中国肿瘤生物治疗杂志2025，Vol.32Issue(9)：948-956,9.DOI:10.3872/j.issn.1007-385x.2025.09.008
基于CD8+T细胞耗竭基因集的预后模型构建及肿瘤免疫微环境研究
Construction of a prognostic model based on CD8+T cell exhaustion-related gene set and investigation of the tumor immune microenvironment
摘要
Abstract
Objective:To construct a prognostic model across multiple cancer types based on exhausted T cell(Tex)gene sets and to identify novel Tex cell markers.Methods:A pan-cancer single-cell dataset of CD8+T cells was utilized to identify the pan-cancer Tex gene set.Differential expression analysis and Cox regression analysis of TCGA data were performed to screen pan-cancer prognostic genes.These genes were then intersected with the Tex gene set,yielding a pan-cancer Tex prognostic gene set.Cox regression analysis was used to construct a pan-cancer prognostic model,and the model's performance was evaluated using Kaplan-Meier survival curve and receiver operating characteristic(ROC)curve analyses.In addition,correlation analysis was further applied to explore the role of TNFRSF18 in immunotherapy.Results:Cox regression analysis identified CXCL13,CDKN2A,TNFRSF18,and IL2RA as key prognostic genes,on which the prognostic model was constructed.Survival analysis showed that patients in the low-risk group exhibited significantly higher survival rates across various cancer types(P<0.05).Single-cell data analysis demonstrated that TNFRSF18 was specifically expressed in Tex cells and was significantly upregulated in tumor samples from various cancers(P<0.05).Conclusion:The pan-cancer Tex cell-based prognostic model showed robust predictive performance across various cancers.TNFRSF18 may function as a novel potential biomarker of Tex cells and play a role in cancer immunotherapy.关键词
肿瘤/耗竭T细胞/预后模型/生物标志物Key words
cancer/exhausted T cell(Tex)/prognostic model/biomarker分类
医药卫生引用本文复制引用
李梦柔,陈东升,刘合宾..基于CD8+T细胞耗竭基因集的预后模型构建及肿瘤免疫微环境研究[J].中国肿瘤生物治疗杂志,2025,32(9):948-956,9.基金项目
江苏省自然基金项目(No.BK20220279) （No.BK20220279）
姑苏创新创业领军人才计划(No.ZXL2022475) （No.ZXL2022475）
