胃癌中铜死亡相关预后模型的构建及验证

Construction and validation of a prognostic model related to cuproptosis in gastric cancer

目的综合运用生物信息学方法进行胃癌铜死亡相关预后模型的构建。方法从癌症基因组图谱(TCGA)数据库下载胃癌患者mRNA表达数据和临床信息。利用R语言进行免疫浸润分析、WGCNA分析、Cox回归以及Lasso回归构建预后模型,并探究模型基因的差异表达情况。通过受试者特征曲线(ROC)曲线、生存分析、C-index曲线、独立预后分析,分析预后模型的预后价值。对高、低风险组进行免疫功能分析、GSEA富集分析,分析预后模型的潜在功能。结果共得到139个与初始B细胞相关的铜死亡共表达基因。通过Cox回归和Lasso回归,筛选出6个预后相关的基因(DSE、GASK1B、GCSH、PLXNC1、PAMP2、TLR7)进行预后模型的构建。预后模型在胃癌患者的1年、3年、5年的预后情况中具有较高的预测价值。高风险组在胃癌患者中显示出较差的总生存期。C-index曲线、独立预后分析均显示预后模型具有较好的预后预测价值及独立的预测价值。并且高风险组在多个免疫功能中与低风险组均存在显著差异。结论筛选出的6个初始B细胞相关的铜死亡共表达基因,以其构建的胃癌预后模型具有良好的预后预测价值。

Objective To construct a prognostic model for gastric cancer associated with cuproptosis through the integrated application of bioinformatics methods.Methods mRNA expression data and clinical information for gastric cancer patients were downloaded from the Cancer Genome Atlas(TCGA)database.The R language was utilized for immune infiltration analysis,Weighted Gene Co-expression Network Analysis(WGCNA),Cox regression,and Lasso regression to construct the prognostic model.Additionally,the differential expression of model genes was explored.The prognostic value of the model was assessed through Receiver Operating Characteristic(ROC)curves,survival analysis,C-index curves,and independent prognostic analysis.Immune function analysis and Gene Set Enrichment Analysis(GSEA)were conducted on high-risk and low-risk groups to investigate the potential functions of the prognostic model.Results A total of 139 cuproptosis co-expression genes associated with initial B cells were identified.Through Cox regression and Lasso regression,six prognosis-related genes(DSE,GASK1B,GCSH,PLXNC1,PAMP2,TLR7)were selected for the construction of the prognostic model.The prognostic model demonstrated high predictive value for the 1-year,3-year,and 5-year prognosis of gastric cancer patients.Patients in the high-risk group exhibited poorer overall survival compared to those in the low-risk group.Both the C-index curve and independent prognostic analysis indicated that the prognostic model possessed good prognostic predictive value and independent predictive value.Furthermore,significant differences in multiple immune functions were observed between the high-risk and low-risk groups.Conclusion The prognostic model for gastric cancer constructed based on the six selected cuproptosis co-expression genes associated with initial B cells and exhibits good predictive value for prognosis.