A prognostic nomogram based on competing endogenous RNA network for clear-cell renal cell carcinoma.

ABSTRACT:

Background

Clear-cell renal cell carcinoma (ccRCC) is stubborn to traditional chemotherapy and radiation treatment, which makes its clinical management a major challenge. Recently, we have made efforts in understanding the etiology of ccRCC. Increasing evidence revealed that the competing endogenous RNA (ceRNA) was involved in the development of varied tumors. However, a comprehensive analysis of the prognostic model based on lncRNA-miRNA-mRNA ceRNA regulatory network of ccRCC with large-scale sample size and RNA-sequencing expression data is still limited.

Methods

RNA-sequencing expression data were taken out from GTEx database and TCGA database, a total of 354 samples with ccRCC and 157 normal controlled samples were included in our study. The ccRCC-specific genes were obt

SUBMITTER: Peng Y 

PROVIDER: S-EPMC8366097 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature