LAUSR

52Background: Molecular heterogeneity of gastric cancer discerns patient survival in ways that clinically-based prediction models cannot. To date, individual microRNAs(miRs) expressed by gastric tumors have been associated with survival. We offer a unique molecular-based method of prognosticating the survival of gastric cancer patients with an efficient panel of miRs. Methods: From The Cancer Genome Atlas(TCGA), we studied subjects with gastric adenocarcinoma, who had undergone R0-R1 resection and had data on clinical characteristics, overall survival (OS), and miR expression. Of miRs quantified by TCGA, miRs expressed by at least 15% of subjects’ tumors were evaluated as continuous variables. From 10 replicate samples, each containing 80% of current subjects, miRs were selected using proportional hazards regression adjusted for age with stepwise selection. Cross-validated miRs were retained for the panel if they optimized an accelerated failure-time model of OS using the full cohort. Results: Among subje...