Identification of biomarkers and construction of a microRNA‑mRNA regulatory network for clear cell renal cell carcinoma using integrated bioinformatics analysis

PLoS One. 2021 Jan 12;16(1):e0244394. doi: 10.1371/journal.pone.0244394. eCollection 2021.

Abstract

With the recent research development, the importance of microRNAs (miRNAs) in renal clear cell carcinoma (CCRCC) has become widely known. The purpose of this study is to screen out the potential biomarkers of renal clear cell carcinoma (CCRCC) by microarray analysis. The miRNA chip (GSE16441) and mRNA chip (GSE66270) related to CCRCC were downloaded from the Gene Expression Omnibus (GEO) database. After data filtering and pretreating, R platform and a series of analysis tools (funrich3.1.3, string, Cytoscape_ 3.2.1, David, etc.) were used to analyze chip data and identify the specific and highly sensitive biomarkers. Finally, by constructing the miRNA -mRNA interaction network, it was determined that five miRNAs (hsa-mir-199a-5p, hsa-mir-199b-5p, hsa-mir-532-3p and hsa-mir-429) and two key genes (ETS1 and hapln1) are significantly related to the overall survival rate of patients.

MeSH terms

  • Biomarkers, Tumor / genetics*
  • Carcinoma, Renal Cell / genetics
  • Carcinoma, Renal Cell / mortality
  • Carcinoma, Renal Cell / pathology*
  • Computational Biology / methods*
  • Databases, Genetic
  • Gene Expression Regulation, Neoplastic
  • Gene Ontology
  • Gene Regulatory Networks*
  • Humans
  • Kidney Neoplasms / genetics
  • Kidney Neoplasms / mortality
  • Kidney Neoplasms / pathology*
  • MicroRNAs / metabolism
  • Protein Interaction Maps / genetics
  • RNA, Messenger / metabolism
  • Survival Analysis

Substances

  • Biomarkers, Tumor
  • MicroRNAs
  • RNA, Messenger

Grants and funding

The author(s) received no specific funding for this work.