A novel amino acid metabolism-related gene risk signature for predicting prognosis in clear cell renal cell carcinoma.

ABSTRACT:

Background

Renal cancer is one of the most lethal cancers because of its atypical symptoms and metastatic potential. The metabolism of amino acids and their derivatives is essential for cancer cell survival and proliferation. Thus, the construction of the amino acid metabolism-related risk signature might enhance the accuracy of the prognostic model and shed light on the treatments of renal cancers.

Methods

RNA expression and clinical data were downloaded from Santa Cruz (UCSC) Xena, GEO, and ArrayExpress databases. The "DESeq2" package identified the differentially expressed genes. Univariate COX analysis selected prognostic genes related to the metabolism of amino acids. Patients were divided into two clusters using the "ConsensusClusterPlus" package, and the CIBERSORT, ES

SUBMITTER: Su J 

PROVIDER: S-EPMC9614380 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature