Construction of ceRNA Coexpression Network and Screening of Molecular Targets in Colorectal Cancer

Dis Markers. 2020 Apr 21:2020:2860582. doi: 10.1155/2020/2860582. eCollection 2020.

Abstract

Objective: To screen some RNAs that correlated with colorectal cancer (CRC).

Methods: Differentially expressed miRNAs, lncRNAs, and mRNAs between cancer tissues and normal tissues in CRC were identified using data from the Gene Expression Omnibus (GEO) database. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and protein-protein interactions (PPIs) were performed to do the functional enrichment analysis. And a lncRNA-miRNA-mRNA network was constructed which correlated with CRC. RNAs in this network were subjected to analyze the relationship with the patient prognosis.

Results: A total of 688, 241, and 103 differentially expressed genes (diff-mRNA), diff-lncRNA, and diff-miRNA were obtained between cancer tissues and normal tissues. A total of 315 edges were obtained in the ceRNA network. lncRNA RP11-108K3.2 and mRNA ONECUT2 correlated with prognosis.

Conclusion: The identified RNAs and constructed ceRNA network could provide great sources for the researches of therapy of the CRC. And the lncRNA RP11-108K3.2 and mRNA ONECUT2 may serve as a novel prognostic predictor of CRC.

MeSH terms

  • Colorectal Neoplasms / genetics*
  • Colorectal Neoplasms / metabolism
  • Gene Expression Regulation, Neoplastic
  • Gene Regulatory Networks*
  • Humans
  • MicroRNAs / genetics*
  • MicroRNAs / metabolism
  • Protein Interaction Maps*
  • RNA, Long Noncoding / genetics*
  • RNA, Long Noncoding / metabolism
  • RNA, Messenger / genetics
  • RNA, Messenger / metabolism

Substances

  • MicroRNAs
  • RNA, Long Noncoding
  • RNA, Messenger