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Dietary fat, prediction of insulin-related and inflammatory biomarkers and pancreatic cancer risk

Principal Investigator
Name
Rachael Stolzenberg-Solomon
Institution
NCI, DCEG, NEB
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
2011-0225
Initial CDAS Request Approval
Nov 3, 2011
Title
Dietary fat, prediction of insulin-related and inflammatory biomarkers and pancreatic cancer risk
Summary
Previous studies of the association between dietary fat and pancreatic cancer are inconsistent. The proposed study will examine the association between total dietary fat, fat-subtypes and individual fatty acids with risk of pancreatic cancer prospectively in the Prostate, Lung, Ovarian, and Colorectal Cancer Screening Trial (PLCO) cohort. We also plan to assess how dietary fat correlates with serum biomarkers related to insulin growth factors and inflammation, which are thought to be intermediaries in pancreatic cancer development. We will use cox proportional hazards to compare quintiles of fat intake and correlation analyses and regression techniques to study the association between dietary fat and serum biomarkers.
Aims

The primary aims of this study are: 1) To examine the association between dietary fat, fatty acids and pancreatic cancer in the PLCO trial. We hypothesize that total fat will be positively associated with pancreatic cancer; however, as previously shown in PLCO data saturated fat may show an inverse relationship with risk. 2) To determine correlations between dietary fat and insulin-related, inflammatory, and possibly other previously measured biomarkers. We hypothesize that we will observe significant correlations between dietary fat intake and IGFBP-3, C-peptide and C-reactive protein. The secondary aim of this study is: 1) To examine differences in associations between the DQX and the DHQ. Previous studies have shown differences in association with cancer risk between the two instruments and attributed it to different study populations, follow up time, or different instruments [1].

Collaborators

Hannah Arem (DCEG)
Harvey Risch (Yale University, Department of Chronic Disease Epidemiology)
Rachael Stolzenberg-Solomon (DCEG)
Josh Sampson (DCEG)
Susan Mayne (Yale University, Dept of Chronic Disease Epidemiology)