Table_10_Identification of Potential Key Genes Associated With the Pathogenesis and Prognosis of Gastric Cancer Based on Integrated Bioinformatics Analysis.XLSX

Background and Objective: Despite striking advances in multimodality management, gastric cancer (GC) remains the third cause of cancer mortality globally and identifying novel diagnostic and prognostic biomarkers is urgently demanded. The study aimed to identify potential key genes associated with the pathogenesis and prognosis of GC.Methods: Differentially expressed genes between GC and normal gastric tissue samples were screened by an integrated analysis of multiple gene expression profile datasets. Key genes related to the pathogenesis and prognosis of GC were identified by employing protein–protein interaction network and Cox proportional hazards model analyses.Results: We identified nine hub genes (TOP2A, COL1A1, COL1A2, NDC80, COL3A1, CDKN3, CEP55, TPX2, and TIMP1) which might be tightly correlated with the pathogenesis of GC. A prognostic gene signature consisted of CST2, AADAC, SERPINE1, COL8A1, SMPD3, ASPN, ITGBL1, MAP7D2, and PLEKHS1 was constructed with a good performance in predicting overall survivals.Conclusion: The findings of this study would provide some directive significance for further investigating the diagnostic and prognostic biomarkers to facilitate the molecular targeting therapy of GC.

背景与目标：尽管在多模态管理方面取得了显著进展，但胃癌（GC）在全球范围内仍然是癌症死亡的主要原因之一。迫切需要识别新的诊断和预后生物标志物。本研究旨在鉴定与胃癌发病机制和预后相关的潜在关键基因。方法：通过整合多个基因表达谱数据集，筛选出胃癌与正常胃组织样本之间的差异表达基因。采用蛋白质-蛋白质相互作用网络和Cox比例风险模型分析，鉴定与胃癌发病机制和预后相关的关键基因。结果：我们鉴定出九个枢纽基因（TOP2A、COL1A1、COL1A2、NDC80、COL3A1、CDKN3、CEP55、TPX2和TIMP1），这些基因可能与胃癌的发病机制密切相关。构建了一个预后基因特征，包括CST2、AADAC、SERPINE1、COL8A1、SMPD3、ASPN、ITGBL1、MAP7D2和PLEKHS1，其在预测总生存率方面表现出良好的性能。结论：本研究的结果将为进一步研究胃癌的诊断和预后生物标志物提供一定的指导意义，从而促进胃癌的分子靶向治疗。