Construction and evaluation of a prognostic model for clear cell renal cell carcinoma based on carbohydrate metabolism-related genes
10.12354/j.issn.1000-8179.2024.20240425
- VernacularTitle:基于糖代谢相关基因的肾透明细胞癌预后模型的构建与评价
- Author:
Duan SHUANGSHUANG
1
;
Gulinaizaier ABUDUSAIMAITI
;
Sun MIAO
;
Liu HUIBIN
Author Information
1. 新疆医科大学药学院(乌鲁木齐市 830000);新疆医科大学附属肿瘤医院药物临床试验机构
- Keywords:
clear cell renal cell carcinoma(ccRCC);
carbohydrate metabolism;
prognostic model
- From:
Chinese Journal of Clinical Oncology
2024;51(10):493-499
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish a carbohydrate metabolism-related genes(CRGs)prognostic model for clear cell renal cell carcinoma(ccRCC)and investigate its clinical value.Methods:ccRCC mRNA expression data were sourced from The Cancer Genome Atlas(TCGA)data-base.CRGs were retrieved from the MSigDB and KEGG databases.A prognostic model based on CRGs was constructed using the LASSO lin-ear regression model,and the risk score(RS)was calculated.Patients were assigned into high-and low-risk groups according to the median RS.Differences in survival,immune infiltration,mutation,and immune response between the two groups were analyzed using Kaplan-Meier curves and bioinformatics methods.Constructing a nomogram based on the RS and clinical features and validating its accuracy of prognostic predictions.The expression of CRGs in the ccRCC samples was detected using RT-qPCR.Results:A total of eight key genes were utilized to construct a prognostic risk model for ccRCC.Survival analysis revealed that patients in the low-risk group had a better prognosis(P<0.001).Bioinformatics analysis showed that the RS correlated with immune cell infiltration,mutation,and immune responses.The nomogram based on the RS and clinical features demonstrated a strong predictive ability for prognosis.In vitro experiments confirmed notable differences in the expression of the eight CRGs between ccRCC and adjacent non-malignant tissues.Conclusions:A prognostic model based on CRGs can effectively predict the prognosis of patients with ccRCC.
