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Dataset Information

Systematic identification of key genes and pathways in clear cell renal cell carcinoma on bioinformatics analysis.


ABSTRACT:

Background

Clear cell renal cell carcinoma (ccRCC) is the most common subtype of adult renal neoplasm and has a poor prognosis owing to a limited understanding of the disease mechanisms. The aim of this study was to explore and identify the key genes and signaling pathways in ccRCC.

Methods

The GSE36895 gene expression profiles were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were then screened using software packages in R. After Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, a protein-protein interaction (PPI) network of DEGs was constructed with Cytoscape software, and submodules were subsequently analyzed using the MCODE plug-in.

Results

Twenty-nine ccRCC samples and 23 normal s

SUBMITTER: Tian ZH 

PROVIDER: S-EPMC6462636 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature