141PA 13-gene signature of DNA repair predicts prognosis in gastric cancer patients

Abstract Background DNA repair genes can be used as prognostic biomarkers in many types of cancer. We aimed to identify prognostic DNA repair genes in patients with gastric cancer (GC) by systematically bioinformatic approaches using web-based database. Methods Global gene expression profiles from altogether 1,325 GC patients’ samples from six independent datasets were included in the study. Clustering analysis was performed to screen potentially abnormal DNA repair genes related to the prognosis of GC, followed by unsupervised clustering analysis to identify molecular subtypes of GC. Characteristics and prognosis differences were analyzed among these molecular subtypes, and modular key genes in molecular subtypes were identified based on changes in expression correlation. Multivariate Cox proportional hazard analysis was used to find the independent prognostic gene. Kaplan-Meier method and log-rank test was used to estimate correlations of key DNA repair genes with GC patients’overall survival. Results There were 57 key genes significantly associated to GC patients’ prognosis, and patients were stratified into three molecular clusters based on their expression profiles, in which patients in Cluster 3 showed the best survival (P  Conclusions Our results suggest a great potential for the use of DNA repair gene profiling as a powerful marker in prognostication and inform treatment decisions for GC patients. Legal entity responsible for the study The authors. Funding This study was supported by the National Natural Science Foundation of China (81602081, 81602078). Disclosure All authors have declared no conflicts of interest.