中国免疫学杂志2024，Vol.40Issue(3)：564-571,8.DOI:10.3969/j.issn.1000-484X.2024.03.021
膀胱癌共刺激因子相关基因预后模型的构建与验证
Construction and verification of prognostic model of bladder cancer costimu-latory molecule-related genes
摘要
Abstract
Objective:To explore genes related to costimulatory molecule related to the prognosis of bladder cancer,and to construct and evaluate prognosis model based on costimulatory molecule-based signature(CMS).Methods:Gene expression matrix and clinical information of bladder cancer patients were downloaded from TCGA database and GEO database(GSE31684),and costimulatory molecule-related genes were retrieved from the literature.The univariate and multivariate Cox analysis were used to screened prognostic-related genes and constructed prognostic model.Forecast accuracy of model was verified in TCGA training group,TCGA validation data group and GEO group by Kaplan-Meier survival analysis and receiver operating characteristic curve(ROC).Considering risk score and clinical characteristics,we constructed a nomogram and evaluated its performance by consistency analysis and ROC.CIBERSORT algorithm was used to analyze immune cell composition of tumor microenvironment infiltration,and gene set enrichment analysis(GSEA)was performed to explore the potential mechanism.Results:Four prognostic-related CMSs were found:TNFRSF14,CD276,ICOS and TMIGD2,of which three were included in the risk score construction.Multivariate Cox regression results showed that the risk score based on CMS was an independent prognostic factor for bladder cancer patients.Consistency analysis and ROC results showed that the nomogram had ideal prognosis prediction accuracy.Immune infiltration analysis showed that the high risk group was likely to be in immunosuppressive state.GSEA results suggested that genes in high risk group were enriched in extracel-lular matrix(ECM)receptors interaction,cell cycle and other pathways.Conclusion:TNFRSF14,CD276 and ICOS may be potential prognostic biomarkers for bladder cancer patients.CMS-based risk score and nomogram could contribute to early prognosis and choice of personalized treatment.关键词
共刺激因子/膀胱癌/预后模型/肿瘤免疫微环境Key words
Costimulatory factor/Bladder cancer/Prognostic model/Tumor immune microenvironment分类
医药卫生引用本文复制引用
汤鋕城,何朝辉,蔡月桥,廖海琴,卢泽潮,唐福才,卢泽广,张嘉豪,赖永长,阎淑丹..膀胱癌共刺激因子相关基因预后模型的构建与验证[J].中国免疫学杂志,2024,40(3):564-571,8.基金项目
国家重点研发计划项目(2018YFA0902801) （2018YFA0902801）
广东省基础与应用基础研究计划项目(2020A1515010152) （2020A1515010152）
深圳市福田区公共卫生研究计划项目(FTWS2020026) （FTWS2020026）
广东省大学生创新训练项目(S2021057025). （S2021057025）
