Characterization of gene expression profiles of gastric cancer in Kosin University cohort

Clinical heterogeneity of gastric cancer reflected in unequal outcome of treatment is poorly defined in molecular level, and molecular subtypes and their associated biomarkers have not been established to improve prognostification and treatment of gastric cancer. Using microarray technologies, we analyzed gene expression profiling data from gastric cancer patients and uncovered potential prognostic subtypes and identify gene expression signature associated with prognosis and response to adjuvant chemotherapy. Primary gastric adenocarcinoma were used for microarray. All the tissues were obtained after curative resection after pathologic confirm Kosin University College of Medicine (Busan, Korea). Microarray experiment and data analysis were done at Department of Systems Biology, MDACC with DNA microarray (Illumina human V3).