中国现代医生2025，Vol.63Issue(14)：1-5,5.DOI:10.3969/j.issn.1673-9701.2025.14.001
肺腺癌预后相关基因筛选及预测模型构建
Screening prognosis-related genes and predictive model constructing for lung adenocarcinoma
摘要
Abstract
Objective To explore the prognosis-related genes of lung adenocarcinoma(LUAD)and establish a prognostic prediction model for LUAD.Methods The differentially expressed genes of LUAD tissues and adjacent normal tissues in the GSE43458,GSE7670,and GSE140797 datasets were screened.The protein-protein interaction(PPI)network analysis,gene ontology(GO)function,Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analyses,least absolute shrinkage and selection operator for prognosis coefficient screening,disease-specific survival analysis,Cox regression analysis,and gene correlation analysis were performed.Independent prognostic genes of LUAD were screened from the differential genes,and a prognostic prediction model of LUAD was established.The expression of independent prognostic genes was analyzed,and the predictive model was evaluated by receiver operating characteristic(ROC)curve.The GSE68465 data set was used as an external validation set to verify the predictive model.Results There were 197 up-regulated differential genes and 77 down-regulated differential genes in LUAD and adjacent normal tissues common to the three datasets.Through stepwise screening,two genes,IL7R and SLC2A1,were identified as independent prognostic factors for LUAD.IL7R was an independent protective factor,while the SLC2A1 was an independent risk factor.A prediction model for curve was built with IL7R and SLC2A1.The prediction model for LUAD constructed with IL7R and SLC2A1 is as follows:Risk score=(-0.694)×expression level of IL7R+0.763×expression level of SLC2A1.Conclusion This study screened out IL7R as an independent prognostic protective factor for LUDA,and SLC2A1 as an independent prognostic risk factor for LUAD.The LUDA prediction model constructed based on these two genes has good predictive ability and generalization ability,which can provide references for the research and clinical individualized treatment of LUAD.关键词
肺腺癌/预后/基因/预测模型Key words
Lung adenocarcinoma/Prognosis/Genes/Prediction model分类
临床医学引用本文复制引用
张芷欣,付蕾,王梦雪,邹翼,文立焱,肖勃..肺腺癌预后相关基因筛选及预测模型构建[J].中国现代医生,2025,63(14):1-5,5.基金项目
贵州省科技计划项目(黔科合基础-[2024]青年231) （黔科合基础-[2024]青年231）
