Identification of a nine-gene prognostic signature for gastric carcinoma using integrated bioinformatics analyses

Abstract excerpt

BACKGROUND: Gastric carcinoma (GC) is one of the most aggressive primary digestive cancers. It has unsatisfactory therapeutic outcomes and is difficult to diagnose early. AIM: To identify prognostic biomarkers for GC patients using comprehensive bioinformatics analyses. METHODS: Differentially expressed genes (DEGs) were screened using gene expression data from The Cancer Genome Atlas and Gene Expression Omnibus...

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