Abstract
Background: A number of susceptibility genes are common to breast and pancreatic cancer. Recently, several breast cancer susceptibility loci have been identified through genome-wide association studies. Here we evaluated possible associations between these single nucleotide polymorphisms (SNP) and pancreatic cancer risk.
Methods: Ten SNPs from FGFR2, TOX3, MAP3K1, H19, LSP1, chromosome 8q24, CASP8, and LUM were investigated for associations with pancreatic cancer risk following genotyping in 1,143 Caucasian individuals with pancreatic adenocarcinoma and 1,097 unaffected controls from a clinic-based pancreatic cancer case-control study.
Results: CASP8 rs1045485 [odds ratio (OR), 0.78; 95% confidence interval (95% CI), 0.65-0.9; P = 0.005] and MAP3K1 rs889312 (OR, 0.85; 95% CI, 0.74-0.97; P = 0.017) showed evidence of association with risk of pancreatic cancer. The CASP8 rs1045485 association was evident in ever smokers (P = 0.002), but not in nonsmokers (P = 0.55), and the effect was strongest in heavy smokers (OR, 0.52; 95% CI, 0.29-0.93; P = 0.03). In contrast the MAP3K1 rs889312 association was only evident in nonsmokers (OR, 0.78; 95% CI, 0.64-0.95; P = 0.01). In addition, evaluation of the influence of the 10 SNPs on survival detected significant associations between outcome for locally advanced pancreatic cancer cases and both 8q rs6983561 (P = 0.045) and LUM rs2268578 (P = 0.02).
Conclusion: Association studies in a large pancreatic case-control study indicate that SNPs associated with breast cancer may also be associated with pancreatic cancer susceptibility and survival. (Cancer Epidemiol Biomarkers Prev 2009;18(11):3044–8)
Introduction
Pancreatic cancer is a common cancer affecting both men and women; it ranks fourth as a cause of death from cancer in the United States. Familial clustering or a family history of pancreatic cancer is a significant risk factor for the disease (1, 2), suggesting that susceptibility to pancreatic cancer can be inherited. It has been estimated that 10% to 20% of pancreatic cancers arise due to a significant inherited component (3). Several high-penetrance susceptibility genes including p16 (familial atypical melanoma mole syndrome; ref. 4), STK11 (Peutz-Jeghers syndrome; ref. 5), hMLH1 (hereditary nonpolyposis colon cancer; ref. 6), FANCC (7, 8), PRSS1 (hereditary pancreatitis; ref. 9), BRCA2 (10), and PalB2 (11) have been identified. However, mutations in these genes account for <5% of all pancreatic cancers. This suggests that low-penetrant and moderately penetrant inherited variants may account in part for the remaining familial risk of pancreatic cancer.
Genome-wide association studies and candidate gene studies of large sets of cases and controls have successfully identified a number of low-penetrance commonly inherited variants associated with a number of different diseases. Few commonly inherited variants associated with risk of pancreatic cancer have been identified to date, although this will likely change when genome-wide association studies for pancreatic cancer are completed. Another method for identifying single nucleotide polymorphisms (SNP) associated with pancreatic cancer susceptibility is to evaluate SNPs that predispose to other forms of cancer. This approach is based on the observation that certain SNPs have been associated with risk of more than one cancer. For instance, rs6983561 in the 8q24 region (12) and rs7931342 in the 11q13 region (13) have been associated with breast and prostate cancer, whereas rs2660753 in the 3p12 region has been associated with both prostate and ovarian cancer (13). Furthermore, the involvement of several pancreatic cancer predisposition loci, including BRCA2, p53, and MLH1, in breast and other cancers, suggests that these different types of cancer have common predisposition mechanisms that may include commonly inherited SNPs.
Here we evaluated seven SNPs previously associated with breast cancer risk (14-18) for influence on pancreatic cancer risk using 1,143 Caucasian pancreatic cancer cases recruited through a rapid ascertainment protocol and 1,097 Caucasian unaffected controls. In addition, three SNPs from the 8q24 region, including one associated with breast cancer risk alone and two with prostate cancer risk, were studied (12, 14, 19).
Materials and Methods
Pancreatic Cancer Case-Control Study
From October 2000 through March 2007, patients with pancreatic adenocarcinoma were consecutively recruited under an ultrarapid recruitment protocol (recruitment at the time of clinic visit for the initial work up for pancreatic cancer) to a registry during their visit to the Mayo Clinic. Of those approached, 71% consented to participate in the study. A total of 1,203 individuals with pancreatic adenocarcinoma with completed risk factor and family history questionnaires and available blood samples for DNA analysis, representing 62% of all pancreatic adenocarcinoma patients identified at Mayo Clinic during this time period, were selected for genotyping. The median time from initial diagnosis to enrollment on the study was 14 d (25-75% 2-40 d). The median/mean age at diagnosis for all pancreas adenocarcinoma cases at Mayo Clinic over the same time period was 66/65.6 y, versus 67/65.5 for cases included in this study.
Stage of disease at surgery was abstracted from the medical record and categorized as resectable, locally advanced, metastatic, and not specified. When grouping study cases by stage, 29% were resected, 33% were locally advanced, and 38% were metastatic. In contrast, when grouping all pancreatic cancer cases at Mayo Clinic during the same period, 24% were resected, 33.5% were locally advanced, and 42.5% were metastatic. Thus, a slightly higher proportion of patients undergoing surgery participated in the study. Overall, the participating cases were representative of the overall Mayo Clinic pancreatic adenocarcinoma patient population.
From May 2004 to February 2007, healthy controls were recruited from the General Internal Medicine clinic at Mayo Clinic, Rochester (20). Peripheral blood was collected for DNA analysis and risk factor questionnaires were administered. For this study, 1,203 controls frequency-matched to cases on gender, residence [three-state (MN, WI, IA) or five-state area (MN, WI, IA, SD, ND), or outside of area], age at recruitment (in 5-y increments), and race/ethnicity were selected.
Study participants provided information about age at initiation and cessation of smoking and the number of packs smoked per day, or smoking information was extracted from the participant's medical record. Smoking data were available for 99.7% of study participants. Subjects were categorized as “never smokers” and “ever smokers” (≥100 cigarettes in their lifetime). Ever smokers were further stratified by current and former smoking status and by number of pack-years of smoking (≤20, >20-40, and >40 pack-years).
Overall survival data were obtained from the medical record death certificates, online resources (Accurint), and direct contact with next of kin. The median survival time was 271 d. This study was approved by the Mayo Clinic Institutional Review Board.
Genotyping
All DNA samples were genotyped in the Mayo Clinic Genotyping Shared Resource on an Illumina Golden Gate Custom 768-plex OPA panel as part of a combined effort to genotype SNPs in pancreatic cases and controls. Ten SNPs were selected for this study and 758 SNPs were selected by other investigators to address other hypotheses. BeadStudio II software was used to analyze the data and prepare reports. Cases and controls were intermixed on plates. Genotyping was successful for 1,189 cases (1,143 Caucasian) and 1,126 controls (1,097 Caucasian) with average SNP call rate and sample success rates >99%. Forty-seven duplicate pairs displayed 99.9% concordance.
Statistical Analysis
Cases and controls were similar in age but differed in body mass index, gender (despite attempted frequency matching), percent of ever smokers, and percent reporting a first-degree relative with pancreatic cancer as shown in Table 1. All SNPs were in Hardy-Weinberg equilibrium (P > 0.05). The association between each SNP and disease was assessed using unconditional logistic regression under a log-additive model using SAS (SAS software, version 9.1.2). Multivariate logistic analyses adjusted for age, gender, smoking status (ever/never), family history of pancreas cancer in a first-degree relative (yes/no), and body mass index were also done. These analyses were adjusted for multiple testing using a Bonferroni correction. In addition, analyses were conducted following stratification of cases and controls by gender and extent of smoking (ever/never and pack-years). Associations with overall survival (based on date of diagnosis to date of death or last contact) were assessed using a Cox proportional hazards model adjusted for age at diagnosis, gender, and pancreatic cancer stage (resectable, locally advanced, and metastatic).
Variable . | Cases (n = 1,143) . | Controls (n = 1,097) . | P . |
---|---|---|---|
. | n (%) . | n (%) . | . |
Mean age at diagnosis or recruitment, y | 65.5 | 65.6 | 0.79 |
Age <60 y | 329 (29) | 297 (27) | 0.37 |
Gender - Male | 668 (58) | 557 (51) | <0.001 |
Ethnicity - Non-Hispanic Whites* | 1,143 (100) | 1,097 (100) | |
Smoking | |||
Ever smoker | 682 (60) | 505 (46) | <0.001 |
Smoking status | <0.001 | ||
Never smoker† | 455 (40) | 592 (54) | |
Former smoker | 527 (47) | 458 (42) | |
Current smoker | 148 (13) | 41 (4) | |
Missing | 13 | 6 | |
Years smoked (±SD) | 22.4 ± 16.9 | 18.2 ± 14.0 | <0.001 |
Pack-years smoked (±SD) | 17.0 ± 23.0 | 9.3 ± 17.2 | <0.001 |
Body mass index (±SD) | 27.8 ± 5.5 | 27.2 ± 4.7 | 0.01 |
Region | <0.001 | ||
MN, IA, or WI (Tristate) | 579 (51) | 748 (68) | |
North or South Dakota | 94 (8) | 40 (4) | |
Other USA | 448 (39) | 308 (28) | |
Other country | 22 (2) | 1 (0) | |
Pancreas cancer status at enrollment | |||
Resectable | 328 (29) | 0 (-) | |
Locally advanced | 379 (33) | 0 (-) | |
Metastatic | 430 (38) | 0 (-) | |
Not specified | 6 (1) | 0 (-) | |
Family history of pancreatic cancer (1st degree) | 79 (7) | 43 (4) | 0.002 |
Variable . | Cases (n = 1,143) . | Controls (n = 1,097) . | P . |
---|---|---|---|
. | n (%) . | n (%) . | . |
Mean age at diagnosis or recruitment, y | 65.5 | 65.6 | 0.79 |
Age <60 y | 329 (29) | 297 (27) | 0.37 |
Gender - Male | 668 (58) | 557 (51) | <0.001 |
Ethnicity - Non-Hispanic Whites* | 1,143 (100) | 1,097 (100) | |
Smoking | |||
Ever smoker | 682 (60) | 505 (46) | <0.001 |
Smoking status | <0.001 | ||
Never smoker† | 455 (40) | 592 (54) | |
Former smoker | 527 (47) | 458 (42) | |
Current smoker | 148 (13) | 41 (4) | |
Missing | 13 | 6 | |
Years smoked (±SD) | 22.4 ± 16.9 | 18.2 ± 14.0 | <0.001 |
Pack-years smoked (±SD) | 17.0 ± 23.0 | 9.3 ± 17.2 | <0.001 |
Body mass index (±SD) | 27.8 ± 5.5 | 27.2 ± 4.7 | 0.01 |
Region | <0.001 | ||
MN, IA, or WI (Tristate) | 579 (51) | 748 (68) | |
North or South Dakota | 94 (8) | 40 (4) | |
Other USA | 448 (39) | 308 (28) | |
Other country | 22 (2) | 1 (0) | |
Pancreas cancer status at enrollment | |||
Resectable | 328 (29) | 0 (-) | |
Locally advanced | 379 (33) | 0 (-) | |
Metastatic | 430 (38) | 0 (-) | |
Not specified | 6 (1) | 0 (-) | |
Family history of pancreatic cancer (1st degree) | 79 (7) | 43 (4) | 0.002 |
*Only Non-Hispanic whites included in the analysis.
†Defined as <100 cigarettes in lifetime.
Results and Discussion
Ten SNPs were evaluated for an influence on pancreatic cancer risk in a large pancreatic cancer case-control study in which the cases were recruited through a rapid-ascertainment protocol. Five of the ten SNPs were selected because of associations with breast cancer risk in breast cancer genome-wide association studies. These included SNPs in the MAP3K1, LSP1, and H19 loci (14), a SNP in FGFR2 (14, 18), and a SNP in the TOX3/TNRC9 locus in the 16q12 region (14, 15). In addition, a SNP in CASP8, validated as a protective factor against breast cancer by the Breast Cancer Association Consortium (16), three SNPs in the 8q24 region associated with breast cancer risk alone (rs13281615; refs. 12, 14) or prostate cancer risk (rs6983561, rs13254738; refs. 12, 19), and a SNP in LUM identified as a candidate risk factor for breast cancer (17), were studied. Genotypes from a total of 1,143 pancreatic cancer cases and 1,097 unaffected controls were obtained for each of the SNPs.
Results from tests for association are shown in Table 2. Two SNPs showed evidence of significant (P < 0.05) associations with pancreatic cancer risk under a log-additive model (Table 2). The CASP8 rs1045485 was associated with a decreased risk of pancreatic cancer [odds ratio (OR), 0.79; 95% confidence interval (95% CI), 0.67-0.94; P = 0.008], in keeping with the effect of the SNP on breast cancer risk. The MAP3K1 SNP rs889312 was also associated with a reduced risk of pancreatic cancer (OR, 0.85; 95% CI, 0.75-0.97; P = 0.017). This is the opposite effect to that seen for breast cancer and may reflect a nonspecific association or opposite effects on complex signaling pathways in different tissue types. None of the other eight SNPs displayed significant associations with pancreatic cancer. Analyses were repeated using a multivariate model in which ORs were adjusted for age at diagnosis or consent, gender, ever/never smoking, body mass index, and family history of pancreatic cancer. The effects of these SNPs on risk were not substantially altered when accounting for these covariates, although CASP8 rs1045485 displayed a more highly significant association with pancreatic cancer risk (P = 0.0048; Table 2). Importantly, this SNP maintained significance even after Bonferroni correction for multiple testing. In further exploratory studies, evaluation of gender-specific associations detected the strongest association for the CASP8 SNP (OR, 0.72; 95% CI, 0.55-0.93; P = 0.011) among females and for the MAP3K1 SNP among males (OR, 0.81; 95% CI, 0.68-0.97; P = 0.02; Table 3). None of the other SNPs displayed gender-specific significant associations.
Gene . | Chromosome . | SNP . | OR (95% CI) . | P trend . | Adjusted* OR (95% CI) . | P trend . |
---|---|---|---|---|---|---|
CASP8 | 2 | rs1045485 | 0.79 (0.67- 0.94) | 0.008 | 0.78 (0.65- 0.93) | 0.0048 |
MAP3K1 | 5q | rs889312 | 0.85 (0.75-0.97) | 0.017 | 0.85 (0.74-0.97) | 0.017 |
8q24 | 8q | rs13254738 | 0.94 (0.83-1.07) | 0.36 | 0.96 (0.84-1.09) | 0.48 |
8q24 | 8q | rs6983561 | 1.08 (0.77-1.51) | 0.67 | 1.08 (0.76-1.53) | 0.67 |
8q24 | 8q | rs13281615 | 1.00 (0.89-1.13) | 0.96 | 0.98 (0.87-1.11) | 0.80 |
FGFR2 | 10q | rs2981582 | 1.00 (0.88-1.13) | 0.97 | 0.99 (0.87-1.12) | 0.87 |
LSP1 | 11p | rs3817198 | 1.07 (0.94-1.22) | 0.29 | 1.06 (0.93-1.21) | 0.37 |
H19 | 11q | rs2107425 | 0.96 (0.84-1.09) | 0.48 | 0.96 (0.84-1.09) | 0.51 |
LUM | 12 | rs2268578 | 1.10 (0.92-1.31) | 0.30 | 1.11 (0.92-1.33) | 0.27 |
TNRC9 | 16q | rs3803662 | 1.08 (0.95-1.230 | 0.25 | 1.07 (0.93-1.23) | 0.35 |
Gene . | Chromosome . | SNP . | OR (95% CI) . | P trend . | Adjusted* OR (95% CI) . | P trend . |
---|---|---|---|---|---|---|
CASP8 | 2 | rs1045485 | 0.79 (0.67- 0.94) | 0.008 | 0.78 (0.65- 0.93) | 0.0048 |
MAP3K1 | 5q | rs889312 | 0.85 (0.75-0.97) | 0.017 | 0.85 (0.74-0.97) | 0.017 |
8q24 | 8q | rs13254738 | 0.94 (0.83-1.07) | 0.36 | 0.96 (0.84-1.09) | 0.48 |
8q24 | 8q | rs6983561 | 1.08 (0.77-1.51) | 0.67 | 1.08 (0.76-1.53) | 0.67 |
8q24 | 8q | rs13281615 | 1.00 (0.89-1.13) | 0.96 | 0.98 (0.87-1.11) | 0.80 |
FGFR2 | 10q | rs2981582 | 1.00 (0.88-1.13) | 0.97 | 0.99 (0.87-1.12) | 0.87 |
LSP1 | 11p | rs3817198 | 1.07 (0.94-1.22) | 0.29 | 1.06 (0.93-1.21) | 0.37 |
H19 | 11q | rs2107425 | 0.96 (0.84-1.09) | 0.48 | 0.96 (0.84-1.09) | 0.51 |
LUM | 12 | rs2268578 | 1.10 (0.92-1.31) | 0.30 | 1.11 (0.92-1.33) | 0.27 |
TNRC9 | 16q | rs3803662 | 1.08 (0.95-1.230 | 0.25 | 1.07 (0.93-1.23) | 0.35 |
*OR and 95% CI after adjustment for age at diagnosis, gender, ever/never smoking, body mass index, and family history of pancreatic cancer.
Gene . | SNP . | Strata . | OR (95% CI) . | P trend . |
---|---|---|---|---|
CASP8 | rs1045485 | Overall | 0.79 (0.67-0.94) | 0.008 |
Male | 0.86 (0.68-1.08) | 0.19 | ||
Female | 0.72 (0.55-0.93) | 0.011 | ||
Nonsmoker | 0.92 (0.71-1.20) | 0.54 | ||
Ever smoker | 0.69 (0.55-0.87) | 0.0018 | ||
Pack-years <20 | 0.73 (0.49-1.08) | 0.11 | ||
Pack-years 20-40 | 0.64 (0.39-1.06) | 0.085 | ||
Pack-years ≥40 | 0.52 (0.29-0.93) | 0.028 | ||
MAP3K1 | rs889312 | Overall | 0.85 (0.75-0.97) | 0.017 |
Male | 0.81 (0.68-0.97) | 0.02 | ||
Female | 0.91 (0.74-1.10) | 0.32 | ||
Nonsmoker | 0.78 (0.64-0.95) | 0.013 | ||
Ever smoker | 0.92 (0.77-110) | 0.34 | ||
H19 | rs2107425 | Overall | 0.96 (0.84-1.09) | 0.48 |
Nonsmoker | 1.12 (0.94-1.35) | 0.21 | ||
Ever smoker | 0.82 (0.69-0.98) | 0.033 | ||
LUM | rs2268578 | Overall | 1.10 (0.92-1.31) | 0.30 |
Nonsmoker | 1.31 (1.03-1.68) | 0.03 | ||
Ever smoker | 0.95 (0.74-1.22) | 0.69 |
Gene . | SNP . | Strata . | OR (95% CI) . | P trend . |
---|---|---|---|---|
CASP8 | rs1045485 | Overall | 0.79 (0.67-0.94) | 0.008 |
Male | 0.86 (0.68-1.08) | 0.19 | ||
Female | 0.72 (0.55-0.93) | 0.011 | ||
Nonsmoker | 0.92 (0.71-1.20) | 0.54 | ||
Ever smoker | 0.69 (0.55-0.87) | 0.0018 | ||
Pack-years <20 | 0.73 (0.49-1.08) | 0.11 | ||
Pack-years 20-40 | 0.64 (0.39-1.06) | 0.085 | ||
Pack-years ≥40 | 0.52 (0.29-0.93) | 0.028 | ||
MAP3K1 | rs889312 | Overall | 0.85 (0.75-0.97) | 0.017 |
Male | 0.81 (0.68-0.97) | 0.02 | ||
Female | 0.91 (0.74-1.10) | 0.32 | ||
Nonsmoker | 0.78 (0.64-0.95) | 0.013 | ||
Ever smoker | 0.92 (0.77-110) | 0.34 | ||
H19 | rs2107425 | Overall | 0.96 (0.84-1.09) | 0.48 |
Nonsmoker | 1.12 (0.94-1.35) | 0.21 | ||
Ever smoker | 0.82 (0.69-0.98) | 0.033 | ||
LUM | rs2268578 | Overall | 1.10 (0.92-1.31) | 0.30 |
Nonsmoker | 1.31 (1.03-1.68) | 0.03 | ||
Ever smoker | 0.95 (0.74-1.22) | 0.69 |
Subsequently, the influence of smoking on these associations was assessed. The CASP8 SNP displayed strongest effects among ever-smokers (OR,0.69; 95% CI, 0.55-0.87; P = 0.0018) and heavy smokers (pack-years ≥40; OR, 0.52; 95% CI, 0.29-0.93; P = 0.028; Table 3). In contrast, the MAP3K1 SNP displayed the strongest effect among nonsmokers (OR, 0.78; 95% CI, 0.64-0.95; P = 0.013; Table 3). Stratification by smoking status also identified significant associations between H19 rs2107425 (OR, 0.82; 95% CI, 0.69-0.98; P = 0.033) and risk in ever smokers, and between LUM rs2268578 (OR, 1.31; 95% CI, 1.03-1.68; P = 0.03) and risk in nonsmokers, despite an absence of significance in the overall case-control study.
Next the influence of the 10 SNPs on overall survival among the pancreatic cancer cases was evaluated. A total of 1,030 cases were assessed as a group and when categorized as resectable (n = 304), locally advanced (n = 347) or metastatic (n = 379) cancers. Analyses showed that MAP3K1 rs889312 was marginally significant (P = 0.05) overall, but not in any of the individual categories (Table 4). Similarly, 8q rs6983561 displayed a marginally significant association with overall survival in the locally advanced cases (P = 0.045). However, LUM rs2268578 was more significantly associated with outcome in the locally advanced cases (Hazard Ratio, 0.72; 95% CI, 0.55-0.95; P = 0.02; Table 4).
Gene . | SNP . | Overall survival . | Locally advanced survival . | ||
---|---|---|---|---|---|
HR (95% CI) . | P . | HR (95% CI) . | P . | ||
CASP8 | rs1045485 | 0.91 (0.77-1.07) | 0.24 | 0.93 (0.7-1.25) | 0.64 |
MAP3K1 | rs889312 | 1.14 (1.0-1.31) | 0.05 | 1.13 (0.89-1.42) | 0.31 |
8q24 | rs13254738 | 1.12 (0.98-1.29) | 0.10 | 1.01 (0.8-1.28) | 0.91 |
8q24 | rs13281615 | 1.00 (0.87-1.15) | 0.99 | 0.92 (0.72-1.17) | 0.48 |
8q24 | rs6983561 | 1.24 (0.95-1.61) | 0.12 | 1.55 (1.01-2.38) | 0.045 |
FGFR2 | rs2981582 | 1.02 (0.89-1.18) | 0.73 | 1.08 (0.85-1.37) | 0.55 |
H19 | rs2107425 | 0.97 (0.85-1.11) | 0.67 | 1 (0.79-1.26) | 0.99 |
LSP1 | rs3817198 | 1.08 (0.94-1.24) | 0.26 | 1.18 (0.93-1.49) | 0.16 |
LUM | rs2268578 | 0.92 (0.78-1.08) | 0.29 | 0.72 (0.55-0.95) | 0.02 |
TOX3/TNRC9 | rs3803662 | 0.90 (0.79-1.04) | 0.16 | 0.88 (0.7-1.11) | 0.28 |
Gene . | SNP . | Overall survival . | Locally advanced survival . | ||
---|---|---|---|---|---|
HR (95% CI) . | P . | HR (95% CI) . | P . | ||
CASP8 | rs1045485 | 0.91 (0.77-1.07) | 0.24 | 0.93 (0.7-1.25) | 0.64 |
MAP3K1 | rs889312 | 1.14 (1.0-1.31) | 0.05 | 1.13 (0.89-1.42) | 0.31 |
8q24 | rs13254738 | 1.12 (0.98-1.29) | 0.10 | 1.01 (0.8-1.28) | 0.91 |
8q24 | rs13281615 | 1.00 (0.87-1.15) | 0.99 | 0.92 (0.72-1.17) | 0.48 |
8q24 | rs6983561 | 1.24 (0.95-1.61) | 0.12 | 1.55 (1.01-2.38) | 0.045 |
FGFR2 | rs2981582 | 1.02 (0.89-1.18) | 0.73 | 1.08 (0.85-1.37) | 0.55 |
H19 | rs2107425 | 0.97 (0.85-1.11) | 0.67 | 1 (0.79-1.26) | 0.99 |
LSP1 | rs3817198 | 1.08 (0.94-1.24) | 0.26 | 1.18 (0.93-1.49) | 0.16 |
LUM | rs2268578 | 0.92 (0.78-1.08) | 0.29 | 0.72 (0.55-0.95) | 0.02 |
TOX3/TNRC9 | rs3803662 | 0.90 (0.79-1.04) | 0.16 | 0.88 (0.7-1.11) | 0.28 |
NOTE: Survival time is based on date of diagnosis to date of death/last contact. Adjusted for age at diagnosis, gender, and pancreatic cancer stage (resectable, locally advanced, metastatic).
Abbrevation: HR, Hazard Ratio.
In summary, eight SNPs associated with breast cancer risk and two additional SNPs (from the 8q24 region) associated with prostate cancer risk were evaluated for effects on pancreatic cancer risk in a large case-control study. Two SNPs in the CASP8 and MAP3K1 loci displayed significant associations with pancreatic cancer risk. Importantly the CASP8 rs1045485 retained significance after adjusting for multiple testing. This is consistent with the recently reported association between a -652 6N del polymorphism in CASP8 and a reduced risk of pancreatic cancer in the Han Chinese population (21). It is also interesting to note that both the direction and the strength of the effects were consistent with those observed in the initial breast cancer studies that identified these SNPs as risk factors for breast cancer. Together these findings suggest that SNPs in high linkage disequilibrium with these SNPs in the CASP8 locus may influence the risk of pancreatic cancer in the general population. Additional studies of pancreatic cancer cases and controls are needed to further establish the relevance of these findings.
Smoking, a major source of carcinogen exposure, is an established risk factor for pancreatic cancer (22). The results from this study indicated that rs1045485 in CASP8 showed the strongest protective effect against pancreatic cancer in ever smokers. Furthermore, the effect size was highly correlated with the amount of smoking. We speculate that the modification of caspase 8 activity or expression by SNPs in the CASP8 locus may alter the cellular response to smoking. Similarly, the finding that MAP3K1 rs889312 was only significantly associated with risk in nonsmokers and that H19 rs2107425 and LUM rs2268578 only exhibited significant effects on risk in the presence and absence of smoking, respectively, suggests that additional studies should be conducted to determine whether these SNPs are important modifiers of the smoking-associated risk of pancreatic cancer.
Finally, the influence of the breast cancer–associated SNPs on overall survival of pancreatic cancer cases was evaluated. Only MAP3K1 rs889312 showed evidence of even a marginally significant association with survival. This SNP was positively associated with overall survival (Table 4) consistent with a protective influence on risk (Table 2). Similarly, the effects of 8q24 rs6983561 and LUM rs2268578 on survival, albeit in locally advanced cancer patients only, were in keeping with the influence of these SNPs on risk. None of these findings maintained significance after adjustment for multiple testing. These limited findings were not unexpected because none of the SNPs displayed significant associations with breast cancer survival in recent studies by the Breast Cancer Association Consortium (23).
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
Acknowledgments
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.