安徽医科大学学报2025，Vol.60Issue(11)：1985-1995,11.DOI:10.19405/j.cnki.issn1000-1492.2025.11.001
丙烯醛相关基因的肺癌预后预测模型
Construction of a prognostic model for lung cancer based on acrolein-related genes
摘要
Abstract
Objective To construct and validate a prognostic model for lung cancer based on acrolein-related genes using bioinformatics methods.Methods Lung cancer datasets GSE30219 and GSE68465 were obtained from the GEO database,and acrolein-related gene sets were retrieved from the CTD database.Differentially expressed genes(DEGs)between cancer and adjacent tissues were identified in the GSE30219 dataset.The intersection of these DEGs and acrolein-related genes was then used to identify candidate genes.Gene set variation analysis(GSVA)was performed to assess functional alterations based on the intersection genes.A protein-protein interaction(PPI)network was constructed based on the STRING database to identify core hub genes.Subsequently,support vector machine recursive feature elimination(SVM-RFE)and LASSO-Cox regression analyses were employed to develop a prognostic model based on acrolein-related genes,which was independently validated using the GSE68465 dataset.The CIBERSORT algorithm was applied to evaluate the immune cell infiltration characteristics between high-and low-risk groups,and functional enrichment analysis of DEGs between the two groups was conducted to further ex-plore the potential molecular mechanisms underlying the prognostic model.Results A total of 361 acrolein-related DEGs were identified in lung cancer,and 7 key genes were selected for model construction.Kaplan-Meier survival analysis revealed that patients in the high-risk group had significantly lower survival rates compared to those in the low-risk group(P＜0.000 1).Receiver operating characteristic(ROC)curve analysis demonstrated that the mod-el possessed good predictive performance.Moreover,immune infiltration analysis indicated that the risk score was closely associated with multiple immune cell subsets,suggesting a potential role of acrolein-related genes in modula-ting the lung cancer immune microenvironment.Conclusion The prognostic model for lung cancer based on acro-lein-related genes demonstrates significant application value in predicting the prognosis of lung cancer,providing new insights into the potential mechanisms of acrolein in the onset and progression of lung cancer.关键词
丙烯醛/肺癌/环境污染物/生物信息学/机器学习/预后模型Key words
acrolein/lung cancer/environmental pollutants/bioinformatics/machine learning/prognostic model分类
医药卫生引用本文复制引用
冯祎婷,任亮亮,娄丽娟,沈玉先,姜颖..丙烯醛相关基因的肺癌预后预测模型[J].安徽医科大学学报,2025,60(11):1985-1995,11.基金项目
国家重点研发计划项目(编号:2020YFE0202200) National Key Research and Development Program of China(No.2020YFE0202200) （编号:2020YFE0202200）
