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ABSTRACT: Background
Gastric cancer (GC) is one of the most common types of malignancy and is associated with high morbidity and mortality rates around the world. With poor clinical outcomes, potential biomarkers for diagnosis and prognosis are important to investigate.Objective
The aim of this study is to investigate the gene expression module of GC and to identify potential diagnostic and prognostic biomarkers.Method
Microarray data (GSE13911, GSE29272, GSE54129, and GSE79973), including 293 stomach tumor tissues and 196 normal tissues, were analyzed to identify differentially expressed genes (DEGs). DEGs were identified in four profiles by intersecting four overlapping subsets, including 90 downregulated and 45 upregulated DEGs in common. Gene ontology (GO) and Kyoto Encyc
SUBMITTER: Liao P
PROVIDER: S-EPMC6199229 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature