Molecular subtyping based on cuproptosis-related genes and prognostic characteristics of clear cell renal carcinoma
Objective To investigate the clinical effect of copper death related genes in clear cell renal cell carcinoma(ccRCC).Methods RNA expression data and clinical data of patients with ccRCC were downloaded from TCGA database,and the retrieval period was from the establishment of the database to 2022.The expression of 10 cuproptosis molecules was analyzed by Limma software package.Heat-maps and expression correlation maps were generated using Pheatmap and Corrplot soft-ware packages.The patient samples were randomly divided into the test group and the training group at a ratio of 5∶5.Cox regression annlysis was used to screen prognostic molecules,and the ccRCC sam-ples were divided into low risk and high risk groups according to the average risk score,and a series of further model validation was conducted to evaluate the prognostic value of this feature.Results In the TCGA cohort,9 genes were differentially-expressed between tumor tissues and normal tissues.After grouping,we screened 5 independent prognostic factors by Cox regression analysis.Finally,4 risk genes by constructing a prognostic model were further identified,of which CDKN2A,as the only high-risk gene,was worthy of further study,logistic regression analysis showed that the expression of CD-KN2A in ccRCC was significantly correlated with clinical stage and depth of tissue invasion(all P＜0.05).Finally,the gene was enriched by GSEA.Conclusions The cuproptosis related risk score model proposed in this paper has been proved to be helpful in predicting prognosis,expanding the range of potential therapeutic targets for ccRCC,and also providing great potential for revealing the new mechanism of cuproptosis in ccRCC.
万方数据
维普
