Literature DB >> 31066497

Interethnic differences in pancreatic cancer incidence and risk factors: The Multiethnic Cohort.

Brian Z Huang1,2, Daniel O Stram3, Loic Le Marchand4, Christopher A Haiman3,5, Lynne R Wilkens4, Stephen J Pandol6, Zuo-Feng Zhang1, Kristine R Monroe3, Veronica Wendy Setiawan3,5.   

Abstract

While disparity in pancreatic cancer incidence between blacks and whites has been observed, few studies have examined disparity in other ethnic minorities. We evaluated variations in pancreatic cancer incidence and assessed the extent to which known risk factors account for differences in pancreatic cancer risk among African Americans, Native Hawaiians, Japanese Americans, Latino Americans, and European Americans in the Multiethnic Cohort Study. Risk factor data were obtained from the baseline questionnaire. Cox regression was used to estimate the relative risks (RRs) and 95% confidence intervals (CIs) for pancreatic cancer associated with risk factors and ethnicity. During an average 16.9-year follow-up, 1,532 incident pancreatic cancer cases were identified among 184,559 at-risk participants. Family history of pancreatic cancer (RR 1.97, 95% CI 1.50-2.58), diabetes (RR 1.32, 95% CI 1.14-1.54), body mass index ≥30 kg/m2 (RR 1.25, 95% CI 1.08-1.46), current smoking (<20 pack-years RR 1.43, 95% CI 1.19-1.73; ≥20 pack-years RR 1.76, 95% CI 1.46-2.12), and red meat intake (RR 1.17, 95% CI 1.00-1.36) were associated with pancreatic cancer. After adjustment for these risk factors, Native Hawaiians (RR 1.60, 95% CI 1.30-1.98), Japanese Americans (RR 1.33, 95% CI 1.15-1.54), and African Americans (RR 1.20, 95% CI 1.01-1.42), but not Latino Americans (RR 0.90, 95% CI 0.76-1.07), had a higher risk of pancreatic cancer compared to European Americans. Interethnic differences in pancreatic cancer risk are not fully explained by differences in the distribution of known risk factors. The greater risks in Native Hawaiians and Japanese Americans are new findings and elucidating the causes of these high rates may improve our understanding and prevention of pancreatic cancer.
© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Entities:  

Keywords:  cohort; epidemiology; ethnicity; incidence; minority; pancreatic cancer

Mesh:

Year:  2019        PMID: 31066497      PMCID: PMC6601579          DOI: 10.1002/cam4.2209

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.452


INTRODUCTION

Pancreatic cancer is one of the deadliest malignancies in the United States. It has a 5‐year survival rate of only 8% and is the third most common cancer‐related death among men and women.1 By 2030, pancreatic cancer is estimated to surpass colorectal cancer to become the second leading cause of cancer mortality.2 Given these circumstances, a better understanding of its risk factors is imperative for preventing pancreatic cancer occurrence. Ethnic differences in pancreatic cancer incidence have been investigated in several previous settings.3 Most prior literature has focused on the higher rates of pancreatic cancer in African Americans compared to whites,4, 5 with some research suggesting that this disparity may be partially explained by the greater prevalence of smoking, diabetes, and obesity among African Americans.4, 6 However, only a few studies have assessed other ethnic minorities, which have observed that Hispanics and Asians/Pacific Islanders have lower incidence rates of pancreatic cancer compared to whites and African Americans.7, 8 Additionally, no previous study has closely evaluated the relationships between known risk factors and pancreatic cancer across multiple ethnic minorities. Thus, there is limited information as to whether risk factors identified in past literature explain varying degrees of pancreatic cancer incidence between racial/ethnic subpopulations. The purpose of this study was to investigate differences in pancreatic cancer incidence across African Americans, Native Hawaiians, Japanese Americans, Latino Americans, and European Americans in the Multiethnic Cohort (MEC). In particular, we sought to assess the extent to which known risk factors account for these potential differences and whether the influence of specific risk factors varies by race/ethnicity. Understanding these differences may allow us to better elucidate pancreatic cancer etiology across ethnic groups and establish more targeted prevention strategies.

METHODS

Study population

The MEC was established in 1993‐1996 to investigate cancer etiology. It is comprised of >215,000 participants aged 45‐75 at entry recruited from Los Angeles County and Hawaii. The five main ethnic groups are European American, African American, Latino American, Japanese American, and Native Hawaiian.9 All participants completed a self‐administered baseline questionnaire, which included information on demographics, medical conditions, family history of cancer, and lifestyle factors. Individuals were excluded from this study if they were not in the five main race/ethnicity groups (n = 13,987), had a prior pancreatic cancer diagnosis (n = 56), or were missing information on diet, diabetes, body mass index (BMI), and smoking (n = 12,957). Smokers with missing pack‐years data were further excluded (n = 4,091).

Exposure assessment

Exposure information was obtained from the baseline questionnaire. Participants were asked to self‐report their race/ethnicity, height, weight, diabetes history, family history of cancer (first‐degree relative), and frequency and duration of cigarette smoking. Smoking was evaluated as overall status (never, past, current) and with pack‐year information (never, past with <20 pack‐years, past with ≥20 pack‐years, current with <20 pack‐years, current with ≥20 pack‐years). Height and weight measurements were used to calculate BMI (kg/m2). Alcohol use (g/day) and red meat (processed and nonprocessed) intake (g/kcal/day) in the year prior to cohort entry were assessed through a food frequency questionnaire validated for a multiethnic population.10

Outcome

Participants were followed from cohort entry to pancreatic cancer diagnosis, death, or end of follow‐up (31 December 2013). Annual linkages with the statewide Surveillance, Epidemiology and End Results (SEER) registries of Hawaii and California were used to identify incident cases of pancreatic cancer (ICD‐O‐3 codes C25.0‐C29.9). Death dates for right‐censoring were ascertained using linkages with death certificate files for Hawaii and California and the National Death Index.

Statistical analyses

Pancreatic cancer incidence rates, left truncated at age 45 and age‐standardized using the United States 2000 standard population, were calculated for each race/ethnicity group. Race/ethnicity‐specific incidence rates were compared to the incidence rates for European Americans by testing the standardized rate ratios. Cox models with time since cohort entry as the time metric were used to assess the influence of race/ethnicity and risk factors on pancreatic cancer incidence. Minimally adjusted models, with age and sex as strata variables and race/ethnicity as a covariate, were fitted for each exposure. We also ran fully adjusted models which included age and sex as strata variables and race/ethnicity, family history of pancreatic cancer, diabetes, BMI (<25, 25‐30, ≥30 kg/m2), smoking with pack‐year information (never, past with <20 pack‐years, past with ≥20 pack‐years, current with <20 pack‐years, current with ≥20 pack‐years), alcohol use (none, <24, 24‐48, >48 g/day), and red meat intake (examined as quartiles) as covariates. Trends were examined using a model that treated the exposure as a continuous variable coded as consecutive numbers (eg, 1, 2, 3). To account for potential residual confounding by smoking, we ran models incorporating more detailed smoking variables,11 including current status, number of cigarettes smoked, smoking duration, and time since quitting. As this further adjustment did not change the results, only the results from the original models are presented. Race/ethnicity‐stratified analyses were performed to evaluate the relationships between risk factors and pancreatic cancer in each subpopulation. Tests of heterogeneity were conducted using models with cross‐product terms for each risk factor and race/ethnicity. Population attributable fractions (PAF) were calculated for risk factors positively associated with pancreatic cancer using the method developed for cohort studies.12 This method calculates the PAF and 95% confidence intervals for various risk behavior modifications across specified follow‐up time intervals, while accounting for other risk factors and mortality as a competing risk. We calculated the PAFs associated with modifications in risk factors including BMI (≥25 to <25, ≥30 to <25 kg/m2), smoking (current to never), diabetes (yes to no), and red meat intake (second/third/fourth quartiles to first quartile). We also calculated PAFs for all of the aforementioned risk factors combined. Population attributable fractions were calculated for the entire cohort as well as for each racial/ethnic group over a 20‐year follow‐up period. Schoenfeld residuals were used to verify the proportional hazards assumption and Martingale and deviance residuals were assessed to determine model fit.13 Analyses were conducted using SAS 9.3 (Cary, NC) and reported P‐values are two‐sided.

RESULTS

This study consisted of 184,559 at‐risk individuals (100,969 females and 83,590 males). The largest racial/ethnic group was Japanese Americans (29.0%), followed by European Americans (25.1%), Latino Americans (22.0%), African Americans (16.7%), and Native Hawaiians (7.3%). The average age at cohort entry was 59.9 (standard deviation 8.8). Approximately half of the participants were nonsmokers (44.9%) and non‐alcohol users (51.2%), while nearly 60% of the cohort was either overweight or obese. In addition, 11.7% of participants had diabetes while only 1.7% had a family history of pancreatic cancer (Table 1).
Table 1

Baseline characteristics of Multiethnic Cohort Study participants from 1993 to 2013

CharacteristicTotal (N = 184,559)European American (N = 46,356)African American (N = 30,731)Native Hawaiian (N = 13,412)Japanese American (N = 53,429)Latino American (N = 40,631)
N%N%N%N%N%N%
Age at baseline (y)a 59.9 (8.8)58.9 (9.1)61.0 (9.0)56.4 (8.6)61.0 (9.1)59.7 (7.8)
Age group at baseline
<5031,09516.99,45420.44,45214.53,79128.38,43815.84,96012.2
50‐5427,67315.07,93817.14,28313.92,68320.07,04013.25,72914.1
55‐5929,37015.96,98515.14,54814.82,11015.76,79412.78,93322.0
60‐6431,74417.27,14415.44,29614.01,96114.68,89216.69,45123.3
65‐6932,40917.67,19015.56,36620.71,60111.910,61419.96,63816.3
≥7032,26817.57,64516.56,78622.11,2669.411,65121.84,92012.1
Sex
Male83,59045.321,43446.211,23536.65,88343.925,33647.419,70248.5
Female100,96954.724,92253.819,49663.47,52956.128,09352.620,92951.5
Family history of pancreatic cancer3,1751.78001.73571.21971.51,2502.35711.4
Diabetes21,56311.72,7415.94,82215.71,98814.85,62610.56,38615.7
Body mass index (kg/m2)
<2576,97341.721,35646.18,29527.03,57826.732,20860.311,53628.4
25‐3070,86538.416,85436.412,58040.95,03737.617,47132.718,92346.6
≥3036,72119.98,14617.69,85632.14,79735.83,7507.010,17225.0
Smoking status
Never82,85244.918,22939.311,91038.85,30539.626,99150.520,41750.2
Past72,08639.120,49944.211,90738.85,08237.920,15237.714,44635.6
Current29,62116.17,62816.56,91422.53,02522.66,28611.85,76814.2
Pack‐yearsa 10.2 (15.0)13.5 (17.6)10.0 (13.4)12.2 (15.8)9.8 (14.8)6.4 (11.5)
Smoking status, with pack‐year information
Never82,85244.918,22939.311,91038.85,30539.626,99150.520,41750.3
Past <20 pack‐years53,37028.913,70229.69,43130.73,64827.214,25326.712,33630.4
Past ≥20 pack‐years18,71610.16,79714.72,4768.11,43410.75,89911.02,1105.2
Current <20 pack‐years15,9608.72,7786.04,52814.71,55611.63,0065.64,09210.1
Current ≥20 pack‐years13,6617.44,85010.52,3867.81,46911.03,2806.11,6764.1
Alcohol use (g/day)
None94,44651.216,12434.817,18755.97,19753.733,28062.320,65850.8
<2469,00937.421,37946.110,85835.34,73135.315,71529.416,32640.2
24‐4813,1587.15,57312.01,5395.09126.83,0155.62,1195.2
>487,9464.33,2807.11,1473.75724.31,4192.71,5283.8
Red meat intake (g/kcal/day)
Q1 (0‐14.1)46,14025.014,90332.17,68125.02,18116.313,05124.48,32420.5
Q2 (14.1‐23.9)46,13925.012,03826.07,18623.43,06122.814,33526.89,51923.4
Q3 (23.9‐35.2)46,14025.010,42822.57,28223.73,80928.414,35026.910,27125.3
Q4 (35.2‐216.5)46,14025.08,98719.48,58227.94,36132.511,69321.912,51730.8
Education
≤12 y79,97843.312,14926.212,31240.17,03452.521,17339.627,31067.2
Some college/vocational54,49929.514,58431.511,36337.04,00029.815,78129.58,77121.6
College graduate49,31126.719,53742.16,91922.52,34417.516,34430.64,16710.3
Missing7710.4860.21370.5340.31310.33830.9

All tests comparing distribution of risk factors across race/ethnicity groups had P < 0.0001.

Mean (standard deviation).

Baseline characteristics of Multiethnic Cohort Study participants from 1993 to 2013 All tests comparing distribution of risk factors across race/ethnicity groups had P < 0.0001. Mean (standard deviation). The prevalence of risk factors differed across racial/ethnic groups. Family history of pancreatic cancer was slightly more prevalent in Japanese Americans (2.3%) compared to the other subpopulations. Diabetes was less common in European Americans (5.9%) and more common in Japanese Americans (10.5%), Native Hawaiians (14.8%), African Americans (15.7%), and Latino Americans (15.7%). African Americans, Native Hawaiians, and Latino Americans were more likely to have BMI ≥25 kg/m2. Current smoking was more prevalent in Native Hawaiians (22.6%) and African Americans (22.5%), and less prevalent among Japanese Americans (11.8%) and Latino Americans (14.2%). Alcohol use was more commonly observed in European Americans (65.2%), while red meat intake (highest quartile) was greater among African Americans (27.9%), Latino Americans (30.8%), and Native Hawaiians (32.5%) (Table 1). There were 1,532 incident cases of pancreatic cancer over an average follow‐up period of 16.9 years. Age‐standardized pancreatic cancer incidence rates were lowest in European Americans and highest in Native Hawaiians. Compared to European Americans (41.3 per 100,000 person‐years), Native Hawaiians (73.4), Japanese Americans (56.8), and African Americans (52.7) all had higher rates (P < 0.01). There was no difference in the incidence rates between Latino Americans (42.0) and European Americans (P = 0.87) (Table 2).
Table 2

Age‐adjusted incidence rates of pancreatic cancer, by race/ethnicity

Race/ethnicityNCasesPerson‐yearsAge‐adjusted incidence ratea P b
European American46,356306784,877.941.3 
African American30,731277488,746.552.7<0.01
Native Hawaiian13,412128221,361.673.4<0.001
Japanese American53,429545922,177.056.8<0.0001
Latino American40,631276697,674.842.00.87

Incidence rate per 100,000 person‐years, age‐standardized to US Census 2000 standard population, left truncated at age 45.

From a test comparing incidence rates to European Americans based on standardized rate ratios.

Age‐adjusted incidence rates of pancreatic cancer, by race/ethnicity Incidence rate per 100,000 person‐years, age‐standardized to US Census 2000 standard population, left truncated at age 45. From a test comparing incidence rates to European Americans based on standardized rate ratios. We also detected an increased risk of pancreatic cancer for Native Hawaiians, Japanese Americans, and African Americans in our Cox models (Table 3). When only adjusting for age and sex, Native Hawaiians (RR 1.75, 95% CI 1.42‐2.15), Japanese Americans (RR 1.32, 95% CI 1.15‐1.52), and African Americans (RR 1.34, 95% CI 1.13‐1.57) were all at greater risk for pancreatic cancer compared to European Americans. These risks remained elevated after adjusting for family history of pancreatic cancer, diabetes, BMI, smoking, alcohol, and red meat intake. Native Hawaiians had a 60% increased risk (RR 1.60, 95% CI 1.30‐1.98), Japanese Americans had a 33% increased risk (RR 1.33, 95% CI 1.15‐1.54), and African Americans had a 20% increased risk (RR 1.20, 95% CI 1.01‐1.42) compared to European Americans (Table 3). Native Hawaiians also had a higher risk compared to African Americans (P = 0.01), but not compared to Japanese Americans (P = 0.06). The risks for Japanese Americans and African Americans were not different from each other (P = 0.21).
Table 3

Associations of race/ethnicity and various risk factors and pancreatic cancer risk

Risk factorCasesPerson‐years Minimally adjusteda RR (95% CI) Fully adjustedb RR (95% CI)
Race/ethnicity
European American306784,877.91 (ref)1 (ref)
African American277488,746.51.34 (1.13‐1.57)1.20 (1.01‐1.42)
Native Hawaiian128221,361.61.75 (1.42‐2.15)1.60 (1.30‐1.98)
Japanese American545922,177.01.32 (1.15‐1.52)1.33 (1.15‐1.54)
Latino American276697,674.80.95 (0.81‐1.12)0.90 (0.76‐1.07)
Family history of pancreatic cancer
No1,4783,060,983.61 (ref)1 (ref)
Yes5453,854.11.93 (1.47‐2.53)1.97 (1.50‐2.58)
Diabetes
No1,3162,808,732.71 (ref)1 (ref)
Yes216306,105.01.37 (1.18‐1.58)1.32 (1.14‐1.54)
Body mass index (kg/m2)
<256251,299,492.51 (ref)1 (ref)
25‐305991,203,354.11.09 (0.97‐1.23)1.09 (0.97‐1.23)
≥30308611,991.01.27 (1.10‐1.47)1.25 (1.08‐1.46)
ptrend c   <0.010.01
Smoking status, with pack‐year information
Never6791,459,583.71 (ref)1 (ref)
Past <20 pack‐years414908,445.21.00 (0.88‐1.13)0.99 (0.87‐1.12)
Past ≥20 pack‐years152279,328.21.02 (0.85‐1.22)0.97 (0.81‐1.17)
Current <20 pack‐years140264,554.31.44 (1.20‐1.74)1.43 (1.19‐1.73)
Current ≥20 pack‐years147202,926.31.77 (1.47‐2.13)1.76 (1.46‐2.12)
ptrend c   <0.0001<0.0001
Alcohol use (g/day)
None8201,570,115.61 (ref)1 (ref)
<245441,197,773.70.97 (0.87‐1.09)0.98 (0.88‐1.11)
24‐48108221,918.61.03 (0.83‐1.26)1.00 (0.81‐1.24)
>4860125,029.80.99 (0.76‐1.30)0.95 (0.73‐1.25)
ptrend c   0.940.66
Red meat intake (g/kcal/day)
Q1 (0‐14.1)347790,241.81 (ref)1 (ref)
Q2 (14.1‐23.9)427778,626.91.26 (1.10‐1.46)1.23 (1.06‐1.42)
Q3 (23.9‐35.2)384779,380.71.20 (1.03‐1.38)1.13 (0.97‐1.31)
Q4 (35.2‐216.5)374766,588.41.29 (1.11‐1.49)1.17 (1.00‐1.36)
ptrend c   <0.010.11

Age and sex as strata variables, race as covariate.

Age and sex as strata variables, race, smoking with pack‐year information, alcohol use, BMI, family history of pancreatic cancer, diabetes, and red meat intake as covariates.

From a model treating exposure as continuous variable coded as consecutive numbers (eg, 1, 2, 3).

Associations of race/ethnicity and various risk factors and pancreatic cancer risk Age and sex as strata variables, race as covariate. Age and sex as strata variables, race, smoking with pack‐year information, alcohol use, BMI, family history of pancreatic cancer, diabetes, and red meat intake as covariates. From a model treating exposure as continuous variable coded as consecutive numbers (eg, 1, 2, 3). We observed higher pancreatic cancer risk associated with family history of pancreatic cancer (RR 1.97, 95% CI 1.50‐2.58), diabetes (RR 1.32, 95% CI 1.14‐1.54), BMI ≥30 kg/m2 (RR 1.25, 95% CI 1.08‐1.46), current smoking (<20 pack‐years: RR 1.43, 95% CI 1.19‐1.73; ≥20 pack‐years: RR 1.76, 95% CI 1.46‐2.12), and red meat (Q4 vs Q1: RR 1.17, 95% CI 1.00‐1.36) (Table 3). While there was no heterogeneity across race/ethnicity, the associations of these risk factors appeared stronger for particular subgroups (Table 4). The association between first‐degree family history of pancreatic cancer and risk of pancreatic cancer was greatest for Japanese Americans (RR 2.43, 95% CI 1.69‐3.50) and African Americans (RR 2.18, 95% CI 1.07‐4.41), while diabetes had the largest influence in Native Hawaiians (RR 2.01, 95% CI 1.30‐3.12). BMI ≥30 kg/m2 had the greatest association for Japanese Americans (RR 1.79, 95% CI 1.30‐2.45), followed by Latino Americans (RR 1.36, 95% CI 0.96‐1.92), and Native Hawaiians (RR 1.28, 95% CI 0.79‐2.08). Current smoking status had the strongest association with pancreatic cancer among Japanese Americans (RR 1.92 95% CI 1.48‐2.49) and African Americans (RR 1.67, 95% CI 1.22‐2.31). Likewise, greater pack‐years of smoking had a larger impact for Japanese Americans (current smoking ≥20 pack‐years: RR 2.28, 95% CI 1.67‐3.12) and African Americans (current smoking ≥20 pack‐years: RR 1.85, 95% CI 1.17‐2.90). Red meat had the strongest influence in African Americans (highest vs lowest quartile: RR 1.48, 95% CI 1.03‐2.14).
Table 4

Association between risk factors and pancreatic cancer risk, by race/ethnicity

Risk factorEuropean AmericanAfrican AmericanNative HawaiianJapanese AmericanLatino American P b
CasesRR (95% CI)a CasesRR (95% CI)a CasesRR (95% CI)a CasesRR (95% CI)a CasesRR (95% CI)a
Family history of pancreatic cancer
No2991 (ref)2691 (ref)1261 (ref)5141 (ref)2701 (ref)0.48
Yes71.34 (0.63‐2.85)82.18 (1.07‐4.41)20.93 (0.23‐3.79)312.43 (1.69‐3.50)61.56 (0.69‐3.52) 
Diabetes
No2841 (ref)2311 (ref)1001 (ref)4821 (ref)2191 (ref)0.33
Yes221.40 (0.90‐2.19)461.19 (0.85‐1.65)282.01 (1.30‐3.12)631.10 (0.84‐1.44)571.54 (1.14‐2.09) 
Body mass index (kg/m2)
<251411 (ref)741 (ref)311 (ref)3141 (ref)651 (ref)0.37
25‐301100.91 (0.70‐1.18)1160.95 (0.71‐1.28)521.20 (0.76‐1.90)1831.17 (0.97‐1.42)1381.24 (0.92‐1.68) 
≥30551.06 (0.76‐1.46)870.94 (0.68‐1.29)451.28 (0.79‐2.08)481.79 (1.30‐2.45)731.36 (0.96‐1.92) 
ptrend d  0.89 0.72 0.42 <0.01 0.11 
Smoking statusc
Never1251 (ref)1051 (ref)531 (ref)2601 (ref)1361 (ref)0.71
Past1240.85 (0.66‐1.10)1011.08 (0.81‐1.43)440.88 (0.58‐1.33)1991.04 (0.85‐1.28)980.93 (0.70‐1.22) 
Current571.39 (1.00‐1.92)711.67 (1.22‐2.31)311.52 (0.95‐2.43)861.92 (1.48‐2.49)421.22 (0.84‐1.75) 
Smoking status, with pack‐year informationc
Never1251 (ref)1051 (ref)531 (ref)2601 (ref)1361 (ref)0.71
Past <20 pack‐years850.90 (0.68‐1.19)720.98 (0.72‐1.33)350.98 (0.63‐1.51)1361.04 (0.83‐1.30)860.96 (0.72‐1.27) 
Past ≥20 pack‐years390.76 (0.52‐1.10)291.56 (1.01‐2.40)90.62 (0.30‐1.29)631.09 (0.81‐1.48)120.75 (0.41‐1.38) 
Current <20 pack‐years191.29 (0.79‐2.11)461.60 (1.11‐2.31)151.53 (0.84‐2.78)311.53 (1.05‐2.24)291.18 (0.77‐1.78) 
Current ≥20 pack‐years381.43 (0.98‐2.09)251.85 (1.17‐2.90)161.51 (0.84‐2.71)552.28 (1.67‐3.12)131.32 (0.72‐2.42) 
ptrend d  0.14 <0.001 0.18 <0.0001 0.52 
Alcohol use (g/day)
None1031 (ref)1701 (ref)671 (ref)3471 (ref)1331 (ref)0.11
≤241411.02 (0.79‐1.32)900.82 (0.63‐1.07)441.11 (0.75‐1.66)1420.91 (0.74‐1.12)1271.20 (0.93‐1.55) 
24‐48340.92 (0.62‐1.37)120.75 (0.41‐1.37)101.18 (0.59‐2.37)411.31 (0.93‐1.84)110.70 (0.36‐1.35) 
>48281.29 (0.84‐1.99)50.46 (0.19‐1.15)71.54 (0.68‐3.50)151.01 (0.59‐1.72)50.51 (0.20‐1.25) 
ptrend d  0.65 0.04 0.35 0.72 0.44 
Red meat intake (g/kcal/day)
Q1 (0‐14.1)881 (ref)541 (ref)271 (ref)1301 (ref)481 (ref)0.30
Q2 (14.1‐23.9)901.26 (0.94‐1.70)661.40 (0.97‐2.02)310.80 (0.47‐1.35)1741.25 (0.99‐1.57)661.19 (0.82‐1.73) 
Q3 (23.9‐35.2)661.08 (0.78‐1.50)821.78 (1.25‐2.52)360.81 (0.49‐1.36)1351.00 (0.78‐1.28)651.10 (0.75‐1.61) 
Q4 (35.2‐216.5)621.22 (0.87‐1.72)751.48 (1.03‐2.14)340.66 (0.39‐1.13)1061.03 (0.78‐1.34)971.38 (0.96‐1.98) 
ptrend d  0.32 0.02 0.16 0.71 0.08 

Age and sex as strata variables, race, smoking status with pack‐year information, alcohol use, BMI, family history of pancreatic cancer, diabetes, and red meat intake as covariates.

P values for heterogeneity across race.

Smoking status and smoking status with pack‐year information assessed in separate models.

From a model treating exposure as continuous variable coded as consecutive numbers (eg, 1, 2, 3).

Association between risk factors and pancreatic cancer risk, by race/ethnicity Age and sex as strata variables, race, smoking status with pack‐year information, alcohol use, BMI, family history of pancreatic cancer, diabetes, and red meat intake as covariates. P values for heterogeneity across race. Smoking status and smoking status with pack‐year information assessed in separate models. From a model treating exposure as continuous variable coded as consecutive numbers (eg, 1, 2, 3). From the PAF calculations, diabetes, BMI ≥25, current smoking, and red meat intake altogether accounted for one fifth of pancreatic cancer cases (PAF 21.57, 95% CI 12.37‐29.81). Across racial/ethnic groups, this combination of risk factors explained similar proportions of cases in Latino Americans (32.21, 95% CI 5.94‐51.15), African Americans (29.48, 95% CI 3.73‐48.34), and Japanese Americans (19.75, 95% CI 5.22‐32.06), but lower proportions of cases in European Americans (9.00, 95% CI −12.20 to 26.19) and Native Hawaiians (7.10, 95% CI −46.51 to 41.10). When evaluating the individual risk factors, about 8% of cases could be attributed to BMI ≥25 (PAF 7.59, 95% CI 1.41‐13.37) and 3% to BMI ≥30 (PAF 3.36, 95% CI 0.55‐6.09). These estimates were similar for Japanese Americans (BMI ≥25: PAF 8.63, 95% CI 1.59‐15.16; BMI ≥30 PAF 3.53, 95% CI 0.97‐6.02), but were not statistically significant for the other race/ethnicity subgroups (data not shown). In addition, current smoking explained approximately 4% of cases for the whole cohort (PAF 4.19, 95% CI 1.67‐6.64) and about 6% of cases among Japanese Americans (6.29, 95% CI 2.64‐9.80). However, the PAFs for current smoking were not significant for European Americans (1.46, 95% CI −4.56 to 7.13), African Americans (6.56, 95% CI −0.84 to 13.42), Native Hawaiians (3.37, 95% CI −7.49 to 13.14), or Latino Americans (1.00, 95% CI −4.44 to 6.16). For red meat, about 10% of the cases could be prevented (PAF 9.97, 95% CI 0.99‐18.15) if those in the upper three quartiles of red meat consumption reduced their intake to the first quartile. This decrease was over doubled among African Americans (PAF 26.40, 95% CI 5.73‐42.54), but was not statistically significant for the other populations. There was no decrease in pancreatic cancer burden associated with a modification in diabetes status for the entire cohort (PAF 1.06, 95% CI −1.01 to 3.10) or within any subgroups.

DISCUSSION

In this study, we evaluated differences in pancreatic cancer incidence and risk factor associations across five racial/ethnic groups in the MEC. We observed higher rates of pancreatic cancer among African Americans, Native Americans, and Japanese Americans, but no difference for Latino Americans, compared to European Americans. While these disparities did not seem to be fully explained by the distribution and effects of risk factors across race/ethnicity, a substantial fraction of pancreatic cancers in our cohort (20%) could be attributed to smoking, adiposity, and red meat intake. African Americans have had historically higher rates of pancreatic cancer incidence compared to whites.14 While risk factors such as obesity, diabetes, and smoking are more prevalent among African Americans, past research has suggested that they do not fully explain the differences in pancreatic cancer incidence.15, 16 Our findings provide additional support for this disparity, as African Americans had a 20% greater risk of pancreatic cancer compared to European Americans even after adjusting for known risk factors. Thus, other factors not reflected in our analysis may instead account for these differences in incidence. In particular, current evidence has suggested that African Americans may perhaps have higher exposure to carcinogens compared to European Americans. This is supported by research suggesting that African Americans are slower metabolizers of cigarette smoke toxins17 and are more likely to have the risky rapid phenotype of the N‐acetyltransferase‐1 enzyme,18 which promotes the bioactivation of arylamine carcinogens.19 Smoking and dietary preferences among this population may also contribute to elevated carcinogen exposure. African Americans tend to smoke menthol cigarettes,17, 20 which facilitate deeper inhalation and penetration of harmful tobacco products,21 and consume higher amounts of well‐done and pan‐fried meats,18, 22 which have increased levels of heterocyclic amines and polycyclic aromatic hydrocarbons.23 These issues could thus potentially explain why the impact of smoking and red meat were stronger for African Americans in our analyses. In addition, higher rates of pancreatic cancer among African Americans may be attributed to differences in genetic susceptibility. As there is currently a lack of studies examining genetics and pancreatic cancer in this population, our results may provide an indication of which specific genetic markers to investigate in future studies. Pancreatic cancer incidence rates have also been consistently elevated among Native Hawaiians according to the Hawaii Tumor Registry and other SEER registries.24, 25 In our cohort, Native Hawaiians had the greatest disparity among all race/ethnicity groups, with nearly double the age‐adjusted incidence rate and about a 60% greater relative risk of pancreatic cancer compared to European Americans after risk factor adjustment. This difference in incidence can perhaps be explained by race‐specific variations in the susceptibility and severity of diabetes, which was a strong independent risk factor among Native Hawaiians in our analysis. Literature has shown that there is a disproportionate burden of diabetes among Native Hawaiians, as both the prevalence and risk of diabetes is much higher for Native Hawaiians compared to European Americans.26, 27, 28 There is also evidence suggesting that diabetes may be more critical and advanced in this population. Native Hawaiians are more frequently hospitalized for diabetes29 and have a greater likelihood of experiencing diabetes‐related complications and mortality.26, 30 In addition, Native Hawaiians are more likely to have poorer glycemic control and elevated blood glucose levels,31, 32 which have been observed to be associated with pancreatic cancer.33 Future studies investigating diabetes severity and pancreatic cancer across race/ethnicity groups would be valuable in understanding this increased incidence among Native Hawaiians. We found that Japanese Americans had both a higher incidence rate and relative risk for pancreatic cancer compared to European Americans. While not previously highlighted, recent incidence data (2009‐2013) from the Hawaii Tumor Registry showed that Japanese individuals had greater age‐adjusted incidence rates compared to European Americans.24 We also observed that the relative risk for Japanese Americans remained practically unchanged between our minimally and fully adjusted models, indicating that our covariates did not explain much of the disparity. However, the fact that family history of pancreatic cancer was a stronger risk factor among Japanese Americans than among European Americans suggests that genetics may play a more substantial role in defining risk between race/ethnicity groups. This hypothesis is supported by a previous genome‐wide association study (GWAS) in Japanese individuals, which identified three pancreatic cancer susceptibility loci that were not observed to be associated with risk in prior GWAS studies of individuals of European ancestry.34, 35, 36 A recent GWAS meta‐analysis of three Japanese studies further found a genetic risk marker in GP2 that is also distinct to this population.37 In addition, non‐O blood alleles, which are associated with pancreatic cancer,38 appear to be more prevalent in Japanese individuals compared to Europeans.39 Our analysis did not detect any difference in pancreatic cancer incidence and risk between Latino Americans and European Americans. Additionally, our race/ethnicity‐stratified models showed that the patterns of associations for each risk factor and pancreatic cancer were similar between European and Latino Americans. Data from SEER and the CDC's National Program of Cancer Registries have reported similar age‐standardized incidence rates between Hispanic and white females, but slightly lower rates for Hispanic men compared to white men.40, 41 It is possible that the decreased rates for Hispanic males may be attributed to the lower prevalence of smoking in this population.42 To our knowledge, this is the first study to calculate PAFs for pancreatic cancer risk factors across race/ethnicity using a formula that accounts for the competing risk of death. Our PAF estimates for current smoking (1%‐7%) are lower than the PAFs for smoking reported in two prior studies (15%‐42%) examining pancreatic cancer risk factors in whites and blacks.6, 16 However, it may be difficult to make direct comparisons with these studies because the authors used formulas that did not consider follow‐up time or mortality and did not calculate separate PAFs for current smoking alone. In addition, PAF calculations that ignore mortality tend to overestimate the PAF when the follow‐up period is long and the risk factor in question is strongly associated with mortality.43 As the average follow‐up time was 16.9 years and smoking had a greater influence on mortality than pancreatic cancer in our cohort, using a formula that addressed censoring due to death was more appropriate and provided a more accurate PAF estimation. The strengths of our study include the prospective design and large, ethnically diverse population. This permitted us to evaluate disparities in incidence and the influence of risk factors across several race/ethnicity groups, particularly minority populations that have been understudied. Furthermore, calculating PAFs using a formula designed specifically for cohort studies that controlled for competing risk of death and other risk factors provided a more unbiased PAF estimate compared to previous studies. However, as a number of risk factors were assessed by self‐report, the accuracy of some data elements may have been influenced by social desirability bias. Since the baseline questionnaire was administered prior to case identification, we expect any misclassification to be nondifferential and bias our results toward the null. In addition, we used sociocultural categories of race/ethnicity, which does not fully capture all variation in risk associated with genetic ancestry. Incorporating genetic data, as well as biomarker or imaging information to assess pancreatic fat (an emerging risk factor44), could have perhaps further accounted for some of the disparities between populations. This study provided a comprehensive assessment of the incidence and known risk factors for pancreatic cancer across multiple racial/ethnic populations. Our findings suggest that the racial disparities in pancreatic cancer incidence are not fully explained by the interethnic differences in the distribution and effects of these mainly environmental risk factors. Residual risk in pancreatic cancer incidence may in fact be explained by other genetic and biological factors. Thus, future studies should consider more detailed evaluations that incorporate both behavioral and genetic data to further elucidate these discrepancies between race/ethnicity groups.
  41 in total

1.  Relationship between plasma glucose concentrations and Native Hawaiian Ancestry: The Native Hawaiian Health Research Project.

Authors:  A Grandinetti; J Keawe'aimoku Kaholokula; H K Chang; R Chen; B L Rodriguez; J S Melish; J D Curb
Journal:  Int J Obes Relat Metab Disord       Date:  2002-06

2.  Ethnic and racial differences in the smoking-related risk of lung cancer.

Authors:  Christopher A Haiman; Daniel O Stram; Lynne R Wilkens; Malcolm C Pike; Laurence N Kolonel; Brian E Henderson; Loïc Le Marchand
Journal:  N Engl J Med       Date:  2006-01-26       Impact factor: 91.245

3.  Risk of pancreatic adenocarcinoma: disparity between African Americans and other race/ethnic groups.

Authors:  Kenneth J Chang; Gulshan Parasher; Catherine Christie; Joan Largent; Hoda Anton-Culver
Journal:  Cancer       Date:  2005-01-15       Impact factor: 6.860

4.  Racial differences in exposure and glucuronidation of the tobacco-specific carcinogen 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK).

Authors:  Joshua E Muscat; Mirjana V Djordjevic; Stephen Colosimo; Steven D Stellman; John P Richie
Journal:  Cancer       Date:  2005-04-01       Impact factor: 6.860

5.  Calibration of the dietary questionnaire for a multiethnic cohort in Hawaii and Los Angeles.

Authors:  D O Stram; J H Hankin; L R Wilkens; M C Pike; K R Monroe; S Park; B E Henderson; A M Nomura; M E Earle; F S Nagamine; L N Kolonel
Journal:  Am J Epidemiol       Date:  2000-02-15       Impact factor: 4.897

6.  A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics.

Authors:  L N Kolonel; B E Henderson; J H Hankin; A M Nomura; L R Wilkens; M C Pike; D O Stram; K R Monroe; M E Earle; F S Nagamine
Journal:  Am J Epidemiol       Date:  2000-02-15       Impact factor: 4.897

Review 7.  Genetic polymorphisms of human N-acetyltransferase, cytochrome P450, glutathione-S-transferase, and epoxide hydrolase enzymes: relevance to xenobiotic metabolism and toxicity.

Authors:  L W Wormhoudt; J N Commandeur; N P Vermeulen
Journal:  Crit Rev Toxicol       Date:  1999-01       Impact factor: 5.635

8.  Trends in pancreatic cancer incidence in nine SEER Cancer Registries, 1973-2002.

Authors:  J Zhang; I Dhakal; H Yan; M Phillips; H Kesteloot
Journal:  Ann Oncol       Date:  2007-05-07       Impact factor: 32.976

9.  Why do Black Americans have a higher risk of pancreatic cancer than White Americans?

Authors:  Debra T Silverman; Robert N Hoover; Linda M Brown; G Marie Swanson; Mark Schiffman; Raymond S Greenberg; Richard B Hayes; Keith D Lillemoe; Janet B Schoenberg; Ann G Schwartz; Jonathan Liff; Linda M Pottern; Joseph F Fraumeni
Journal:  Epidemiology       Date:  2003-01       Impact factor: 4.822

Review 10.  Survival analysis Part III: multivariate data analysis -- choosing a model and assessing its adequacy and fit.

Authors:  M J Bradburn; T G Clark; S B Love; D G Altman
Journal:  Br J Cancer       Date:  2003-08-18       Impact factor: 7.640

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  15 in total

1.  Smoking and pancreatic cancer: a sex-specific analysis in the Multiethnic Cohort study.

Authors:  Inger T Gram; Song-Yi Park; Lynne R Wilkens; Loïc Le Marchand; Veronica Wendy Setiawan
Journal:  Cancer Causes Control       Date:  2022-10-17       Impact factor: 2.532

2.  A Prospective Analysis of Intake of Red and Processed Meat in Relation to Pancreatic Cancer among African American Women.

Authors:  Jessica L Petrick; Nelsy Castro-Webb; Hanna Gerlovin; Traci N Bethea; Shanshan Li; Edward A Ruiz-Narváez; Lynn Rosenberg; Julie R Palmer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-07-01       Impact factor: 4.254

3.  ITGA2, LAMB3, and LAMC2 may be the potential therapeutic targets in pancreatic ductal adenocarcinoma: an integrated bioinformatics analysis.

Authors:  Shajedul Islam; Takao Kitagawa; Byron Baron; Yoshihiro Abiko; Itsuo Chiba; Yasuhiro Kuramitsu
Journal:  Sci Rep       Date:  2021-05-18       Impact factor: 4.379

Review 4.  Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review.

Authors:  Barbara Kenner; Suresh T Chari; David Kelsen; David S Klimstra; Stephen J Pandol; Michael Rosenthal; Anil K Rustgi; James A Taylor; Adam Yala; Noura Abul-Husn; Dana K Andersen; David Bernstein; Søren Brunak; Marcia Irene Canto; Yonina C Eldar; Elliot K Fishman; Julie Fleshman; Vay Liang W Go; Jane M Holt; Bruce Field; Ann Goldberg; William Hoos; Christine Iacobuzio-Donahue; Debiao Li; Graham Lidgard; Anirban Maitra; Lynn M Matrisian; Sung Poblete; Laura Rothschild; Chris Sander; Lawrence H Schwartz; Uri Shalit; Sudhir Srivastava; Brian Wolpin
Journal:  Pancreas       Date:  2021-03-01       Impact factor: 3.243

5.  Red meat consumption, cooking mutagens, NAT1/2 genotypes and pancreatic cancer risk in two ethnically diverse prospective cohorts.

Authors:  Brian Z Huang; Songren Wang; David Bogumil; Lynne R Wilkens; Lang Wu; William J Blot; Wei Zheng; Xiao-Ou Shu; Stephen J Pandol; Loïc Le Marchand; Veronica Wendy Setiawan
Journal:  Int J Cancer       Date:  2021-04-12       Impact factor: 7.316

6.  Diabetes-Related Complications and Pancreatic Cancer Incidence in the Multiethnic Cohort.

Authors:  Albert J Farias; Anna H Wu; Jacqueline Porcel; Loïc Le Marchand; Lynne R Wilkens; Kristine R Monroe; Gertraud Maskarinec; Stephen J Pandol; Veronica Wendy Setiawan
Journal:  JNCI Cancer Spectr       Date:  2020-05-04

7.  Replication and Genetic Risk Score Analysis for Pancreatic Cancer in a Diverse Multiethnic Population.

Authors:  David Bogumil; David V Conti; Xin Sheng; Lucy Xia; Xiao-Ou Shu; Stephen J Pandol; William J Blot; Wei Zheng; Loïc Le Marchand; Christopher A Haiman; Veronica Wendy Setiawan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-09-21       Impact factor: 4.254

8.  The association between ambient air pollutants and pancreatic cancer in the Multiethnic Cohort Study.

Authors:  David Bogumil; Anna H Wu; Daniel Stram; Juan Yang; Chiu-Chen Tseng; Loïc Le Marchand; Jun Wu; Iona Cheng; Veronica Wendy Setiawan
Journal:  Environ Res       Date:  2021-06-30       Impact factor: 6.498

9.  Ethnic differences in excretion of butadiene-DNA adducts by current smokers.

Authors:  Caitlin C Jokipii Krueger; S Lani Park; Guru Madugundu; Yesha Patel; Loic Le Marchand; Daniel O Stram; Natalia Tretyakova
Journal:  Carcinogenesis       Date:  2021-05-28       Impact factor: 4.944

10.  Racial/ethnic disparities in weight or BMI change in adulthood and pancreatic cancer incidence: The multiethnic cohort.

Authors:  Albert J Farias; Samantha A Streicher; Daniel O Stram; Songren Wang; Stephen J Pandol; Loïic Le Marchand; Veronica W Setiawan
Journal:  Cancer Med       Date:  2021-05-16       Impact factor: 4.452

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