岭南现代临床外科2024，Vol.24Issue(1)：26-36,11.DOI:10.3969/j.issn.1009-976X.2024.01.004
基于DNA损伤修复基因的膀胱癌预后风险模型构建及其在免疫治疗效果预测中的应用
Construction of a bladder cancer prognostic risk model based on DNA damage repair and its application in predicting the effectiveness of immunotherapy
摘要
Abstract
Objective This study aims to explore the construction of a risk model based on DNA Damage Repair Genes(DDRGs)that can accurately predict the survival prognosis and immunotherapy outcomes of bladder cancer patients.Methods Initially,RNA sequences and clinical information down-loaded from the TCGA-BLCA dataset were analyzed through univariate Cox,Least Absolute Shrinkage and Selection Operator(LASSO),and multivariate Cox analyses to identify DNA Damage Repair Genes(DDRGs)and construct a prognostic risk model.Subsequently,the Kaplan-Meier survival curve was utilized to assess survival differences,the Receiver Operating Characteristic(ROC)curve to validate model performance,and nomograms were constructed incorporating clinical features for further validation.Lastly,clinical features were subjected to stratified analysis,and the treatment effects of immune status and Immune Checkpoint Inhibitors(ICIs)were further evaluated through Gene Set Enrichment Analysis(GSEA).Results The risk model constructed with 11 DNA damage repair-related genes showed that bladder cancer patients with high-risk scores had significantly lower survival rates than those with low-risk scores.Conclusion The prognostic risk model constructed based on DNA damage repair in this study can effectively predict the survival prognosis of bladder cancer patients and their responsiveness to treatment with Immune Checkpoint Inhibitors(ICIs).关键词
膀胱癌/DNA损伤修复/预后模型/免疫治疗Key words
bladder cancer/DNA damage repair/prognostic model/immunotherapy分类
医药卫生引用本文复制引用
罗鸿程,张嘉豪,何朝辉..基于DNA损伤修复基因的膀胱癌预后风险模型构建及其在免疫治疗效果预测中的应用[J].岭南现代临床外科,2024,24(1):26-36,11.基金项目
国家重点研发计划(2018YFA0902801) （2018YFA0902801）
