Molecular Epidemiology of Pancreatic Cancer

描述（由申请人提供）：本申请100%与PC相关。最近的研究表明，与异常糖代谢相关的因素在PC的发展中很重要。我们假设胰岛素抵抗（IR）在PC病因中是一个促进生长的因素。此外，胰岛素、葡萄糖和脂质代谢以及IR候选基因的遗传变异与PC风险有关。一项基于临床的病例对照研究将包括从UCSF诊所获得的600名患者和600名对照组。详细的饮食史，体重指数，肥胖，体育活动，糖尿病和其他因素，包括药物使用和吸烟将在访谈中收集。我们将采集符合条件的参与者的血液。UCSF的分子流行病学核心将处理所有血液并提取DMA用于分子/遗传研究。snp将检测与IR和代谢以及脂质代谢相关的候选基因。基因检测将使用加州大学旧金山分校的基因组核心设施和人员进行。

DESCRIPTION (provided by applicant): 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.