Identification of New Therapeutic Targets for Gastric Cancer With Bioinformatics.

We aimed to identify new targets affecting gastric cancer (GC) prognosis. Six target genes were identified from hub genes based on their relationship with important factors affecting tumor progression, like immune infiltration, purity, tumor mutation burden (TMB), and tumor microenvironment (TME) score. The effect of target genes' somatic mutations and copy number alteration (CNA) was examined to determine their effect on GC prognosis. Six target genes (, , and ) were identified. Reduced expression of each target gene, except , indicated better prognosis and lower grade in GC. , and showed lower expression in stage I GC. Non-silencing mutations of the six genes played a role in significantly higher TMB and TME scores. mutation was associated with earlier stage GC, and mutation was associated with lower grade GC. However, patients with target gene CNA displayed higher tumor purity. , , and CNA was associated with lower grade GC, while CNA reflected earlier T stage. Additionally, the target genes may affect GC prognosis by influencing multiple oncogenic signaling pathways. , and may be new GC prognostic targets by affecting tumor purity, TMB, TME score, and multiple oncogenic signaling pathways.