Systematic Identification of Key Functional Modules and Genes in Gastric Cancer.

Gastric cancer (GC) is associated with high incidence and mortality rates worldwide. Differentially expressed gene (DEG) analysis and weighted gene coexpression network analysis (WGCNA) are important bioinformatic methods for screening core genes. In our study, DEG analysis and WGCNA were combined to screen the hub genes, and pathway enrichment analyses were performed on the DEGs. was identified as the hub gene based on the intersection between the DEGs and the purple module in WGCNA. The expression and prognostic value of were verified in UALCAN, GEPIA2, Human Cancer Metastasis Database, Kaplan-Meier plotter, and TIMER. We identified 1974 DEGs, and 28 modules were uncovered via WGCNA. The purple module was identified as the hub module in WGCNA. was identified as the hub gene, which was upregulated in tumour tissues. Moreover, patients with GC and higher expression had worse prognoses. In addition, was suggested to play an important role in immune cell infiltration. In summary, based on DEGs and key modules related to GC, we identified as a hub gene, thereby offering novel insights into the development and treatment of GC.