Construction and Validation of Protein Expression-related Prognostic Models in Clear Cell Renal Cell Carcinoma.

ABSTRACT: Objective: To construct a prognostic evaluation model for clear cell renal cell carcinoma (ccRCC) patients using bioinformatics method and to screen potential drugs for ccRCC. Methods: ccRCC RNA sequencing data, clinical data, and protein expression data were downloaded from the TCGA database. Univariate Cox and Lasso regression analyses were performed on the combined data to screen out the proteins related to the prognosis, and they were included in a multivariate Cox proportional hazard model. The patients were divided into high and low-risk groups for a survival difference analysis. The predictive power of the model was evaluated on the basis of overall survival, progression-free survival, independent prognostic, clinically relevant receiver operating characteristic

SUBMITTER: Ma X 

PROVIDER: S-EPMC10088890 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature