Prognostic Gene Expression-Based Signature in Clear-Cell Renal Cell Carcinoma.

ABSTRACT: The inaccuracy of the current prognostic algorithms and the potential changes in the therapeutic management of localized ccRCC demands the development of an improved prognostic model for these patients. To this end, we analyzed whole-transcriptome profiling of 26 tissue samples from progressive and non-progressive ccRCCs using Illumina Hi-seq 4000. Differentially expressed genes (DEG) were intersected with the RNA-sequencing data from the TCGA. The overlapping genes were used for further analysis. A total of 132 genes were found to be prognosis-related genes. LASSO regression enabled the development of the best prognostic six-gene panel. Cox regression analyses were performed to identify independent clinical prognostic parameters to construct a combined nomogram which includes the expressi

SUBMITTER: Roldan FL 

PROVIDER: S-EPMC9367562 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature