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

Abstract excerpt

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...

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