Construction and validation of a prognostic model for clear cell renal cell carcinoma based on aging-related genes
10.12483/j.issn.1009-8291.2026.05.003
- VernacularTitle:基于衰老相关基因构建肾透明细胞癌预后模型及相关验证
- Author:
Yicheng YANG
1
;
Chaoyang ZHU
1
;
Jiaxin LI
1
;
Qingyang LUO
1
;
Yang LI
1
Author Information
1. Department of Urology, Huaihe Hospital, Henan University, Kaifeng 475000, China
- Publication Type:Journal Article
- Keywords:
clear cell renal cell carcinoma;
bioinformatics analysis;
prognostic model;
aging;
risk score
- From:
Journal of Modern Urology
2026;31(5):413-421
- CountryChina
- Language:Chinese
-
Abstract:
Objective To screen the aging-related genes associated with prognosis in clear cell renal cell carcinoma (ccRCC), construct a prognostic model to optimize risk stratification, explore the underlying mechanisms, and provide reference for individualized diagnosis and treatment of this disease.Methods RNA sequencing data, clinical data, and aging-related genes of ccRCC were obtained from databases.After differentially expressed genes were screened, a prognostic model was constructed using Cox regression.The performance of the model was evaluated with Kaplan-Meier curves and receiver operating characteristic (ROC) curves, and validated with clinical features.Key genes were verified with immunohistochemistry.Results A total of 70 differentially expressed genes were identified, including IFI16, PECAM1, and ABCB1 as key genes, and a model formula was constructed.Internal and external validations showed that the survival rate of the high-risk group was significantly lower, with the area under the ROC curve (AUC)＞0.6.The risk score was correlated with clinical features.IFI16 was highly expressed in cancer tissues and associated with poor prognosis.Conclusion The prognostic model constructed in this study has good performance.Integrating clinical features, it can improve the accuracy of prognosis assessment of ccRCC.
