This application is 100% related to PC. Recent studies show that factors associated with abnormal glucose metabolism are important in PC development. We hypothesize that insulin resistance (IR) is a growth-promoting factor in PC etiology. Also, genetic variation in insulin, glucose, and lipid metabolism and in candidate genes for IR are related to PC risk. A clinic-based case-control study will include 600 patients and 600 controls obtained from UCSF clinics. Detailed history of diet, body mass index, obesity, physical activity, diabetes and other factors including medication use and smoking will be collected during interviews. Blood will be collected from eligible participants. UCSF's Molecular Epidemiology Core will process all bloods and extract DMA for use in molecular/ genetic studies. SNPs will be examined in candidate genes related to IR and metabolism, and lipid metabolism. Genetic testing will be done using UCSF's Genome Core facilities and personnel. Main effects for exposures and SNPs will be evaluated as will gene-environment and gene-gene interactions when sample sizes permit. We will work with NCI on the PC consortium development and combine new data with data from our earlier population-based PC study (N=2,233) to conduct analyses. We will collaborate with Seattle and Mayo clinic PC studies to pool data and increase power to study rare exposures and factors within small groups. Major strengths are: 1. Large number of PC cases will allow analyses by sex, ethnicity and race;2. Innovative hypotheses to advance PC research (e.g. SNPs);3. Expertise of lab faculty and facilities;4. No proxy interviews;5. Clinic-based cases will diminish case loss due to poor survival;6. Studies of diabetes, IR, diet, obesity, physical activity and SNPs are innovative and new to large studies of PC;7. Blood samples will be banked for future genetic studies and data will be pooled for greater statistical power.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA109767-06
Application #
7869346
Study Section
Epidemiology of Cancer Study Section (EPIC)
Program Officer
Reid, Britt C
Project Start
2005-09-29
Project End
2012-06-30
Budget Start
2010-07-01
Budget End
2012-06-30
Support Year
6
Fiscal Year
2010
Total Cost
$472,715
Indirect Cost
Name
University of California San Francisco
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Lujan-Barroso, Leila; Zhang, Wei; Olson, Sara H et al. (2016) Menstrual and Reproductive Factors, Hormone Use, and Risk of Pancreatic Cancer: Analysis From the International Pancreatic Cancer Case-Control Consortium (PanC4). Pancreas 45:1401-1410
McWilliams, Robert R; Maisonneuve, Patrick; Bamlet, William R et al. (2016) Risk Factors for Early-Onset and Very-Early-Onset Pancreatic Adenocarcinoma: A Pancreatic Cancer Case-Control Consortium (PanC4) Analysis. Pancreas 45:311-6
Lea, C Suzanne; Holly, Elizabeth A; Bracci, Paige M (2015) Cigarette smoking and risk of pancreatic cancer: a clinic-based case-control study in the San Francisco Bay Area. Ann Epidemiol 25:816-23
Walker, Evan J; Ko, Andrew H; Holly, Elizabeth A et al. (2015) Statin use and risk of pancreatic cancer: results from a large, clinic-based case-control study. Cancer 121:1287-94
Childs, Erica J; Mocci, Evelina; Campa, Daniele et al. (2015) Common variation at 2p13.3, 3q29, 7p13 and 17q25.1 associated with susceptibility to pancreatic cancer. Nat Genet 47:911-6
Walker, Evan J; Ko, Andrew H; Holly, Elizabeth A et al. (2015) Metformin use among type 2 diabetics and risk of pancreatic cancer in a clinic-based case-control study. Int J Cancer 136:E646-53
Waterhouse, M; Risch, H A; Bosetti, C et al. (2015) Vitamin D and pancreatic cancer: a pooled analysis from the Pancreatic Cancer Case-Control Consortium. Ann Oncol 26:1776-83
Tang, Hongwei; Wei, Peng; Duell, Eric J et al. (2014) Genes-environment interactions in obesity- and diabetes-associated pancreatic cancer: a GWAS data analysis. Cancer Epidemiol Biomarkers Prev 23:98-106
Bosetti, C; Rosato, V; Li, D et al. (2014) Diabetes, antidiabetic medications, and pancreatic cancer risk: an analysis from the International Pancreatic Cancer Case-Control Consortium. Ann Oncol 25:2065-72
Klein, Alison P; Lindström, Sara; Mendelsohn, Julie B et al. (2013) An absolute risk model to identify individuals at elevated risk for pancreatic cancer in the general population. PLoS One 8:e72311

Showing the most recent 10 out of 31 publications