Several published studies identified associations of a number of polymorphisms with a variety of survival outcomes in colorectal cancer. In this study, we aimed to explore 102 previously reported common genetic polymorphisms and their associations with overall survival (OS) and disease-free survival (DFS) in a colorectal cancer patient cohort from Newfoundlandn=505. Genotypes were obtained using a genomewide SNP genotyping platform. For each polymorphism, the best possible genetic model was estimated for both overall survival and disease-free survival using a previously published approach. These SNPs were then analyzed under their genetic models by Cox regression method. Correction for multiple comparisons was performed by the False Discovery Rate (FDR) method. Univariate analysis results showed thatRRM1-rs12806698,IFNGR1-rs1327474,DDX20-rs197412, andPTGS2-rs5275 polymorphisms were nominally associated with OS or DFSp<0.01. In stage-adjusted analysis, the nominal associations ofDDX20-rs197412,PTGS2-rs5275, andHSPA5-rs391957 with DFS were detected. However, after FDR correction none of these polymorphisms remained significantly associated with the survival outcomes. We conclude that polymorphisms investigated in this study are not associated with OS or DFS in our colorectal cancer patient cohort.
Abstract 4049: Assessment of immune biomarkers by digital pathological analysis across a large colorectal cancer patient cohort predicts patient outcome and may provide a clinically relevant therapeutic index for immunotherapeutic treatment stratification
