Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer.

ABSTRACT:

Background

Gastric cancer (GC) is one of the most common malignant tumors with poor prognosis in terms of advanced stage. However, the survival-associated biomarkers for GC remains unclear.

Aim

To investigate the potential biomarkers of the prognosis of patients with GC, so as to provide new methods and strategies for the treatment of GC.

Methods

RNA sequencing data from The Cancer Genome Atlas (TCGA) database of STAD tumors, and microarray data from Gene Expression Omnibus (GEO) database (GSE19826, GSE79973 and GSE29998) were obtained. The differentially expressed genes (DEGs) between GC patients and health people were picked out using R software (x64 4.1.3). The intersections were underwent between the above obtained co-expression of differential genes (co-DEGs) and

SUBMITTER: Yin LK 

PROVIDER: S-EPMC10424043 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature