Petersen, Gloria M.

Abstract Registry-based epidemiologic studies suggest associations between chronic inflammatory intestinal diseases and pancreatic ductal adenocarcinoma (PDAC). As genetic susceptibility contributes to a large proportion of chronic inflammatory intestinal diseases, we hypothesize that the genomic regions surrounding established genome-wide associated variants for these chronic inflammatory diseases are associated with PDAC. We examined the association between PDAC and genomic regions (±500 kb) surrounding established common susceptibility variants for ulcerative colitis, Crohn's disease, inflammatory bowel disease, celiac disease, chronic pancreatitis, and primary sclerosing cholangitis. We analyzed summary statistics from genome-wide association studies data for 8,384 cases and 11,955 controls of European descent from two large consortium studies using the summary data-based adaptive rank truncated product method to examine the overall association of combined genomic regions for each inflammatory disease group. Combined genomic susceptibility regions for ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis were associated with PDAC at P values < 0.05 (0.0040, 0.0057, 0.011, and 3.4 × 10−6, respectively). After excluding the 20 PDAC susceptibility regions (±500 kb) previously identified by GWAS, the genomic regions for ulcerative colitis, Crohn disease, and inflammatory bowel disease remained associated with PDAC (P = 0.0029, 0.0057, and 0.0098, respectively). Genomic regions for celiac disease (P = 0.22) and primary sclerosing cholangitis (P = 0.078) were not associated with PDAC. Our results support the hypothesis that genomic regions surrounding variants associated with inflammatory intestinal diseases, particularly, ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis are associated with PDAC. Significance: The joint effects of common variants in genomic regions containing susceptibility loci for inflammatory bowel disease and chronic pancreatitis are associated with PDAC and may provide insights to understanding pancreatic cancer etiology.

Abstract Background: Obesity and diabetes are major modifiable risk factors for pancreatic cancer. Interactions between genetic variants and diabetes/obesity have not previously been comprehensively investigated in pancreatic cancer at the genome-wide level. Methods: We conducted a gene–environment interaction (GxE) analysis including 8,255 cases and 11,900 controls from four pancreatic cancer genome-wide association study (GWAS) datasets (Pancreatic Cancer Cohort Consortium I–III and Pancreatic Cancer Case Control Consortium). Obesity (body mass index ≥30 kg/m2) and diabetes (duration ≥3 years) were the environmental variables of interest. Approximately 870,000 SNPs (minor allele frequency ≥0.005, genotyped in at least one dataset) were analyzed. Case–control (CC), case-only (CO), and joint-effect test methods were used for SNP-level GxE analysis. As a complementary approach, gene-based GxE analysis was also performed. Age, sex, study site, and principal components accounting for population substructure were included as covariates. Meta-analysis was applied to combine individual GWAS summary statistics. Results: No genome-wide significant interactions (departures from a log-additive odds model) with diabetes or obesity were detected at the SNP level by the CC or CO approaches. The joint-effect test detected numerous genome-wide significant GxE signals in the GWAS main effects top hit regions, but the significance diminished after adjusting for the GWAS top hits. In the gene-based analysis, a significant interaction of diabetes with variants in the FAM63A (family with sequence similarity 63 member A) gene (significance threshold P < 1.25 × 10−6) was observed in the meta-analysis (PGxE = 1.2 ×10−6, PJoint = 4.2 ×10−7). Conclusions: This analysis did not find significant GxE interactions at the SNP level but found one significant interaction with diabetes at the gene level. A larger sample size might unveil additional genetic factors via GxE scans. Impact: This study may contribute to discovering the mechanism of diabetes-associated pancreatic cancer.

Background: Diabetes is a risk factor associated with pancreatic ductal adenocarcinoma (PDAC), and new adult-onset diabetes can be an early sign of pancreatic malignancy. Development of blood-based biomarkers to identify diabetic patients who warrant imaging tests for cancer detection may represent a realistic approach to facilitate earlier diagnosis of PDAC in a risk population. Methods: A spectral library-based proteomic platform was applied to interrogate biomarker candidates in plasma samples from clinically well-defined diabetic cohorts with and without PDAC. Random forest algorithm was used for prediction model building and receiver operating characteristic (ROC) curve analysis was applied to evaluate the prediction probability of potential biomarker panels. Results: Several biomarker panels were cross-validated in the context of detection of PDAC within a diabetic background. In combination with carbohydrate antigen 19-9 (CA19-9), the panel, which consisted of apolipoprotein A-IV (APOA4), monocyte differentiation antigen CD14 (CD14), tetranectin (CLEC3B), gelsolin (GSN), histidine-rich glycoprotein (HRG), inter-alpha-trypsin inhibitor heavy chain H3 (ITIH3), plasma kallikrein (KLKB1), leucine-rich alpha-2-glycoprotein (LRG1), pigment epithelium-derived factor (SERPINF1), plasma protease C1 inhibitor (SERPING1), and metalloproteinase inhibitor 1 (TIMP1), demonstrated an area under curve (AUC) of 0.85 and a two-fold increase in detection accuracy compared to CA19-9 alone. The study further evaluated the correlations of protein candidates and their influences on the performance of biomarker panels. Conclusions: Proteomics-based multiplex biomarker panels improved the detection accuracy for diagnosis of early stage PDAC in diabetic patients.

e16705 Background: The prevalence of pancreatic neuroendocrine tumors (PNETs) has increased in the last decade. Despite being clinically asymptomatic PNETs can be biologically aggressive. There is currently no reliable non-invasive diagnostic biomarker for PNETs. In this study we aimed to identify and validate methylated DNA marker (MDM) candidates that differentiate PNET from normal pancreas. Methods: For discovery, reduced representation bisulfite sequencing (RRBS) was performed on DNA extracted from frozen normal pancreas (n = 13) and PNET (n = 51) tissues. Area under the receiver operator characteristic curve (AUC), fold-change, and p-value criteria selected candidates MDMs for blinded validation in independent FFPE tissues from primary PNET (n = 67; solid = 50, cystic = 17), normal pancreas controls (n = 24), and normal buffy coat (n = 36) using methylation specific PCR. MDM distributions in primary PNETs were compared to primary lung (n = 36) and small bowel (n = 36) NETs and metastatic PNET tissue (n = 25). The discrimination accuracy of candidate markers was summarized as the AUC with corresponding 95% confidence intervals (CI). Results: From the RRBS discovery, 31 candidate MDMs were selected for validation. Four MDMs ( SRRM3, HCN2, SPTBN4 and TMC6) achieved individual AUCs ≥0.95 in the validation set (Table). These MDMs were similarly discriminant in metastatic PNET tissue and in primary lung and small bowel NETs. Three out of these 4 MDMs perfectly differentiated PNET tissue from buffy coat with AUC of 1 and may be ideally suited for further development of a blood-based assay. Conclusions: We identified and validated novel MDMs in tissue that discriminate PNETs from controls with normal pancreas and buffy coat with high accuracy. These MDMs also differentiated metastatic PNETs from normal pancreas tissue. Further exploration of these candidate tissue MDMs in plasma can potentially guide diagnosis and management of PNETs. Funding: P30DK084567. [Table: see text]

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies, with few known risk factors and biomarkers. Several blood protein biomarkers have been linked to PDAC in previous studies, but these studies have assessed only a limited number of biomarkers, usually in small samples. In this study, we evaluated associations of circulating protein levels and PDAC risk using genetic instruments. Methods: To identify novel circulating protein biomarkers of PDAC, we studied 8,280 cases and 6,728 controls of European descent from the Pancreatic Cancer Cohort Consortium and the Pancreatic Cancer Case-Control Consortium, using genetic instruments of protein quantitative trait loci. Results: We observed associations between predicted concentrations of 38 proteins and PDAC risk at an FDR of < 0.05, including 23 of those proteins that showed an association even after Bonferroni correction. These include the protein encoded by ABO, which has been implicated as a potential target gene of PDAC risk variant. Eight of the identified proteins (LMA2L, TM11D, IP-10, ADH1B, STOM, TENC1, DOCK9, and CRBB2) were associated with PDAC risk after adjusting for previously reported PDAC risk variants (OR ranged from 0.79 to 1.52). Pathway enrichment analysis showed that the encoding genes for implicated proteins were significantly enriched in cancer-related pathways, such as STAT3 and IL15 production. Conclusions: We identified 38 candidates of protein biomarkers for PDAC risk. Impact: This study identifies novel protein biomarker candidates for PDAC, which if validated by additional studies, may contribute to the etiologic understanding of PDAC development.

Objectives: Survival benefit of combination over single-agent chemotherapy for metastatic pancreatic ductal adenocarcinoma (PDAC) was demonstrated in younger patients in clinical trials. The authors aimed to evaluate whether this survival benefit of combination chemotherapy is present in elderly patients with metastatic PDAC. Materials and Methods: The authors identified elderly patients (age 65 y or older) with stage IV PDAC and extracted available clinical information from a prospectively maintained institutional pancreatic cancer registry from 2007 to 2016. The primary endpoint was overall survival. Cox proportional hazards regression was used for multivariable survival analyses. Survival outcomes for the entire cohort and by age group I (elderly, 65 to 75 y) and age group II (very elderly, older than 75 y) were assessed. Results: A total of 606 patients were included with a median age of 73.8 years. Among them, 239 patients (39%) received combination chemotherapy and 152 patients (25.1%) received single-agent chemotherapy as first-line treatment. Combination chemotherapy was associated with significantly longer median overall survival compared with single-agent chemotherapy (10.9 vs. 7.5 mo, P<0.001) with hazard ratio 0.62 (95% confidence interval, 0.47-0.81; P=0.001) after adjusting for age, sex, comorbidity, Eastern Cooperative Oncology Group (ECOG) performance status, and carbohydrate antigen 19-9 level. Analyses by age groups indicated that very elderly patients (age group II) benefited from combination chemotherapy compared with single-agent chemotherapy with hazard ratio 0.56 (95% confidence interval, 0.31-1; P=0.049), comparable with the age group I (P age-treatment interaction=0.81). Conclusion: Elderly patients, even those older than 75 years, with metastatic PDAC benefited from combination chemotherapy.

Background The association among gallbladder disease, cholecystectomy, and pancreatic cancer is unclear. Moreover, time interval between gallbladder disease or cholecystectomy and pancreatic cancer diagnosis is not considered in most previous studies. Aim To quantify the association among gallbladder disease, cholecystectomy, and pancreatic cancer, considering time since first diagnosis of gallbladder disease or cholecystectomy. Methods We used data from nine case-control studies within the Pancreatic Cancer Case-Control Consortium, including 5760 cases of adenocarcinoma of the exocrine pancreas and 8437 controls. We estimated pooled odds ratios and the corresponding 95% confidence intervals by estimating study-specific odds ratios through multivariable unconditional logistic regression models, and then pooling the obtained estimates using fixed-effects models. Results Compared with patients with no history of gallbladder disease, the pooled odds ratio of pancreatic cancer was 1.69 (95% confidence interval, 1.51–1.88) for patients reporting a history of gallbladder disease. The odds ratio was 4.90 (95% confidence interval, 3.45–6.97) for gallbladder disease diagnosed <2 years before pancreatic cancer diagnosis and 1.11 (95% confidence interval, 0.96–1.29) when ≥2 years elapsed. The pooled odds ratio was 1.64 (95% confidence interval, 1.43–1.89) for patients who underwent cholecystectomy, as compared to those without cholecystectomy. The odds ratio was 7.00 (95% confidence interval, 4.13–11.86) for a surgery <2 years before pancreatic cancer diagnosis and 1.28 (95% confidence interval, 1.08–1.53) for a surgery ≥2 years before. Conclusions There appears to be no long-term effect of gallbladder disease on pancreatic cancer risk, and at most a modest one for cholecystectomy. The strong short-term association can be explained by diagnostic bias and reverse causation.

Abstract Background: Leukocyte telomere length (LTL) has been associated with risk of multiple cancers, but its association with pancreatic ductal adenocarcinoma (PDAC) is unclear. We therefore investigated the association between peripheral blood LTL and PDAC risk, and examined effect modification by candidate SNPs previously reported to be associated with variation in LTL. Methods: A case–control study of 1,460 PDAC cases and 1,459 frequency-matched controls was performed using biospecimens and data from the Mayo Clinic Biospecimen Resource for Pancreas Research. Quantitative PCR was used to measure LTL and categorized into tertiles based on sex-specific control distribution. Eleven telomere-related SNPs also were genotyped. Logistic regression was used to calculate ORs and 95% confidence intervals (CI). Results: Shorter peripheral blood LTL was associated with a higher risk of PDAC (ORT1vsT3 = 1.26, 95% CI = 1.03–1.54, Ptrend = 0.02; ORcontinuous = 1.14, 95% CI = 1.02–1.28), but the association was restricted to cases with treatment-naïve blood samples (ORT1vsT3 = 1.51, 95% CI = 1.16–1.96, Ptrend = 0.002; ORcontinuous = 1.25, 95% CI = 1.08–1.45) and not cases whose blood samples were collected after initiation of cancer therapy (ORT1vsT3 = 1.10, 95% CI = 0.87–1.39, Ptrend = 0.42; ORcontinuous = 1.08, 95% CI = 0.94–1.23). Three SNPs (TERC-rs10936599, ACYP2-rs11125529, and TERC-rs1317082) were each associated with interindividual variation in LTL among controls, but there was no evidence of effect modification by these SNPs. Conclusions: Treatment-naïve short LTL is associated with a higher risk of PDAC, and the association does not differ by germline variation in the candidate telomere-related SNPs examined. Impact: Peripheral blood LTL might serve as a molecular marker for risk modeling to identify persons at high risk of PDAC.

e14594 Background: PNETs are uncommon malignancies and little is known about risk their factors and association with other cancers. Our aim was to evaluate smoking, alcohol use, personal history of diabetes and a family history of PNET and other cancers as potential risk factors. Methods: PNET cases seen at Mayo Clinic Rochester from 2000 to 2011 were evaluated. Insulinoma and high-grade PNETs were excluded. Primary care patients served as controls and were matched (2:1 ratio) to cases on age, sex and region of residence. Cases and controls completed questionnaires at the time of evaluation. Categorical variables were compared with the chi-square test; continuous variables were compared using a two-sample t test. Results: 355 cases were evaluated, mean age was 56.6 years, 52% were males and 96% were White. Personal smoking history was not associated with PNETs (cases 51%, controls 47%, p=0.24). Ever-alcohol use was less common among cases (54% vs. 67%, p=0.001). 19% of cases reported a history of diabetes compared with 11% of controls (p<0.001). Cases were more likely than controls to report a family member with sarcoma (p=0.02), PNET (p=0.024), gall bladder cancer (p=0.024), ovarian cancer (p=0.04) and stomach cancer (p=0.01). Conclusions: Cases with PNETs were more likely than controls to report a history of diabetes and less likely to report alcohol use. There was no association with smoking. Several types of cancer were more commonly reported in family members of cases than controls.

4584 Background: PETs (islet cell tumors) are uncommon and often indolent tumors, but little is known about the incidence of PETs in the US and trends in survival. Methods: The SEER registry was used to identify cases of functional PETs (fPETs) and non-functional PETs (nfPETs) diagnosed from 1973–2000. Benign insulinomas were excluded. Incidence rates were age adjusted to the standard US population for 2000. Results: Of 971 patients with PETs, 824 (85%) were nfPETs, 37 (4%) were malignant insulinomas, 88 (9%) were fPETs other than insulinoma, and data were missing for 22 (2%). The crude annual incidence of PETs (per 100,000) for all ages was 0.1 in females and 0.2 in males. The incidence was highest in the age group >70 years (0.4, Table ). Tumors were localized in 109 (11%), regionally advanced in 228 (23%), and distant metastases were present in 545 (56%). Patients with fPETs were younger than patients with nfPETs (mean age 54.2 vs. 57.6, p=0.038) and had a longer median survival (MS) (47 vs. 30 months (mos), p=0.001) but were as likely to have advanced disease (p=0.50). The 5 and 10 year overall survival was 45.3% vs. 32.7% and 31.7% vs. 18.1% for fPETs vs. nfPETs, respectively. MS was 95 mos for localized PETs, 66 mos in regionally advanced PETs and 19 mos for distant metastases (p<0.001). Race did not influence incidence and survival. On multivariate analysis, only age (p<0.0001) and stage (<0.0001) were independently associated with prognosis but the functional status of the tumor approached significance (p=0.053). Survival has improved over time with longer MS in patients diagnosed in later quartiles of the observation period (p<0.001, Table). This difference is not explained by stage migration, as patients in all four quartiles had a similar stage distribution (p=0.79). Conclusions: PETs are uncommon tumors and the prognosis is highly dependent on the stage and the age of the patients. Patients with fPETs may have a better prognosis than nfPETs. Survival has improved over time. [Table: see text] No significant financial relationships to disclose.