本研究旨在确定预后特征来预测胃腺癌（STAD）患者的预后，这对于改善不良预后并为 STAD 患者提供可能的治疗策略是必要的。通过加权筛选的关键模型基因之间的重叠基因基因共表达网络分析（WGCNA），提取正常组织和肿瘤组织中表达量有显着差异的差异表达基因（DEG）作为共表达基因。然后，对这些基因进行富集分析。此外，进行最小绝对收缩和选择算子（LASSO）回归以筛选重叠基因中的中心基因。最后，我们构建了一个模型来探讨多基因风险评分对 STAD 患者生存概率的影响，并进行了交互作用和中介分析。DEG 包括 2,899 个上调基因和 2,896 个下调基因。将WGCNA获得的DEG与浅黄色模块基因进行杂交后，共提取出39个重叠基因。基因富集分析显示，这些基因在朊病毒疾病、不饱和脂肪酸生物合成、RNA代谢过程、水解酶活性等方面富集。LASSO-Cox测定PIP5K1P1、PTTG3P和SNORD15B。建立了三基因预后预测模型。 Cox回归分析显示，3个基因的综合风险评分是独立的预后因素。PIP5K1P1、PTTG3P、SNORD15B与患者的预后和总生存期相关。构建的三基因风险模型对STAD具有独立的预后预测能力。Copyright © 2024 Huang, Ran and Wang.

This study aimed to identify prognostic signatures to predict the prognosis of patients with stomach adenocarcinoma (STAD), which is necessary to improve poor prognosis and offer possible treatment strategies for STAD patients.The overlapping genes between the key model genes that were screened by the weighted gene co-expression network analysis (WGCNA) and differentially expressed genes (DEGs) whose expression was different with significance between normal and tumor tissues were extracted to serve as co-expression genes. Then, enrichment analysis was performed on these genes. Furthermore, the least absolute shrinkage and selection operator (LASSO) regression was performed to screen the hub genes among overlapping genes. Finally, we constructed a model to explore the influence of polygenic risk scores on the survival probability of patients with STAD, and interaction effect and mediating analyses were also performed.DEGs included 2,899 upregulated genes and 2,896 downregulated genes. After crossing the DEGs and light-yellow module genes that were obtained by WGCNA, a total of 39 overlapping genes were extracted. The gene enrichment analysis revealed that these genes were enriched in the prion diseases, biosynthesis of unsaturated fatty acids, RNA metabolic process, hydrolase activity, etc. PIP5K1P1, PTTG3P, and SNORD15B were determined by LASSO-Cox. The prognostic prediction of the three-gene model was established. The Cox regression analysis showed that the comprehensive risk score for three genes was an independent prognosis factor.PIP5K1P1, PTTG3P, and SNORD15B are related to the prognosis and overall survival of patients. The three-gene risk model constructed has independent prognosis predictive ability for STAD.Copyright © 2024 Huang, Ran and Wang.