Identification of Prognostic Metabolism-Related Genes in Clear Cell Renal Cell Carcinoma.

ABSTRACT:

Background

Clear cell renal cell carcinoma (ccRCC) is a cancer with abnormal metabolism. The purpose of this study was to investigate the effect of metabolism-related genes on the prognosis of ccRCC patients.

Methods

The data of ccRCC patients were downloaded from the TCGA and the GEO databases and clustered using the nonnegative matrix factorization method. The limma software package was used to analyze differences in gene expression. A random forest model was used to screen for important genes. A novel Riskscore model was established using multivariate regression. The model was evaluated based on the metabolic pathway, immune infiltration, immune checkpoint, and clinical characteristics.

Results

According to metabolism-related genes, kidney clear cell carcinoma (KIR

SUBMITTER: Chen Y 

PROVIDER: S-EPMC8490028 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature