Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis.

ABSTRACT:

Aim

Gastric cancer (GC) is one of the most diagnosed cancers worldwide. GC is a heterogeneous disease whose pathogenesis has not been entirely understood. Besides, the GC prognosis for patients remains poor. Hence, finding reliable biomarkers and therapeutic targets for GC patients is urgently needed.

Methods

GSE54129 and GSE26942 datasets were downloaded from Gene Expression Omnibus (GEO) database to detect differentially expressed genes (DEGs). Then, gene set enrichment analyses and protein-protein interactions were investigated. Afterward, ten hub genes were identified from the constructed network of DEGs. Then, the expression of hub genes in GC was validated. Performing survival analysis, the prognostic value of each hub gene in GC samples was investigated. Finally, the

SUBMITTER: Abdolahi F 

PROVIDER: S-EPMC10690994 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature