Case-Oriented Pathways Analysis in Pancreatic Adenocarcinoma

• Activity Number: 242
• Type: Contributed
• Date/Time: Monday, August 1, 2016 : 2:00 PM to 3:50 PM
• Sponsor: Biometrics Section
• Author(s): Yen-Yi Ho* and Timothy K. Starr and Rebecca S. LaRue and David A. Largaespada
• Companies: University of Minnesota and University of Minnesota and Minnesota Super Computing Institute and University of Minnesota
• Keywords: Case-oriented gene set analysis ; Cancer mutation analysis ; Driver pathway

Abstract

Background: Mutation studies of pancreatic ductal adenocarcinoma (PDA) have cataloged a number of genes mutated at high frequencies, but also report a very large number of genes mutated in lower percentages of tumors. Result: In this project, we determined whether the genetic mutations in SB-accelerated PDA occur within a collated group of biological processes defined as gene sets. The approach considered both genes mutated in high and lower frequencies. We implemented a case-oriented, gene set enrichment analysis (CO-GSEA) on SB altered genes in PDA. Compared to traditional GSEA, CO-GSEA enables us to consider individual characteristics of mutation profiles of each PDA tumor. We identified genetic pathways with higher numbers of genetic mutations than expected by chance.