A five-gene signature predicts overall survival of patients with papillary renal cell carcinoma.

ABSTRACT: BACKGROUND:The present study aims to investigate the gene expression changes in papillary renal cell carcinoma(pRCC) and screen several genes and associated pathways of papillary renal cell carcinoma progression. METHODS:The papillary renal cell carcinoma RNA sequencing (RNA-seq) data set was downloaded from TCGA (The Cancer Genome Atlas). We identified the differentially expressed mRNAs between cancer and normal tissues and performed annotation of differentially expressed mRNAs to figure out the functions and pathways they were enriched in. Then, we constructed a risk score that relied on the 5-mRNA. The optimal value for the patients'classification risk level was identified by ROC analysis. The relationship between mRNA expression and prognosis of papillary renal cell carcinoma was evalu

SUBMITTER: Gao Z 

PROVIDER: S-EPMC6396926 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature