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 urgen...
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