60–64 years 1,152 7.9 * 6.6 9.2
65–69 years 1,119 7.3 * 6 8.6
70–74 years 1,090 5.5 * 4.1 6.9
75–79 years 866 5.3 * 3.9 6.7
80–84 years 545 6.3 * 3.9 8.8
85+ years 307 8.2 * 4.6 11.8
Females
White
30–34 years 138 0.8 -2.6 4.3
35–39 years 284 0.3 -2.4 3.1
40–44 years 672 0 -1.6 1.6
45–49 years 1,427 -0.2 -1.6 1.3
50–54 years 2,697 1.6 * 0.6 2.6
55–59 years 4,402 3.6 * 2.6 4.6
60–64 years 5,793 4.7 * 4.1 5.4
65–69 years 7,150 5.0 * 4.3 5.8
70–74 years 7,806 2.5 * 1.7 3.2
75–79 years 8,183 1.3 * 0.8 1.7
80–84 years 6,672 1.7 * 0.9 2.5
85+ years 5,120 4.2 * 3.6 4.8
Black
30–34 years ~ ~ ~ ~
35–39 years ~ ~ ~ ~
40–44 years 194 -0.2 -3.3 3.1
45–49 years 454 1.4 -0.4 3.3
50–54 years 734 3.1 * 1.3 4.8
55–59 years 1,043 6.3 * 4.7 7.9
60–64 years 1,386 6.0 * 4.7 7.2
65–69 years 1,478 5.3 * 3.7 6.9
70–74 years 1,353 3.6 * 2.5 4.6
75–79 years 1,205 3.2 * 2.2 4.3
80–84 years 899 3.4 * 2.1 4.7
85+ years 602 3.6 * 1.3 5.9
Asian or Pacific Islander
30–34 years ~ ~ ~ ~
35–39 years ~ ~ ~ ~
40–44 years 110 3.0 * 0 6
45–49 years 186 4.0 * 0.7 7.4
50–54 years 286 2.8 -1.1 6.9
55–59 years 474 5.6 * 3.9 7.4
60–64 years 625 7.1 * 5.5 8.7
65–69 years 775 5.8 * 4.7 7
70–74 years 866 5.2 * 3.8 6.6
75–79 years 861 5.8 * 4 7.7
80–84 years 662 6.2 * 4 8.5
85+ years 475 9.7 * 7.7 11.8
Hispanic
30–34 years ~ ~ ~ ~
35–39 years 118 6.5 * 2.7 10.5
40–44 years 206 6.2 * 4 8.5
45–49 years 387 6.1 * 3.9 8.3
50–54 years 563 6.4 * 4.4 8.4
55–59 years 808 6.3 * 4.3 8.3
60–64 years 1,035 7.2 * 5.7 8.7
65–69 years 1,112 7.0 * 5.5 8.6
70–74 years 1,133 4.9 * 3.8 6
75–79 years 1,080 4.7 * 3.7 5.7
80–84 years 722 7.8 * 6.6 9
85+ years 515 6.8 * 4.7 8.9
Males
Histological Types Count APC LCI UCI
White
Adenocarcinoma, not otherwise specified 39,237 3.3 * 3 3.5
Ductal adenocarcinoma excluding cystic or mucinous 6,292 6.6 * 6 7.3
Ductal specified as arising from an intraductal
papillary mucinous neoplasm
195 4.6 * 2 7.3
Non-secretory Endocrine 2,572 3.8 * 0.7 7.1
Secretory endocrine 67 1.6 -2.2 5.6
Carcinoid tumors 1,244 32.5 * 26.8 38.4
Acinar cell adenocarcinomas 242 5.9 * 3.1 8.7
Mucinous adenocarcinoma 2,079 -3.0 * -3.9 -2.1
Other adenocarcinoma 170 -0.4 -3 2.3
Black
Adenocarcinoma, not otherwise specified 6,203 4.2 * 3.7 4.7
Ductal adenocarcinoma excluding cystic or mucinous 859 7.5 * 6.5 8.6
Endocrine: non-secretory 328 6.1 * 1.1 11.3
Mucinous adenocarcinoma 274 -2.7 * -4.9 -0.5
American Indian/Alaska Native
Adenocarcinoma, not otherwise specified 281 7.0 * 3.9 10.2
Ductal adenocarcinoma excluding cystic or mucinous 40 13.4 * 8.4 18.7
Asian or Pacific Islander
Adenocarcinoma, not otherwise specified 3,334 5.7 * 4.8 6.5
Ductal adenocarcinoma excluding cystic or mucinous 649 8.5 * 6.6 10.4
Endocrine: non-secretory 237 6.7 * 2 11.5
Mucinous adenocarcinoma 183 2.1 -1.3 5.5
Hispanics
Adenocarcinoma, not otherwise specified 5,208 6.1 * 5.4 6.7
Ductal adenocarcinoma excluding cystic or mucinous 807 11.3 * 9.6 13
Endocrine: non-secretory 328 6.8 * 2.9 10.8
Mucinous adenocarcinoma 237 2 -0.4 4.5
Females
White
Adenocarcinoma, not otherwise specified 34,955 2.9 * 2.6 3.1
Ductal adenocarcinoma excluding cystic or mucinous 5,736 6.1 * 5.5 6.8
Cystic adenocarcinoma 185 -9.1 * -12.1 -6.1
Ductal specified as arising from an intraductal
papillary mucinous neoplasm
165 3.4 * 0.9 5.9
Endocrine: non-secretory 1,785 3.7 * 0.5 7
Secretory endocrine 80 -1.8 -5 1.6
Carcinoid tumors 863 30.3 * 24.5 36.4
Acinar cell adenocarcinomas 82 2.1 -1.3 5.7
Mucinous adenocarcinoma 2,032 -2.7 * -3.7 -1.6
Other adenocarcinoma 130 -1.1 -4.9 2.9
Black
Adenocarcinoma, not otherwise specified 6,615 4.0 * 3.5 4.4
Ductal adenocarcinoma excluding cystic or mucinous 961 8.4 * 6.8 10
Endocrine: non-secretory 363 3.7 -0.2 7.8
Carcinoid tumors 228 26.9 * 20.9 33.2
Mucinous adenocarcinoma 355 -2.8 * -4.7 -0.9
American Indian/Alaska Native
Adenocarcinoma, not otherwise specified 260 1.1 -1.2 3.5
Ductal adenocarcinoma excluding cystic or mucinous 43 7.1 * 3.9 10.5
Asian or Pacific Islander
Adenocarcinoma, not otherwise specified 3,552 5.7 * 5 6.4
Ductal adenocarcinoma excluding cystic or mucinous 746 9.6 * 7.5 11.7
Endocrine: non-secretory 196 4.6 -0.9 10.4
Mucinous adenocarcinoma 195 0.1 -3.2 3.5
Hispanic
Adenocarcinoma, not otherwise specified 5,148 6.0 * 5.3 6.7
Ductal adenocarcinoma excluding cystic or mucinous 872 10.1 * 8.2 12
Endocrine: non-secretory 315 6.5 * 2.7 10.6
Mucinous adenocarcinoma 307 -0.4 -2.5 1.7

APC = Annual percent change; UCI, LCI = Upper, Lower 95% confidence interval.

Confidence intervals are 95% for trends.

Percent changes were calculated using 1 year for each end point; APCs were calculated using weighted least squares method.

~ Statistic could not be calculated due to lower number of cases or at least one year with no reported cases.

* The APC is significantly different from zero (p<0.05).

Cases and annual percentage changes were only mentioned if there were enough cases to yield results after temporal trends analysis.

Results

Temporal trends

SEER 18 allowed us to explore short-term, nonetheless, relatively recent and previously unreported trends in pancreatic cancer ( Table 1) ( Figure 1). The incidence rate of white males has increased significantly during 2000–2017 (APC = 3.5%) compared to previously reported APC of 0.95% from 1994–2013 5. The incidence of white females also increased from an APC of 1.29% (1999–2013) to 2.9% (2000–2017) 5. Rates among black males and females have also increased in recent years, per our analysis, with an APC of 4.2% each, respectively. Previously, the rates among black males decreased, while rates remained unchanged among black females (1975–2013) 5.

Figure 1. Pancreatic cancer incidence trends by gender and race based on SEER 18 (2000–2017).

Figure 1.

a: Females, b: Males.

Rates among Hispanic men and women have continued to increase (APC = 6.5% and 6.4%). Similarly, rates among American Indian/Alaska Native in men increased more than women (APC = 7.4% vs. 2.1%). In Asian or Pacific Islander, the APC was similar in both genders (6.1%) as compared to lower incidence rates of 0.16% for males and 1.23% for females (1992–2013) 5.

There was a positive trend in rates for white males from ages 30–39 and ≥50 years for the 5-year age groups up to 85 and above as shown in Table 2 and Figure 2. White females showed a statistically significant positive trend from age ≥50. Interestingly, ages 40–49 showed a negative trend in white males, and age group 40–44 had a statistically significant negative APC of -2.3%.

Figure 2. Pancreatic cancer incidence trends by age groups, gender and race based on SEER 18 (2000–2017).

Figure 2.

a: Males, b: Females.

Both genders in the black population showed a positive trend after age ≥ 45 ( Table 2) ( Figure 2). It was impossible to calculate APCs among younger age groups for black females due to at least one year with zero cases. Age-specific rates also rose among Asians or pacific islanders and Hispanic men from ages ≥ 35 and ≥ 40, respectively ( Figure 2). APCs for females of Asians or pacific islanders and Hispanic ethnicity also showed a positive trend after ages ≥ 40 and ≥ 35, respectively ( Figure 2). Further analysis was performed to explore trends in American Indian/Alaskan native ( Figure 2). However, APCs could not be calculated in either males or females for any age group due to at least one year with zero cases. The results are therefore not shown in tables. From 2000 to 2017, for ages, more than 30 years, 152,548 of 190,586 pancreatic cancer cases (80.04%) diagnosed had a microscopic confirmation. This represented an increase compared with the 77% microscopically confirmed cases from 1992–2013, including all ages. (Results are not shown). We did not report the analysis of the temporal trends by following histologic-type groups due to the number of cases being too low: cystic adenocarcinoma (n= 408), ductal specified as arising from an IPMN (n = 520), secretory endocrine (n = 203), other adenocarcinomas: acinar cell (n = 438), solid pseudopapillary tumors (n = 228), other adenocarcinomas (n = 448), other non-carcinomas (n = 6).

Rates for pancreatic adenocarcinoma, the most common histologic type of pancreatic cancer, continued to rise in all ethnicities from 2000–2017. The rates for ductal adenocarcinoma (excluding mucinous and cystic) showed a positive trend in all races (including American Indian/Alaska Native) with the APC ≥ 6 % for females and APC ≥ 6.5 % for males ( Table 2) ( Figure 3). The rates of non-secretory endocrine tumors showed a decline in both genders of all five races in recent years after showing an initial positive trend till 2010. However, the APC from 2000–2017 remained positive and ≥ 3.5% for males and females ( Table 2). APC for American Indian/Alaska Native was not calculated due to at least one year with zero cases; however, trends are reported in Figure 3.

Figure 3. Pancreatic cancer incidence trends by age groups, gender and histological type based on SEER 18 (2000–2017).

Figure 3.

a: Males, b: Females.

Interestingly, the rates for carcinoid endocrine tumors showed a positive trend and rise in rates from 2010 and onwards ( Figure 3), which was not reported previously. The APC was highest in white males and females, and black females (32.5%, 30.3%, and 26.9%, respectively). APCs for the rest of the races were not reported as statistics were incalculable as at least one year had no reported cases from 2000 to 2017.

Male to female IRRs

In SEER 18 (2000–2017), 152,548 cases were microscopically confirmed from ages ≥ 30; males: 79081 and females: 73,467. This was higher than previously reported rates, which was 69,049 in males and 69,548 in females (2000–2013) 5. The IRR was greater in males’ total cases (IRR 1.32,95% CI 1.30-1.33) ( Table 3). All age groups from 35 and above showed an increased incidence risk in males vs. females (IRRs >1: increased risk) ( Table 3). Rates among males were higher compared to females for all histological subtypes except ductal cystic adenocarcinoma (0.5,95% CI 0.4-0.6), secretory endocrine tumors (0.9, 95% CI 0.9-1.3), solid pseudopapillary (0.2, 95% CI 0.2-0.3) and non-carcinomas (0.1, 95% CI 0.7-7.7). Carcinoid endocrine tumors also showed a greater IRR in males (1.4, 95% CI 1.3-1.5) ( Table 3).

Table 3. Total cases, rates, and male to female incidence rate ratios, by age group and histologic type (2000–2017).

Males and Females Males Females Male/Female
Count % of
total
Count % of
total
Rate Count % of
total
Rate IRR LCI UCI
Total cases 152548 100 79081 51.84 19.4 73467 48.15 14.7 1.32 1.30 1.33
Age groups
30–34 years 543 0.35 243 0.3 0.5 300 0.4 0.6 0.8 0.67 0.95
35–39 years 1,197 0.78 646 0.8 1.2 551 0.7 1 1.2 1.04 1.31
40–44 years 2,651 1.7 1,458 1.8 2.7 1,193 1.6 2.2 1.2 1.14 1.33
45–49 years 5,668 3.7 3,182 4.0 5.9 2,486 3.3 4.5 1.3 1.24 1.38
50–54 years 10,364 6.7 6,041 7.6 11.9 4,323 5.8 8.2 1.5 1.39 1.50
55–59 years 15,815 10.3 9,025 11.4 20.4 6,790 9.2 14.5 1.4 1.37 1.45
60–64 years 20,378 13.3 11,465 14.49 32.5 8,913 12.1 23.1 1.4 1.37 1.44
65–69 years 23,226 15.2 12,645 15.98 46.8 10,581 14.4 34.4 1.4 1.32 1.39
70–74 years 23,319 15.2 12,082 15.27 60 11,237 15.3 46.1 1.3 1.27 1.34
75–79 years 21,789 14.2 10,418 13.17 69.4 11,371 15.5 56.9 1.2 1.19 1.25
80–84 years 16,467 10.7 7,476 9.4 72.5 8,991 12.2 57.4 1.3 1.23 1.30
85+ years 11,131 7.2 4,400 5.5 53.8 6,731 9.1 40.5 1.3 1.28 1.38
Histological type
Total 139267 100 72097 51.76 17.6 67170 48.23 13.5 1.31 1.29 1.32
Adenocarcinoma, not otherwise specified 104,926 75.3 54344 75.4 13.3 50582 75.3 10.1 1.3 1.30 1.34
Ductal adenocarcinoma excluding cystic
or mucinous
17,026 12.2 8658 12 2.1 8368 12.5 1.7 1.25 1.21 1.3
Cystic adenocarcinoma 408 0.2 118 0.1 0.0 290 0.4 0.1 0.5 0.4 0.6
Ductal specified as arising from an
intraductal papillary mucinous neoplasm
520 0.3 268 0.3 0.1 258 0.3 0.1 1.3 1.1 1.5
Endocrine: non-secretory 6,167 4.4 3484 4.8 0.8 2683 3.9 0.6 1.5 1.4 1.6
Secretory endocrine 203 0.1 94 0.1 0.0 109 0.1 0.0 0.9 0.9 1.3
Carcinoid tumors 3,201 2.2 1753 2.4 0.4 1448 2.1 0.3 1.4 1.3 1.5
Acinar cell adenocarcinomas 438 0.3 314 0.4 0.1 124 0.2 0.0 3.0 2.5 3.8
Mucinous adenocarcinoma 5,696 4.1 2790 3.9 0.7 2906 4.3 0.6 1.2 1.1 1.2
Solid pseudopapillary tumors 228 0.2 42 0.05 0.0 186 0.3 0.0 0.2 0.2 0.3
Other adenocarcinoma 448 0.3 229 0.3 0.1 219 0.3 0.1 1.3 1.1 1.5
Other non-carcinomas 6 0.004 3 0.004 0.0 3 0.004 0.0 0.9 0.1 7.7

Rates are per 100 000 person-years, age-adjusted to the 2000 US Standard Population (19 age groups - Census P25–1130).

IRR = Incidence Rate Ratios (based on unrounded rates); LCI, UCI = lower, upper 95% confidence interval.

Confidence intervals (Tiwari mod) are 95% for the ratios.

Incidence risk ratios IRRs by racial/ethnic group

For SEER 18 (2000–17), the highest rates for pancreatic cancer in ages greater than 30, were in both black males and females (IRR = 1.21 and 1.36, respectively) when compared to white (non-Hispanic) ethnicity. Incidence, when compared to white (non-Hispanic) ethnicity, was higher in both black males and females (IRR = 1.21 and 1.36, respectively). The rates for both genders in American Indian/Alaska, Native Asian, or Pacific Islander Hispanic (All Races) was lower as compared to the white(non-Hispanic) race ( Table 4).

Table 4. Total cases, rates, and male to female incidence rate ratios by gender and racial/ethnic group, (2000–2017).

Males Females
Race Count Rate IRR LCI UCI Count Rate IRR LCI UCI
White 56,991 19.8 0 0 0 50,344 14.5 0 0 0
Black 8,807 23.9 1.21 1.18 1.24 9,489 19.6 1.36 1.33 1.39
American Indian/Alaska Native 396 14.9 0.75 0.67 0.84 383 11.8 0.82 0.74 0.91
Asian or Pacific Islander 5,138 14.9 0.76 0.73 0.78 5,404 12.4 0.85 0.83 0.88
Hispanic (All Races) 7,616 16.6 0.84 0.82 0.86 7,751 14.1 0.97 0.95 0.99

Rates are per 100 000 person-years, age-adjusted to the 2000 US Standard Population (19 age groups - Census P25–1130).

IRR = Incidence Rate Ratios (based on unrounded rates); LCI, UCI = lower, upper 95% confidence interval.

Confidence intervals (Tiwari mod) are 95% for the ratios.

The reference group is White non-Hispanic.

Discussion

Our statistical analysis for SEER 18 registry revealed reportable findings by histologic subtype and demographic details. Incidence rates of pancreatic carcinomas increased amongst white males and females consistently. Incidence rates for black, Asian, or pacific inlander and Hispanics all rose in recent years for both genders. Rates for American Indian/Alaskan natives were inconsistent throughout 2000–2017; however, the final annual percent change remained positive for males (7.4%, CI 4.7-10.1) and females (2.7%, 0.7-4.7). Based on histological type, the overall increase in incidence remained secondary to pancreatic adenocarcinoma, as mentioned in a previous similar study 5.

Pancreatic carcinoma rates more predominantly rose in males when compared to females. In white males and females, there was a female prominence noted for incidence rates of age group 30–34 ( Table 2, Table 3). Rates for other ethnicities for ages <45 were comparable or could not be analyzed due to the lower number of cases. Rates of common histologic types were more in males, except for cystic adenocarcinoma, secretory endocrine cancers, solid pseudopapillary cancers, and non-carcinomas. This differs based on the histological type could be attributed to cystic adenocarcinoma and solid pseudopapillary cancers as they had the highest female predominance. Previous research comparing male to female incidence rate ratios also came to a similar conclusion for long-term rates from 1975–2003 and 2000 – 2013 5. A review of 718 patients in 2005 stated a female predominance of solid pseudopapillary pancreatic cancers; almost 90% occurred in younger females aged between 19 to 50, with a ratio of close to 10:1 for females to males 11. A systemic review also showed an increased predominance of cystic adenocarcinomas in females, and our results were consistent with these studies 12.

An interesting finding in our analysis was the recent rise in pancreatic endocrine carcinoid tumors in all ethnicities. There was a male predominance with (IRR 1.4%, CI 1.3-1.5). The rates were highest in white males and started to increase after 2010 in all races except American Indian/Alaska Native who showed sporadic rise ( Figure 3). The black and Asian or pacific inlanders' incidence rates showed some plateau/decline in recent years ( Figure 3). A previous study on pancreatic neuroendocrine tumors (PNETs) suggested that cigarette smoking, Type II Diabetes, and family history in a first-degree relative are independent risk factors for non-functional PNETs. Another independent risk factor for functional PNETs was found to be heavier consumption of alcohol 13. No study currently comments solely on the risk factors of pancreatic carcinoid tumors, and it would be interesting to see associated risk factors for this recent rise. Our analysis revealed a rising rate of pancreatic carcinoid tumors with age, however, the results declined for ages >75 (results not shown).

Rates for intraductal papillary mucinous tumors and secretory endocrine carcinomas were similar in both genders. IPMN are malignancies of the pancreas that grow within the pancreatic ducts and produce mucin, hence the name. The risk factors of IPMN are not well understood. However, possible risk factors include insulin-dependent diabetes mellitus, chronic pancreatitis, positive family history, and smoking 14. Our analysis revealed a decline in mucinous adenocarcinomas ( Figure 3). This is consistent with the previously reported study 5. This can be explained by the fact that improved diagnostic imaging has enabled the detection of cystic or mucinous precursor lesions at an earlier stage. Our analysis only included only malignant lesions 15.

Numerous risk factors exist for pancreatic carcinoma and could be the reason behind the rising incidence. Individuals with non-O blood groups (type A, AB, or B) are more prone to the risk of pancreatic cancer 16. A possible link between Helicobacter pylori infection and non-O blood type may also exist; however, evidence is still lacking 17. Cystic fibrosis patients are at a greater risk of pancreatic cancer, especially adenocarcinoma, as their life span increases. It was also two to five-fold higher in patients with a history of organ transplantation 18. Up to 10% of pancreatic cancer patients have a family history 19. Some studies, though not explicit, identified a germline mutation involving a known susceptibility gene for pancreatic cancer (including BRCA, ATM, CDKN2A and PALB2) in patients with familial etiology 20.

Chronic pancreatitis is also a risk factor for pancreatic cancer 21. This is hypothesized due to inflammation-induced metaplasia of the acinar cells into ductal cells by NF-kB and matrix metalloproteinases 21. Patients with a type of neoplastic pancreatic cyst, intraductal papillary mucinous neoplasm of the pancreas (IPMN) can develop an invasive malignancy called IPMN-associated adenocarcinoma. These patients can also develop ductal adenocarcinoma 22. Smoking is the most common cause of pancreatic cancer. Studies show a linear relationship with the number of cigarettes smoked 23. However, the risk of pancreatic cancer decreases by 48% two years after smoking cessation. This is equivalent to that of non-smokers by 10 to 15 years after smoking cessation 23. Individuals who struggle with body weight develop pancreatic cancer at a relatively younger age with shorter survival compared to individuals with normal bodyweight 24. Data regarding the effects of alcohol and coffee consumption has always been conflicting. Pooled analysis data showed a slight increase in the risk of pancreatic cancer in heavy drinkers and a high intake of coffee. This could be due to the confounder, which is cigarette smoking 25. An inverse relationship between consumption of a healthy diet and pancreatic cancer 26. However, the protective advantages of a healthy diet were only significant in men who were overweight/obese 26. Low levels of selenium and lycopene were found in subjects who developed pancreatic cancer in later life, however, the results are unclear 27. Though studies have shown an association with Hepatitis B and C with pancreatic cancer, the magnitude of risk is still significantly less than hepatocellular cancer 28. Numerous studies show an association between diabetes and pancreatic cancer. A meta-analysis showed the relative risk for pancreatic cancer in diabetes compared to the non-diabetic counterparts was 2.08 29. Defects in metabolism of glucose, insulin resistance, and hyperinsulinemia are few etiologic factors for pancreatic cancer 3032 . Increased risk of pancreatic cancer in patients with metabolic syndrome could be due to lower levels of adiponectin (a protein hormone linked to glucose level regulation and fatty acid breakdown), which results in a lack of insulin-sensitizing and anti-inflammatory capabilities 33.

Our study had its limitations, especially from an etiological point of view, as SEER does not report any risk factors, which can influence these trends. Comorbidities like obesity, diabetes, smoking are also not reported. There is a concern of migrating patients in and out of areas registered in the SEER database and selection bias. The data of the SEER registry holds high-grade quality, and statistics based on population can be informative of risk patterns and trends based on time. The critical strength of our studies was the large sample size, as SEER 18 covers more recent cases up to 2017 and covers almost 30% of the US population. It also allowed us to analyze histological types of pancreatic cancer.

Conclusion

Pancreatic cancer incidence rates have continued to rise according to SEER 18 (2000–2017) in the USA. Our analysis concludes incidence of pancreatic cancer patterns based on demographical data and histologic type. We report the new rising incidence of pancreatic carcinoid tumors and the continued rise of pancreatic adenocarcinoma. We also report an increased incidence of cystic adenocarcinoma and solid pseudopapillary cancers in females as compared to males. These trends could be secondary to known risk factors for pancreatic carcinomas. Further comparative data regarding exclusive risk factors and contributing factors for histological subtypes of pancreatic carcinomas, specially PNETs, are required to understand the recent increase in incidence.

Data availability

All data underlying the results are available as part of the article and no additional source data are required.

Author contributions

Hassam Ali: Conceptualization, Methodology, Software, Validation, Writing- Reviewing and Editing. Meghana Vallabhaneni: Data curation, Writing- Original draft preparation. Rahul Pamarthy: Visualization, Project administration, Investigation. Shiza Sarfraz: Supervision, software, resources. Hadiqa Ali: Software, Validation. Hamza Rafique: Writing- Reviewing and Editing.

Funding Statement

The author(s) declared that no grants were involved in supporting this work.

[version 1; peer review: 2 approved]

References

  • 1.Bray F, Ferlay J, Soerjomataram I, et al. : Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424. 10.3322/caac.21492 [DOI] [PubMed] [Google Scholar]
  • 2.Ward EM, Sherman RL, Henley SJ, et al. : Annual Report to the Nation on the Status of Cancer, Featuring Cancer in Men and Women Age 20-49 Years. J Natl Cancer Inst. 2019;111(12):1279–1297. 10.1093/jnci/djz106 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Siegel RL, Miller KD, Jemal A: Cancer statistics, 2020. CA Cancer J Clin. 2020;70(1):7–30. 10.3322/caac.21590 [DOI] [PubMed] [Google Scholar]
  • 4.Ilic M, Ilic I: Epidemiology of pancreatic cancer. World J Gastroenterol. 2016;22(44):9694–9705. 10.3748/wjg.v22.i44.9694 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Gordon-Dseagu VL, Devesa SS, Goggins M, et al. : Pancreatic cancer incidence trends: evidence from the Surveillance, Epidemiology and End Results (SEER) population-based data. Int J Epidemiol. 2018;47(2):427–439. 10.1093/ije/dyx232 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Surveillance Research Program, NCIs Division of Cancer Control and Population Sciences: SEER Registries. (20 march 2021, date last accessed). Reference Source [Google Scholar]
  • 7.Percy C, Van Holten V, Muir C: ICD- O International Classification of Diseases for Oncology.2nd edn Geneva: World Health Organization, 1990. Reference Source [Google Scholar]
  • 8.Fritz A, Percy C, Jack A, et al. : ICD-O International Classification of Diseases for Oncology.3rd edn Geneva: World Health Organization, 2000. Reference Source [Google Scholar]
  • 9.Surveillance Research Program, National Cancer Institute: SEER*Stat software. version 8.3.9. Reference Source [Google Scholar]
  • 10.Devesa SS, Donaldson J, Fears T: Graphical presentation of trends in rates. Am J Epidemiol. 1995;141(4):300–304. 10.1093/aje/141.4.300 [DOI] [PubMed] [Google Scholar]
  • 11.Papavramidis T, Papavramidis S: Solid pseudopapillary tumors of the pancreas: review of 718 patients reported in English literature. J Am Coll Surg. 2005;200(6):965–972. 10.1016/j.jamcollsurg.2005.02.011 [DOI] [PubMed] [Google Scholar]
  • 12.Nilsson LN, Keane MG, Shamali A, et al. : Nature and management of pancreatic mucinous cystic neoplasm (MCN): A systematic review of the literature. Pancreatology. 2016;16(6):1028–1036. 10.1016/j.pan.2016.09.011 [DOI] [PubMed] [Google Scholar]
  • 13.Ben Q, Zhong J, Fei J, et al. : Risk Factors for Sporadic Pancreatic Neuroendocrine Tumors: A Case-Control Study. Sci Rep. 2016;6:36073. 10.1038/srep36073 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Fukushima N, Mukai K: Pancreatic neoplasms with abundant mucus production: emphasis on intraductal papillary-mucinous tumors and mucinous cystic tumors. Adv Anat Pathol. 1999;6(2):65–77. 10.1097/00125480-199903000-00001 [DOI] [PubMed] [Google Scholar]
  • 15.Kaur S, Baine MJ, Jain M, et al. : Early diagnosis of pancreatic cancer: challenges and new developments. Biomark Med. 2012;6(5):597–612. 10.2217/bmm.12.69 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Guo Z, Heydari AR, Wu W, et al. : Characterization of gene-specific DNA repair by primary cultures of rat hepatocytes. J Cell Physiol. 1998;176(2):314–322. [DOI] [PubMed] [Google Scholar]
  • 17.Lowenfels AB, Maisonneuve P, Cavallini G, et al. : Pancreatitis and the risk of pancreatic cancer. International Pancreatitis Study Group. N Engl J Med. 1993;328(20):1433–1437. 10.1056/NEJM199305203282001 [DOI] [PubMed] [Google Scholar]
  • 18.Maisonneuve P, Marshall BC, Lowenfels AB: Risk of pancreatic cancer in patients with cystic fibrosis. Gut. 2007;56(9):1327–1328. 10.1136/gut.2007.125278 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Olson SH, Kurtz RC: Epidemiology of pancreatic cancer and the role of family history. J Surg Oncol. 2013;107(1):1–7. 10.1002/jso.23149 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Shindo K, Yu J, Suenaga M, et al. : Deleterious Germline Mutations in Patients With Apparently Sporadic Pancreatic Adenocarcinoma. J Clin Oncol. 2017;35(30):3382–3390. 10.1200/JCO.2017.72.3502 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Liou GY, Döppler H, Necela B, et al. : Macrophage-secreted cytokines drive pancreatic acinar-to-ductal metaplasia through NF-κB and MMPs. J Cell Biol. 2013;202(3):563–577. 10.1083/jcb.201301001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Xiao SY: Intraductal papillary mucinous neoplasm of the pancreas: an update. Scientifica (Cairo). 2012;2012:893632. 10.6064/2012/893632 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Bosetti C, Lucenteforte E, Silverman DT, et al. : Cigarette smoking and pancreatic cancer: an analysis from the International Pancreatic Cancer Case-Control Consortium (Panc4). Ann Oncol. 2012;23(10):1880–1888. 10.1093/annonc/mdr541 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Li D, Morris JS, Liu J, et al. : Body mass index and risk, age of onset, and survival in patients with pancreatic cancer. JAMA. 2009;301(24):2553–2562. 10.1001/jama.2009.886 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Michaud DS, Vrieling A, Jiao L, et al. : Alcohol intake and pancreatic cancer: a pooled analysis from the pancreatic cancer cohort consortium (PanScan). Cancer Causes Control. 2010;21(8):1213–1225. 10.1007/s10552-010-9548-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Arem H, Reedy J, Sampson J, et al. : The Healthy Eating Index 2005 and risk for pancreatic cancer in the NIH-AARP study. J Natl Cancer Inst. 2013;105(17):1298–1305. 10.1093/jnci/djt185 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Burney PG, Comstock GW, Morris JS: Serologic precursors of cancer: serum micronutrients and the subsequent risk of pancreatic cancer. Am J Clin Nutr. 1989;49(5):895–900. 10.1093/ajcn/49.5.895 [DOI] [PubMed] [Google Scholar]
  • 28.Huang J, Magnusson M, Törner A, et al. : Risk of pancreatic cancer among individuals with hepatitis C or hepatitis B virus infection: a nationwide study in Sweden. Br J Cancer. 2013;109(11):2917–2923. 10.1038/bjc.2013.689 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Batabyal P, Vander Hoorn S, Christophi C, et al. : Association of diabetes mellitus and pancreatic adenocarcinoma: a meta-analysis of 88 studies. Ann Surg Oncol. 2014;21(7):2453–2462. 10.1245/s10434-014-3625-6 [DOI] [PubMed] [Google Scholar]
  • 30.Carreras-Torres R, Johansson M, Gaborieau V, et al. : The Role of Obesity, Type 2 Diabetes, and Metabolic Factors in Pancreatic Cancer: A Mendelian Randomization Study. J Natl Cancer Inst. 2017;109(9):djx012. 10.1093/jnci/djx012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Michaud DS, Liu S, Giovannucci E, et al. : Dietary sugar, glycemic load, and pancreatic cancer risk in a prospective study. J Natl Cancer Inst. 2002;94(17):1293–1300. 10.1093/jnci/94.17.1293 [DOI] [PubMed] [Google Scholar]
  • 32.Wolpin BM, Bao Y, Qian ZR, et al. : Hyperglycemia, insulin resistance, impaired pancreatic β-cell function, and risk of pancreatic cancer. J Natl Cancer Inst. 2013;105(14):1027–1035. 10.1093/jnci/djt123 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Bao Y, Giovannucci EL, Kraft P, et al. : A prospective study of plasma adiponectin and pancreatic cancer risk in five US cohorts. J Natl Cancer Inst. 2013;105(2):95–103. 10.1093/jnci/djs474 [DOI] [PMC free article] [PubMed] [Google Scholar]
F1000Res. 2021 Sep 1. doi: 10.5256/f1000research.57873.r88966

Reviewer response for version 1

Harigopal Sandhyavenu 1

An interesting way of looking at the temporal trends of Pancreatic cancers. It is surprising to see increasing in the overall incidence, especially pancreatic endocrine carcinoid tumors among all ethnicities. Is it an actual rise in their number, or increasing positive tests with advanced diagnostic strategies? Either way this paper will allow the readers to look for possible correlation, if any. Overall this is an interesting article.

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Yes

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

General Internal Medicine, Cardiology, Geriatrics

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

F1000Res. 2021 Jul 12. doi: 10.5256/f1000research.57873.r88964

Reviewer response for version 1

Syed Hamza Bin Waqar 1

Interesting article which is dealing with SEER database to study one of the most invasive pancreatic CA out there. I like the design of the study and it's a smart idea to build up a database from SEER. It is interesting to note that PNETs are now going up the trend, although the reason is uncertain. It might be something that scientists/doctors would like to look into moving forward - as to why the incidence is increasing now? Is it just coincidence or is there is an actual correlation and if so, with what? A very thorough epidemiological, smart, and short study.

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Yes

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

Gastroenterology, Hematology-Oncology

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Associated Data

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

    Data Availability Statement

    All data underlying the results are available as part of the article and no additional source data are required.


    Articles from F1000Research are provided here courtesy of F1000 Research Ltd

    RESOURCES