Abstract
Background & Aims
Use of aspirin and/or non-aspirin nonsteroidal anti-inflammatory drugs (NSAIDs) reduces the risk of several cancers, but it is not clear if use of these drugs is associated with risk of pancreatic cancer.
Methods
We evaluated aspirin and non-aspirin NSAID use and risk of pancreatic adenocarcinoma in 141,940 participants from the Health Professionals Follow-up Study and Nurses’ Health Study using multivariable-adjusted Cox proportional hazards regression. We considered several exposure classifications to model differing lag times between NSAID exposure and cancer development. We also conducted a nested case–control study of participants from 3 prospective cohorts using conditional logistic regression to evaluate pre-diagnosis levels of plasma salicylurate, a major metabolite of aspirin, in 396 pancreatic cancer cases and 784 matched individuals without pancreatic cancer (controls).
Results
In the prospective cohort study, 1122 participants developed pancreatic adenocarcinoma over 4.2 million person-years. Use of aspirin or non-aspirin NSAIDs was not associated with pancreatic cancer risk, even after considering several latency exposure classifications. In a pre-planned subgroup analysis, regular aspirin use was associated with reduced pancreatic cancer risk among participants with diabetes (relative risk, 0.71; 95% CI, 0.54–0.94). In the nested case–control study, pre-diagnosis levels of salicylurate were not associated with pancreatic cancer risk (odds ratio, 1.08; 95% CI, 0.72–1.61; Ptrend 0.81; comparing participants in the highest quintile to those in the lowest quintile of plasma salicylurate).
Conclusions
Regular aspirin or non-aspirin NSAID use was not associated with future risk of pancreatic cancer in participants from several large prospective cohort studies. A possible reduction in risk for pancreatic cancer among people with diabetes who regularly use aspirin should be further examined in preclinical and human studies.
Keywords: NHS, chemoprevention, salicyluric acid, inflammation
Introduction
Pancreatic cancer is the third leading cause of cancer-related death in the United States (U.S.).1 Surgery provides the only potential for cure, but most patients present with advanced disease that is not amenable to surgical resection. Therefore, chemoprevention and early detection strategies are extremely important for reducing mortality from pancreatic cancer, particularly in at-risk populations, such as those with new-onset diabetes, inherited predisposition, or pancreatic cystic neoplasms.1–3
Aspirin is a nonsteroidal anti-inflammatory drug (NSAID) used primarily for the prevention and treatment of cardiovascular disease, but whose long-term use has been associated with a reduction in overall cancer risk.4 Non-aspirin NSAIDs, most commonly used for the treatment of pain and inflammation, have also been shown to reduce the risk of certain cancer types.5 While in vitro experiments and animal studies suggest that aspirin and non-aspirin NSAIDs reduce pancreatic carcinogenesis,6–8 human studies have yielded conflicting results.9–14 Given inter-study variations in exposure classification and statistical methods, modest sample sizes, and short study periods in most prior investigations, there remains a critical need to examine the potential role of NSAIDs as chemopreventative agents in pancreatic cancer using large prospective study populations with updated data on NSAID use and follow-up over several decades.15
To investigate the association between aspirin and non-aspirin NSAID use and incident pancreatic adenocarcinoma, we conducted a prospective study within two large cohorts with updated ascertainment of NSAID use and potential confounding covariates over 25 years of follow-up. To further study this relationship, we evaluated the association of pre-diagnosis levels of plasma salicylurate, a major aspirin metabolite,16,17 and future pancreatic cancer risk among cases and controls nested in three large prospective cohorts.
Methods
Prospective Cohort Study
Study Population
The prospective cohort study pooled participants from two large U.S. cohorts, the Health Professionals Follow-up Study (HPFS) and the Nurses’ Health Study (NHS). HPFS is comprised of 51,529 male health professionals who enrolled in 1986 at ages 40–75 years, with a follow-up period from 1986–2012. NHS is comprised of 121,700 registered female nurses who enrolled in 1976 at ages 30–55 years, with a follow-up period from 1980–2012. Both cohorts provide mailed questionnaires that collect information on demographics, medical conditions, medication usage, social and family history, and health outcomes such as cancer diagnoses. Follow-up questionnaires are sent every two years with follow-up rates exceeding 90%.4 Further details on the HPFS and NHS cohorts have been previously described.18,19 Participants with history of cancer other than nonmelanoma skin cancer at baseline were excluded from the current study.
Assessment of Aspirin Use
Information on aspirin use was collected at baseline (HPFS, 1986; NHS, 1980) and updated biennially via questionnaires, with the exception of the NHS 1986 questionnaire when aspirin use was not ascertained. Both baseline questionnaires asked yes/no aspirin use and yes/no use of two or more 325mg equivalent aspirin tablets per week. Starting in 1992 for HPFS and 1980 for NHS, additional aspirin use details such as dose and frequency of aspirin use were elicited. We defined a standard tablet of aspirin as 325mg and a low-dose tablet as 81mg. Similar to prior studies,4 regular aspirin users were defined as participants who on average used aspirin (either standard or low-dose) at least two times per week. Detailed information on aspirin use in these cohorts have been provided previously.4,14,20,21
Assessment of Non-aspirin NSAID Use
Information on non-aspirin NSAID use was collected at baseline (HPFS, 1986; NHS, 1990) and updated biennially via questionnaires. Non-aspirin NSAIDs were listed as “anti-inflammatory analgesics” other than aspirin on the study questionnaires and included examples such as ibuprofen (Advil®, Motrin®, Nuprin®), Aleve®, Naprosyn®, Celebrex®, and Vioxx®. Regular non-aspirin NSAID users were participants who responded “yes” to regular use on questionnaires, defined as at least two doses per week.
Assessment of Empirical Dietary Inflammatory Pattern (EDIP) Scores
To better understand the role of systemic inflammation in the association between NSAID use and pancreatic cancer risk, we used an empirical dietary inflammatory pattern (EDIP) score that measures dietary inflammatory potential. Derivation of the EDIP score has been described previously.22 In brief, investigators identified a dietary pattern most predictive of three plasma inflammatory biomarkers, interleukin-6 (IL-6), C-reactive protein (CRP), and tumor necrosis factor α receptor 2 (TNFαR2), using 39 pre-defined food groups by reduced rank regression models followed by stepwise linear regression analyses. The EDIP score is the weighted sum of 18 component food groups: 9 anti-inflammatory and 9 pro-inflammatory. A higher score indicates greater dietary inflammatory potential. In addition, the score was validated in two independent cohorts in which it significantly predicted plasma levels of IL-6, CRP, and TNFαR2.22,23 For participants in our prospective cohort study, we calculated EDIP scores from the current questionnaire cycle based on food-frequency questionnaire (FFQ) data collected since 1986 for HPFS and 1984 for NHS.
Nested Case-Control Study
Study Population
We measured pre-diagnosis plasma levels of salicylurate from nested pancreatic cancer cases and controls from the HPFS, NHS, and Women’s Health Initiative-Observational Study (WHI-OS) cohorts. WHI-OS is a prospective cohort comprised of 93,676 healthy postmenopausal women who enrolled between 1994–1998 at 40 U.S. clinics. Participants completed a baseline clinic questionnaire followed by annual mailed questionnaires.
Plasma was collected from 18,225 men in the HPFS (1993–1995), 32,826 women in the NHS (1989–1990), and 93,676 women in the WHI-OS (1994–1998). HPFS cohort members who responded positively to an invitation letter were sent a blood kit for collection. NHS participants were asked if they were willing to have blood samples collected in the 1988 questionnaire, and those who responded “yes” were mailed a separate letter of invitation. Blood specimen collection was part of the routine follow-up activities for those enrolled in the WHI-OS.
Two control participants were matched to each pancreatic cancer case by year of birth, cohort, smoking status (never, past, current), fasting status (<8 hours, ≥8 hours), and month of blood draw.24 Control subjects in our nested case-control study had no history of cancer other than nonmelanoma skin cancer and were alive at the time of the matched case’s pancreatic cancer diagnosis. Pancreatic cancer cases diagnosed with pancreatic cancer within one year of blood draw and their matched controls were excluded to account for the possibility of reverse causation, in which persons might have used aspirin for cancer-related symptoms such as pain.14
Assessment of Salicylurate Levels
All patient samples were analyzed at the Broad Institute of the Massachusetts Institute of Technology and Harvard University (Cambridge, MA), where laboratory personnel were blinded to sample identity (case, control, or quality control (QC)). Liquid chromatography–tandem mass spectrometry was used to measure plasma salicylurate levels. Details regarding metabolite profiling via this method have been previously described.24,25 To test for reproducibility mean intra-assay coefficients of variation (CVs) for blinded QC samples were calculated for salicylurate across three ethylenediaminetetraacetic acid QC plasma pools and three heparin QC plasma pools. The mean CV for salicylurate across QC plasma pools was 11%, indicating good reproducibility. Further details regarding blood draw methods, plasma transportation and storage, and metabolite profiling have been previously described.24 In a prior study of circulating metabolites, we included subjects from the Physician’s Health Study I (PHS I). However, these subjects were excluded from the current analyses as the blood collection in PHS I was conducted when all participants were taking aspirin as part of the run-in for the trial prior to their randomization to aspirin or placebo. Therefore, measured salicylurate levels would not accurately reflect long-term aspirin exposure.
Pancreatic Cancer Cases
Pancreatic cancer cases were identified by self-report, next-of-kin, or the computerized National Death Index.26 The diagnosis was confirmed by review of medical records, death certificates, or cancer registry data by physicians who were blinded to the exposure status of cases. Among the 1,122 participants who developed pancreatic cancer over the follow-up period, 904 (81%) were confirmed to have adenocarcinoma by record review. Pancreatic cancer cases with known histologies other than adenocarcinoma were excluded. Remaining cases known to have pancreatic cancer without a further confirmed histological subtype were maintained in the analyses, as approximately 90% of pancreatic cancers are of adenocarcinoma histology.27,28 Pancreatic cancer cases were included through 2012 for the cohort study and 2010 for the nested case-control study.
Assessment of Covariates
Covariate data were collected at baseline and in follow-up questionnaires, including age, race, sex, body mass index (BMI), diabetes mellitus (DM) status, smoking status, alcohol intake, physical activity level, and multivitamin use.29 Average weekly energy expenditure from self-reported activity levels was converted to metabolic equivalent of task (MET) hours per week, as described in detail in prior work.30 Fasting period prior to blood draw was also collected for participants in the nested case-control study.
Statistical Analysis
For the cohort study, we calculated person-years of follow-up from ascertainment date of aspirin or non-aspirin NSAID use to date of incident pancreatic cancer diagnosis, death, or end of follow-up, whichever occurred first. To comprehensively evaluate the potential association of NSAID use with pancreatic cancer risk, four approaches to exposure classification were considered, including current, latent, baseline, and cumulative use. As employed by previous studies from these cohorts,4,14,31 these approaches take into account differing time intervals during which medication use may impact disease development.
For the current exposure analyses, NSAID use was a simple update taken from the most recent questionnaire cycle before each follow-up interval. For the latency exposure analyses, the association between NSAID use and pancreatic cancer was examined with a latency period of 6–8 years between reported exposure and cancer diagnosis. Although studies suggest at least a decade elapses between formation of the tumor initiating clone and a pancreatic cancer diagnosis,32 the exact time period over which pancreatic cancer develops has not been clearly delineated.33 Therefore, a 6–8 year latency period was chosen a prior based on a reasonable lag period during which pre-invasive or early invasive disease is likely to be present and for consistency with prior studies in our cohorts.4 For the baseline analyses, NSAID use was derived directly from baseline questionnaires (HPFS 1986 or 1992; NHS 1980 for aspirin use and 1990 for non-aspirin NSAID use). For the cumulative analyses, the mean weekly intake of aspirin and non-aspirin NSAIDs was calculated by taking the average from all available questionnaires beginning with baseline until the beginning of each follow-up interval.
Cox proportional hazards regression models conditioned on age and questionnaire cycle were used to calculate hazard ratios as estimates for age- and multivariable-adjusted relative risks (RRs) and 95% confidence intervals (95% CIs) for the association between NSAID use and pancreatic cancer risk. Multivariable models were adjusted for potential confounding factors including sex/cohort, race, BMI, DM, smoking, alcohol use, multivitamin use, and physical activity level ascertained from the most current follow-up questionnaire cycle. In analyses with aspirin use as the main exposure of interest, regular non-aspirin NSAID use (yes/no/missing) as derived from the most recent questionnaire cycle was included as a covariate in multivariable analyses. Similarly, in analyses with non-aspirin NSAID use as the main exposure of interest, regular aspirin use (yes/no) as derived from the most recent questionnaire cycle was controlled for in multivariable analyses.
Using a propensity score previously constructed within our study cohorts to account for overall comorbidity status,34 we further adjusted for comorbidities and lifestyle factors that may be associated with NSAID use, including calorie intake and history of high cholesterol, stroke, hypertension, or heart disease. Linear trends by frequency and duration of NSAID use were calculated by using the median of each category as a continuous variable in Cox regression models. We were not able to assess the association between the frequency of non-aspirin NSAID use (i.e. tablets per week) and pancreatic cancer risk because this information was not consistently collected in the cohorts.
Stratified analyses were performed by history of diabetes and BMI, based on the findings of prior studies14,35, as well as by EDIP scores. P-values for interaction were calculated by entering into the model a cross-product term of regular NSAID use and stratified covariates. In keeping with prior studies on diabetes and pancreatic cancer,34,36–38 diabetes status was further classified as long-term (>4 years) or short-term (≤4 years) based on time from diabetes diagnosis date to most current questionnaire cycle.
Salicylurate is an abundant circulating metabolite of aspirin and has been used as a measure of aspirin exposure.16,17 Nevertheless, the optimal plasma level of salicylurate to mark specific quantities of aspirin intake is unknown. Therefore, for the nested case-control study, subjects were categorized into quintiles based on the distribution of plasma salicylurate levels among controls. The lowest quintile for plasma salicylurate levels was denoted as quintile 1, and the highest quintile was denoted as quintile 5.
To evaluate the association of plasma salicylurate levels and pancreatic cancer risk, we performed conditional logistic regression with conditioning on matching factors (age, sex/cohort, smoking status, fasting time prior to blood draw, and date of blood draw) and adjusting for potential confounding factors (race, BMI, diabetes, alcohol use, multivitamin use, physical activity and regular aspirin or non-aspirin NSAID use depending on the primary exposure of interest). P-values for trend were calculated by entering the log-transformed salicylurate values as continuous variables into logistic regression models. Stratified analyses by time interval between blood collection and cancer diagnosis (1<5 years, 5–<10 years, and ≥10 years) were performed. We assessed the possibility of a nonlinear association between salicylurate level and pancreatic cancer by using the likelihood ratio test, comparing the model with linear and cubic spline terms to the model with linear terms only.39 Values outside of two standard deviations from the log-transformed overall mean salicylurate level were excluded from this analysis to reduce the influence of extreme values.
All statistical analyses were performed using SAS software (version 9.4; SAS Institute, Cary, NC), and two-sided P-values of <0.05 were considered statistically significant. Study protocols were approved by the Human Research Committee at Brigham and Women’s Hospital.
Results
Prospective Cohort Study
At baseline, 141,940 participants met inclusion criteria and nearly 32% were regular aspirin users (Table 1). In total, 1,122 participants developed pancreatic adenocarcinoma over 4.2 million person-years of follow-up (Table 2).
Table 1.
Baseline characteristics of HPFS and NHS participants by regular aspirin use.
| HPFS | NHS | Combined | ||||
|---|---|---|---|---|---|---|
| Characteristics† | Nonregular user | Regular user* | Nonregular user | Regular user* | Nonregular user | Regular user* |
| No. of participants | 34,795 | 14,529 | 62,033 | 30,583 | 96,828 | 45,112 |
| Age, years | ||||||
| Mean (SD) | 53.7 (9.7) | 56.4 (9.7) | 46.7 (7.3) | 46.9 (7.1) | 49.2 (8.9) | 50.0 (9.2) |
| Race (%) | ||||||
| White | 88.8 | 95.1 | 96.8 | 98.4 | 93.9 | 97.3 |
| Black | 1.1 | 0.6 | 2.1 | 1.0 | 1.7 | 0.9 |
| Other | 3.7 | 2.4 | 1.1 | 0.6 | 2.1 | 1.2 |
| Unknown | 6.4 | 1.9 | 0 | 0 | 2.3 | 0.6 |
| BMI, kg/m2 | ||||||
| Mean (SD) | 24.9 (5.0) | 25.1 (5.2) | 24.2 (4.4) | 24.7 (4.7) | 24.5 (4.6) | 24.8 (4.9) |
| <25.0 | 46.3 | 42.6 | 61.4 | 62.1 | 56.0 | 55.9 |
| 25.0–29.9 | 43.6 | 46.2 | 21.4 | 24.5 | 29.3 | 31.5 |
| 30.0–34.9 | 6.6 | 7.4 | 6.8 | 8.8 | 6.8 | 8.3 |
| ≥35.0 | 1.2 | 1.4 | 2.8 | 4.1 | 2.2 | 3.2 |
| Missing | 2.3 | 2.4 | 7.6 | 0.5 | 5.7 | 1.1 |
| Tobacco smoking (%) | ||||||
| Never | 46.3 | 40.7 | 44.2 | 41.5 | 45.0 | 41.3 |
| <5 pack-years | 4.2 | 4.2 | 9.7 | 9.6 | 7.8 | 7.9 |
| 5–19 pack-years | 17.2 | 18.7 | 20.2 | 21.3 | 19.1 | 20.4 |
| 20–39 pack-years | 16.3 | 20.3 | 17.6 | 18.9 | 17.1 | 19.4 |
| ≥40 pack-years | 9.0 | 13.7 | 6.9 | 7.4 | 7.6 | 9.4 |
| Missing | 7.0 | 2.4 | 1.4 | 1.3 | 3.4 | 1.6 |
| Alcohol use, grams/day | ||||||
| Mean (SD) | 10.8 (15.0) | 12.7 (16.3) | 6.1 (10.3) | 6.9 (10.9) | 7.9 (12.6) | 8.8 (13.2) |
| Multivitamin use (%) | 38.4 | 49.4 | 29.1 | 38.2 | 32.4 | 41.8 |
| Physical activity (MET-hours/week) | ||||||
| Mean (SD) | 21.2 (30.0) | 20.4 (28.8) | 14.4 (21.7) | 13.5 (18.9) | 17.3 (25.8) | 16.1 (23.4) |
| Diabetes mellitus (%) | 2.9 | 4.0 | 2.4 | 2.4 | 2.6 | 2.9 |
| Regular non-aspirin NSAID use (%) | 4.7 | 7.3 | 31.9 | 44.2 | 20.4 | 30.5 |
BMI, body mass index; HPFS, Health Professionals Follow-up Study; kg, kilogram; MET, metabolic equivalent of task; m, meter; NHS, Nurses’ Health Study; NSAID, nonsteroidal anti-inflammatory drug; SD, standard deviation
Average of two tablets of 81mg of aspirin per week or greater.
All variables derived from baseline questionnaires (HPFS 1986; NHS 1980) except for physical activity, which was derived from 1986 questionnaires in both cohorts, and non-aspirin NSAID use, which was derived from 1990 questionnaire in NHS.
Table 2.
Association between regular aspirin use and incident pancreatic cancer.
| HPFS | NHS | Combined Population | ||||
|---|---|---|---|---|---|---|
| Nonregular users | Regular users | Nonregular users | Regular users | Nonregular users | Regular users | |
| Current Exposure* | ||||||
| No. cases | 214 | 201 | 379 | 328 | 593 | 529 |
| Person-years | 585,954 | 501,314 | 1,899,575 | 1,227,923 | 2,485,529 | 1,729,236 |
| Age-adjusted RR (95% CI) | 1 | 0.91 (0.75, 1.10) | 1 | 1.01 (0.87, 1.18) | 1 | 0.99 (0.88, 1.11) |
| Multivariable RR (95% CI)§ | 1 | 0.87 (0.71, 1.06) | 1 | 0.99 (0.85, 1.15) | 1 | 0.95 (0.84, 1.07) |
| Latency Exposure* | ||||||
| No. cases | 163 | 165 | 357 | 288 | 520 | 453 |
| Person-years | 443,434 | 336,911 | 1,529,058 | 875,400 | 1,972,492 | 1,212,311 |
| Age-adjusted RR (95% CI) | 1 | 1.08 (0.87, 1.35) | 1 | 1.14 (0.98, 1.34) | 1 | 1.14 (1.00, 1.29) |
| Multivariable RR (95% CI)§ | 1 | 1.03 (0.82, 1.29) | 1 | 1.12 (0.95, 1.31) | 1 | 1.09 (0.96, 1.24) |
| Baseline Exposure* | ||||||
| No. cases | 159 | 144 | 365 | 209 | 524 | 353 |
| Person-years | 456,511 | 323,807 | 1,818,540 | 891,565 | 2,275,051 | 1,215,372 |
| Age-adjusted RR (95% CI) | 1 | 1.08 (0.86, 1.36) | 1 | 1.14 (0.96, 1.36) | 1 | 1.14 (1.00, 1.31) |
| Multivariable RR (95% CI)§ | 1 | 1.02 (0.81, 1.29) | 1 | 1.14 (0.96, 1.35) | 1 | 1.10 (0.95, 1.26) |
CI, confidence interval; HPFS, Health Professionals Follow-up Study; NHS, Nurses’ Health Study; RR, relative risk
Current exposure, aspirin use obtained from the most recent questionnaire cycle; Latency exposure, 6–8 year latency period for reported aspirin exposure; Baseline exposure, aspirin use obtained from baseline questionnaires (HPFS 1992; NHS 1980).
Multivariate models conditioning on age (months) and questionnaire cycle and adjusted for sex/cohort, race (White, Black, other, unknown), BMI in kg/m2 (<25.0, 25.0–29.9, 30.0–34.9, ≥35.0, missing), diabetes mellitus (yes/no), smoking in pack-years (never, <5, 5–19, 20–39, ≥40, missing), alcohol intake in grams/day (0, 0.1–4.9, 5.0–14.9, 15.0–29.9, ≥30.0, missing), multivitamin use (yes/no), physical activity (quintiles by sex), and regular non-aspirin NSAID use (yes/no/missing).
In pooled analyses of HPFS and NHS participants, we identified no association between regular aspirin use and pancreatic cancer risk when regular aspirin use was classified as current (adjusted RR, 0.95; 95% CI, 0.84–1.07), latent (adjusted RR, 1.09; 95% CI, 0.96–1.24) or baseline exposure (adjusted RR, 1.10; 95% CI, 0.95–1.26; Table 2). Analysis of each cohort (HPFS or NHS) individually yielded similar results (all Pheterogeneity >0.30; Table 2).
To better understand the associations of aspirin and non-aspirin NSAID use with pancreatic cancer risk independently, we divided participants into four groups: no regular aspirin or non-aspirin NSAID use, regular aspirin use only, regular non-aspirin NSAID use only, and regular use of both aspirin and non-aspirin NSAIDs. No associations between regular aspirin use, non-aspirin NSAID use, or combination aspirin/non-aspirin NSAID use was identified with pancreatic cancer risk (Table 3).
Table 3.
Association between regular NSAID use and incident pancreatic cancer.
| Nonregular users of any NSAIDs | Regular Users | |||
|---|---|---|---|---|
| Aspirin only | Non-aspirin NSAIDs only | Combination aspirin and non-aspirin NSAIDs | ||
| Current Exposure* | ||||
| No. cases | 366 | 347 | 144 | 137 |
| Person-years | 1,194,055 | 953,905 | 498,385 | 398,622 |
| Age-adjusted RR (95% CI) | 1 | 0.97 (0.83, 1.12) | 0.98 (0.81, 1.19) | 0.95 (0.78, 1.16) |
| Multivariable RR (95% CI)§ | 1 | 0.92 (0.79, 1.07) | 1.01 (0.83, 1.23) | 0.93 (0.76, 1.14) |
| Latency Exposure* | ||||
| No. cases | 288 | 287 | 127 | 98 |
| Person-years | 884,265 | 624,929 | 349,878 | 238,050 |
| Age-adjusted RR (95% CI) | 1 | 1.16 (0.99, 1.37) | 1.15 (0.93, 1.42) | 1.13 (0.89, 1.42) |
| Multivariable RR (95% CI)§ | 1 | 1.10 (0.93, 1.30) | 1.17 (0.94, 1.45) | 1.09 (0.86, 1.38) |
| Baseline Exposure* | ||||
| No. cases | 339 | 213 | 110 | 44 |
| Person-years | 1,096,358 | 518,317 | 463,658 | 136,654 |
| Age-adjusted RR (95% CI) | 1 | 1.15 (0.97, 1.37) | 0.86 (0.69, 1.07) | 1.03 (0.75, 1.42) |
| Multivariable RR (95% CI)§ | 1 | 1.07 (0.89, 1.27) | 0.88 (0.71, 1.10) | 0.99 (0.72, 1.36) |
CI, confidence interval; HPFS, Health Professionals Follow-up Study; NHS, Nurses’ Health Study; NSAIDs, nonsteroidal anti-inflammatory drugs; RR, relative risk
Current exposure, NSAID use obtained from the most recent questionnaire cycle; Latency exposure, 6–8 year latency period for reported NSAID exposure; Baseline exposure, NSAID use obtained from baseline questionnaires (HPFS 1992; NHS 1980 for aspirin use and 1990 for non-aspirin NSAID use).
Multivariate models conditioning on age (months) and questionnaire cycle and adjusted for sex/cohort, race (White, Black, other, unknown), BMI in kg/m2 (<25.0, 25.0–29.9, 30.0–34.9, ≥35.0, missing), diabetes mellitus (yes/no), smoking in pack-years (never, <5, 5–19, 20–39, ≥40, missing), alcohol intake in grams/day (0, 0.1–4.9, 5.0–14.9, 15.0–29.9, ≥30.0, missing), multivitamin use (yes/no), and physical activity (quintiles by sex).
We next conducted stratified analyses by BMI and diabetes status. The association of regular aspirin and non-aspirin NSAID use and pancreatic cancer risk was similar across BMI categories (Supplementary Table 1), without a significant change in results after sensitivity analysis excluding underweight participants (BMI <18.5; data not shown).
Amongst the 1,122 participants who developed pancreatic cancer, 212 (19%) had diabetes at diagnosis. On stratified analysis by diabetes status, regular aspirin use was associated with a lower risk of pancreatic cancer among participants with diabetes (current exposure analysis: adjusted RR, 0.71; 95% CI, 0.54–0.94; Table 4). A similar association was not identified for non-aspirin NSAID use (current exposure analysis: adjusted RR, 1.02; 95% CI, 0.74–1.41; Table 4). In further classifying participants by duration of diabetes (long-term >4 years or short-term ≤4 years), we found similar results (data not shown). To explore whether the reduced risk of pancreatic cancer among cases with diabetes who reported regular aspirin use was related to aspirin’s anti-inflammatory properties, we conducted stratified analysis by a dietary inflammatory (EDIP) score. Notably, diabetic participants in the top tertile of EDIP score, which reflects a high inflammatory diet, had a decreased risk of pancreatic cancer with regular aspirin use (RR, 0.58; 95% CI, 0.37–0.89; Pinteraction 0.04; Supplementary Table 2).
Table 4.
Association between regular aspirin and non-aspirin NSAID use and incident pancreatic cancer stratified by diabetes status.
| Aspirin* | Non-aspirin NSAIDs* | |||||
|---|---|---|---|---|---|---|
| Diabetes Status | Nonregular users | Regular users | Pinteraction✚ | Nonregular users | Regular users | Pinteraction✚ |
| Diabetes | 0.05 | 0.91 | ||||
| No | ||||||
| No. cases | 483 | 427 | 570 | 224 | ||
| Person-years | 2,332,301 | 1,566,450 | 1,964,554 | 810,961 | ||
| Age-adjusted RR (95% CI) | 1 | 1.03 (0.90, 1.17) | 1 | 0.99 (0.84, 1.16) | ||
| Multivariable RR (95% CI)§ | 1 | 1.01 (0.89, 1.16) | 1 | 1.03 (0.88, 1.21) | ||
| Yes | ||||||
| No. cases | 110 | 102 | 143 | 57 | ||
| Person-years | 153,227 | 162,786 | 183,406 | 86,047 | ||
| Age-adjusted RR (95% CI) | 1 | 0.75 (0.57, 1.00) | 1 | 0.97 (0.71, 1.34) | ||
| Multivariable RR (95% CI)§ | 1 | 0.71 (0.54, 0.94) | 1 | 1.02 (0.74, 1.41) | ||
CI, confidence interval; NSAIDs, nonsteroidal anti-inflammatory drugs; RR, relative risk
Current exposure, aspirin and non-aspirin NSAID use obtained from the most recent questionnaire cycle.
Multivariate models conditioning on age (months) and questionnaire cycle and adjusted for sex/cohort, race (White, Black, other, unknown), BMI in kg/m2 (<25.0, 25.0–29.9, 30.0–34.9, ≥35.0, missing), smoking in pack-years (never, <5, 5–19, 20–39, ≥40, missing), alcohol intake in grams/day (0, 0.1–4.9, 5.0–14.9, 15.0–29.9, ≥30.0, missing), multivitamin use (yes/no), physical activity (quintiles by sex), and regular use of aspirin (yes/no) or non-aspirin NSAID (yes/no/missing) depending on the primary exposure.
Tests for interaction performed by entering into the model a cross-product term of regular aspirin or non-aspirin NSAID use (yes/no) and diabetes mellitus (yes/no).
We next examined the duration of regular NSAID use and risk of pancreatic cancer, noting a modest increase in risk with long-term regular aspirin use in the combined population of HPFS and NHS participants (RR 1.23; 95% CI, 1.06–1.42; Ptrend 0.003) that was not seen among regular non-aspirin NSAID users (Table 5). After adjustment for potential comorbidities in long-term aspirin users, including history of high cholesterol, stroke, hypertension, or heart disease, our results remained largely unchanged (Table 5). Although relative risks were more pronounced in NHS cohort participants compared to HPFS cohort participants, the P-value for heterogeneity was 0.18, supporting no statistically significant heterogeneity across the two study cohorts.
Table 5.
Association between duration of aspirin and non-aspirin NSAID use and incident pancreatic cancer.
| Years of Regular Aspirin Use* | Years of Regular Non-aspirin NSAID Use* | |||||||
|---|---|---|---|---|---|---|---|---|
| 0–5 | 6–10 | >10 | Ptrend✚ | 0–5 | 6–10 | >10 | Ptrend✚ | |
| HPFS | ||||||||
| No. cases | 188 | 105 | 122 | 343 | 51 | 21 | ||
| Person-years | 609,899 | 267,456 | 209,913 | 944,461 | 101,844 | 40,963 | ||
| Age-adjusted RR (95% CI) | 1 | 0.95 (0.74, 1.21) | 1.11 (0.86, 1.44) | 0.48 | 1 | 1.12 (0.82, 1.51) | 1.13 (0.71, 1.78) | 0.44 |
| Multivariable RR (95% CI)§ | 1 | 0.91 (0.71, 1.16) | 1.04 (0.80, 1.35) | 0.87 | 1 | 1.08 (0.79, 1.46) | 1.12 (0.71, 1.78) | 0.53 |
| Multivariable RR (95% CI)± | 1 | 0.90 (0.70, 1.16) | 1.03 (0.79, 1.36) | 0.90 | 1 | 1.08 (0.79, 1.47) | 1.12 (0.70, 1.77) | 0.54 |
| NHS | ||||||||
| No. cases | 274 | 149 | 284 | 397 | 147 | 68 | ||
| Person-years | 1,725,215 | 536,512 | 865,772 | 1,402,465 | 486,964 | 194,236 | ||
| Age-adjusted RR (95% CI) | 1 | 1.13 (0.93, 1.39) | 1.30 (1.09, 1.55) | 0.002 | 1 | 1.04 (0.86, 1.26) | 1.02 (0.78, 1.33) | 0.86 |
| Multivariable RR (95% CI)§ | 1 | 1.15 (0.93, 1.41) | 1.34 (1.12, 1.60) | 0.001 | 1 | 1.04 (0.86, 1.27) | 1.01 (0.77, 1.33) | 0.89 |
| Multivariable RR (95% CI)± | 1 | 1.16 (0.94, 1.42) | 1.36 (1.14, 1.64) | 0.001 | 1 | 1.05 (0.87, 1.28) | 1.04 (0.79, 1.36) | 0.76 |
| Combined | ||||||||
| No. cases | 462 | 254 | 406 | 740 | 198 | 89 | ||
| Person-years | 2,335,113 | 803,967 | 1,075,685 | 2346926 | 588807 | 235199 | ||
| Age-adjusted RR (95% CI) | 1 | 1.07 (0.91, 1.25) | 1.21 (1.05, 1.40) | 0.005 | 1 | 1.02 (0.87, 1.20) | 1.00 (0.80, 1.26) | 0.97 |
| Multivariable RR (95% CI)§ | 1 | 1.05 (0.90, 1.23) | 1.23 (1.06, 1.42) | 0.003 | 1 | 1.06 (0.90, 1.25) | 1.05 (0.83, 1.32) | 0.62 |
| Multivariable RR (95% CI)± | 1 | 1.06 (0.91, 1.24) | 1.23 (1.06, 1.42) | 0.004 | 1 | 1.07 (0.91, 1.26) | 1.06 (0.84, 1.33) | 0.56 |
CI, confidence interval; HPFS, Health Professionals Follow-up Study; NSAIDs, nonsteroidal anti-inflammatory drugs; NHS, Nurses’ Health Study; RR, relative risk
Cumulative exposure, NSAID use obtained from mean weekly intake over all available questionnaires.
Multivariate models conditioning on age (months) and questionnaire cycle and adjusted for sex/cohort, race (White, Black, other, unknown), BMI in kg/m2 (<25.0, 25.0–29.9, 30.0–34.9, ≥35.0, missing), diabetes mellitus (yes/no), smoking in pack-years (never, <5, 5–19, 20–39, ≥40, missing), alcohol intake in grams/day (0, 0.1–4.9, 5.0–14.9, 15.0–29.9, ≥30.0, missing), multivitamin use (yes/no), physical activity (quintiles by sex), and regular use of aspirin (yes/no) or non-aspirin NSAID (yes/no/missing) depending on the primary exposure.
Multivariate models further adjusted for calorie intake, and history of high cholesterol, stroke, hypertension, or heart disease (angina pectoris, coronary bypass/angioplasty/stent, myocardial infarction).
Tests for trend conducted using the median value of each category as a continuous variable.
We also investigated whether the average number of aspirin tablets taken per week was associated with pancreatic cancer risk. When considering current, latency, baseline, and cumulative exposure classifications, we identified no association between the frequency of aspirin use and pancreatic cancer risk (all adjusted Ptrend >0.05; Supplementary Table 3). Similarly, we found no association between frequency of aspirin use and pancreatic cancer risk when stratified by diabetes status (data not shown). The association between the frequency of non-aspirin NSAID use and pancreatic cancer risk could not be assessed, as this level of detail was not consistently collected in cohort questionnaires.
Nested Case-Control Study
For pancreatic cancer cases in the nested case-control study, the median time between blood collection and cancer diagnosis was eight years. Demographic and clinical data for 396 pancreatic cancer cases and 784 matched controls are shown in Supplementary Table 4. Participants with salicylurate levels in the highest quintile (quintile 5) had an adjusted odds ratio (OR) for pancreatic cancer of 1.08 (95% CI, 0.72–1.61; Ptrend 0.81) compared to those in the lowest quintile (quintile 1; Table 6). Stratified analysis by diabetes status could not be performed due to limited sample size. Restricted cubic spline regression confirmed that a nonlinear association between salicylurate level and pancreatic cancer risk was not present (Pnonlinearity 0.48).
Table 6.
Odds ratio of pancreatic cancer by prediagnosis plasma salicylurate levels.
| Quintiles of Plasma Salicylurate | Ptrend✚ | |||||
|---|---|---|---|---|---|---|
| 1 (lowest) | 2 | 3 | 4 | 5 (highest) | ||
| No. cases/controls | 79/156 | 82/157 | 80/157 | 66/157 | 89/157 | |
| OR (95% CI)* | 1 | 1.04 (0.71, 1.52) | 1.01 (0.69, 1.49) | 0.83 (0.56, 1.23) | 1.11 (0.75, 1.64) | 0.56 |
| OR (95% CI)§ | 1 | 1.09 (0.74, 1.62) | 1.04 (0.70, 1.54) | 0.80 (0.53, 1.20) | 1.08 (0.72, 1.61) | 0.81 |
CI, confidence interval; OR, odds ratio
OR (95% CI) from conditional logistic regression models conditioned on matching factors (year of birth, cohort, smoking status, fasting status, and month of blood draw).
OR (95% CI) from conditional logistic regression models conditioned on matching factors and adjusted for race (White, Black, other, unknown), BMI in kg/m2 (<25.0, 25.0–29.9, 30.0–34.9, ≥35.0, missing), diabetes mellitus (yes/no), alcohol intake in grams/day (0, 0.1–4.9, 5.0–14.9, 15.0–29.9, ≥30.0, missing), multivitamin use (yes/no), physical activity (quintiles by sex), and regular non-aspirin NSAID use (yes/no/missing).
Tests for trend conducted using the log-transformed metabolite as a continuous variable.
We also conducted a stratified analysis by the time interval between blood collection and cancer diagnosis and found no association between salicylurate level and pancreatic cancer risk (all Ptrend >0.30; Supplementary Table 5). No heterogeneity in pancreatic cancer risk by plasma salicylurate level was identified across the three cohorts (Pheterogeneity 0.84; Figure 1).
Figure 1.
Forest plot and meta-analysis of odds ratios for pancreatic cancer per standard deviation increase in plasma salicylurate by cohort.
CI, confidence interval; HPFS, Health Professionals Follow-up Study; NHS, Nurses’ Health Study; OR, odds ratio; WHI-OS, Women’s Health Initiative-Observational Study
Solid squares and horizontal lines indicate cohort-specific multivariable-adjusted ORs and 95% CIs, respectively, per standard deviation increase in plasma salicylurate. Area of the solid square reflects the cohort-specific weight (inverse of the variance). Diamond represents the meta-analysis multivariable-adjusted OR and 95% CI. Vertical line indicates an OR of 1.0.
OR (95% CIs) from conditional logistic regression models conditioned on matching factors (year of birth, cohort, smoking status, fasting status, and month of blood draw) and adjusted for race (White, Black, other, unknown), BMI in kg/m2 (<25.0, 25.0–29.9, 30.0–34.9, ≥35.0, missing), diabetes mellitus (yes/no), alcohol intake in grams/day (0, 0.1–4.9, 5.0–14.9, 15.0–29.9, ≥30.0, missing), multivitamin use (yes/no), physical activity (quintiles), and regular non-aspirin NSAID use (yes/no/missing).
Discussion
In a pooled analysis of two large prospective cohorts, we identified no association between regular aspirin and non-aspirin NSAID use and incident pancreatic cancer. This lack of association was consistent across several analytic approaches that accounted for a range of time periods between NSAID use and development of cancer. We also found no association between pre-diagnosis plasma salicylurate levels, an abundant circulating metabolite of aspirin, and pancreatic cancer risk in a nested case-control study from three prospective cohorts. Therefore, the primary results from these studies do not support an association between regular use of aspirin or non-aspirin NSAIDs and future risk of pancreatic cancer in a large population of U.S. subjects.
Prior studies of aspirin use and pancreatic cancer risk have yielded mixed results.9–14 Several case-control studies have suggested a reduced risk for pancreatic cancer among aspirin users,9,10 while other studies have indicated no association.11 In a large prospective study from the Cancer Preventions Study II Nutrition Cohort, no association was found between regular (325mg) aspirin use (daily, daily current use of <5years, and daily current use of ≥5 years) and pancreatic cancer.13 Similarly, in a prior prospective study of NHS participants that included 161 pancreatic cancer cases, no association was identified between regular aspirin use and pancreatic cancer risk.14 Differing results across studies could be due to differences in timing of aspirin exposure ascertainment in relation to cancer risk and differences in aspirin doses.40,41 In our primary analyses, we defined regular aspirin use as a minimum of two tablets of low-dose aspirin per week, noting no association between regular aspirin use and pancreatic cancer risk. However on subsequent analyses, we similarly did not identify an association between higher numbers of aspirin tablets per week and pancreatic cancer risk. Furthermore, we investigated multiple exposure classifications with differing lag times between aspirin use and incident pancreatic cancer and again saw no association between regular aspirin use and pancreatic cancer risk.
Randomized, placebo-controlled trials have been conducted of aspirin use with cardiovascular disease endpoints. Several of these studies have also evaluated cancer incidence or mortality by treatment arm. In a report from the Women’s Health Study that randomized patients to placebo or 100mg of aspirin every other day for 10 years, no difference in risk of pancreatic cancer was seen between the aspirin and placebo arms (N=51 cases; RR, 1.43; 95% CI, 0.81–2.49).42 In a subsequent pooled analysis of randomized controlled trials, a reduced risk of pancreatic cancer death was suggested during study treatment, but only after a latent period of 5 years of aspirin use and with only 45 pancreatic cancer deaths available for the analysis.43
Although few prior studies have been conducted, available prospective data have not supported an association between non-aspirin NSAID exposure and risk of pancreatic cancer. In concordance with these prior studies,40,44,45 regular non-aspirin NSAID use was not associated with pancreatic cancer risk within our study cohorts. These findings were consistent after considering multiple exposure classifications to account for the possible influence of differing time intervals between non-aspirin NSAID use and cancer risk.
In a pre-planned subgroup analysis, we identified a nearly 30% lower risk for pancreatic cancer with regular aspirin use among participants with diabetes. Diabetes is a known risk factor for pancreatic cancer46,47 and leads to increased systemic inflammation.48 In a previously published nested case-control study in NHS, women with high baseline levels of soluble tumor necrosis factor receptor-2 (sTNFR-2) who used aspirin/NSAIDs regularly had a reduced risk of incident colon cancer.49 A similar effect of aspirin/NSAID use on colon cancer risk was not seen among women with low baseline levels of sTNFR-2, suggesting that the reduced cancer risk with regular aspirin/NSAID use was most prominent among participants with increased systemic inflammation. Although highly exploratory, we noted that regular aspirin use was associated with reduced pancreatic cancer risk primarily among diabetic participants expected to have higher systemic inflammation, based upon a previously validated dietary inflammatory index.22,23 These findings support that the effects of aspirin on pancreatic tumorigenesis in the setting of hyperglycemia and diabetes should be further investigated.
We identified a modestly increased risk of pancreatic cancer with long-term aspirin use of greater than 10 years. Prior studies have shown a nonsignificant trend towards increased pancreatic cancer risk with longer duration of aspirin and non-aspirin NSAID use,50,51 but additional work is required to confirm these findings. Although we noted similar findings after adjustment for comorbid conditions related to cardiovascular disease, residual confounding among long-term users cannot be excluded, particularly as several pancreatic cancer risk factors are enriched within long-term aspirin users, such as tobacco use and obesity.
The current study has several important strengths. Notably, detailed information on aspirin and non-aspirin NSAID use was obtained prospectively and longitudinally from over 140,000 people residing throughout the U.S. over a 25-year period. This led to the capture of a large number of pancreatic cancer cases and the ability to examine multiple latency periods between NSAID use and development of pancreatic cancer. Furthermore, we prospectively collected extensive information for lifestyle factors and other conditions, allowing for robust control for confounding and examination of effect modification by obesity and diabetes. In our nested case-control study, we examined the association of aspirin with future pancreatic cancer risk by quantitating a central plasma metabolite of the drug. Importantly, plasma samples were drawn prior to cancer diagnosis and cases who developed cancer within one year of blood draw were excluded, greatly reducing the likelihood of reverse causation bias, in which aspirin may have been ingested to mitigate symptoms from a soon to be diagnosed pancreatic cancer.
This study also has limitations. Our study population was predominately White, and participants in HPFS and NHS were all employed within health care fields. Of note, WHI-OS had greater racial diversity without the eligibility criteria for health care professionals. Plasma salicylurate was measured at a single point in time and has a relatively short half-life of approximately one hour,52,53 such that low salicylurate levels could be seen even among regular aspirin users depending on timing of blood draw in relation to medication usage. Nevertheless, our results were consistent across the analyses of self-reported aspirin use and risk of incident pancreatic cancer in the prospective cohort study. Although our subgroup analyses were pre-planned based on prior data and included only two stratification covariates, the association of regular aspirin use with lower pancreatic cancer risk among people with diabetes will need to be confirmed in additional studies.
In conclusion, we conducted two large, prospective studies on aspirin and non-aspirin NSAID use and pancreatic cancer risk, using both longitudinal self-report of NSAID use and a major circulating metabolite of aspirin measured in pre-diagnosis blood samples. We did not identify an association of regular aspirin use and pancreatic cancer risk in the full patient population, but the observed reduction in risk among people with diabetes should be further investigated in preclinical and human studies.
Supplementary Material
Acknowledgments
Grant Support:
HPFS is supported by NIH grant UM1 CA167552. NHS is supported by NIH grants UM1 CA186107, P01 CA87969, and R01 CA49449. The WHI program is funded by the NIH through contracts N01WH22110, 24152, 32100–2, 32105–6, 32108–9, 32111–13, 32115, 32118–32119, 32122, 42107–26, 42129–32, and 44221.
Additional support from NCI R35 CA197735 to SO; NCI R01 CA137178, K24 DK098311, and an MGH Research Scholars Award to ATC; NCI R01 CA205406 and the Broman Fund for Pancreatic Cancer Research to KN; NIH R01 CA124908 and NIH P50 CA127003 to CSF; and from the Hale Center for Pancreatic Cancer Research, NIH/NCI U01 CA210171, Department of Defense CA130288, Lustgarten Foundation, Pancreatic Cancer Action Network, Noble Effort Fund, Peter R. Leavitt Family Fund, Wexler Family Fund, and Promises for Purple to B.M. Wolpin.
Abbreviations
- BMI
body mass index
- CV
coefficients of variation
- CI
confidence interval
- CRP
C-reactive protein
- DM
diabetes mellitus
- EDIP
empirical dietary inflammatory pattern
- FFQ
food-frequency questionnaire
- HPFS
Health Professionals Follow-up Study
- IL-6
interleukin-6
- NSAIDs
nonsteroidal anti-inflammatory drugs
- NHS
Nurses’ Health Study
- OR
odds ratio
- PHS I
Physician’s Health Study I
- QC
quality control
- RR
relative risk
- sTNFR-2
soluble tumor necrosis factor receptor-2
- TNFαR2
tumor necrosis factor α receptor 2
- U.S
United States
- WHI-OS
Women’s Health Initiative-Observational Study
Footnotes
Disclosures: The authors report no conflicts of interest.
Writing assistance: None
Author contributions: NK and CY contributed to data acquisition, data analysis and interpretation, literature review, and drafting and critically revising the manuscript. TH, YC, AB, VM, PK, KN, EG, SO, MS, BC, JM, AC, and CF contributed to study design, data acquisition and critically revising the manuscript for important intellectual content. CBC contributed to data acquisition and analysis, and technical and material support. BW contributed to study design, data acquisition, data interpretation, and drafting and critically revising the manuscript. All authors gave final approval of the version to be published.
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