Competing Endogenous RNA Network Crosstalk Reveals Novel Molecular Markers in Colorectal Cancer

J Cell Biochem. 2018 Aug;119(8):6869-6881. doi: 10.1002/jcb.26884. Epub 2018 May 8.

Abstract

The competing endogenous RNA networks play a pivotal role in cancer diagnosis and progression. Novel properstrategies for early detection of colorectal cancer (CRC) are strongly needed. We investigated a novel CRC-specific RNA-based integrated competing endogenous network composed of lethal3 malignant brain tumor like1 (L3MBTL1) gene, long non-coding intergenic RNA- (lncRNA RP11-909B2.1) and homo sapiens microRNA-595 (hsa-miRNA-595) using in silico data analysis. RT-qPCR-based validation of the network was achieved in serum of 70 patients with CRC, 40 patients with benign colorectal neoplasm, and 20 healthy controls. Moreover, in cancer tissues of 20 of the 70 CRC cases were involved in the study. The expression of RNA-based biomarker network in both CRC and adjacent non-tumor tissues and their correlation with the serum levels of this network members was investigated. Lastly, the expression levels of the chosen ceRNA was verified in CRC cell line. Our results revealed that the three RNAs-based biomarker network (long non-coding intergenic RNA-[lncRNA RP11-909B2.1], Homo sapiens microRNA-595 [hsa-miRNA-595], and L3MBTL1 mRNA), had high sensitivity and specificity for discriminating CRC from healthy controls and also from benign colorectal neoplasm. The data suggest that among these three RNAs, serum lncRNA RP11-909B2.1 could be a promising independent prognostic factors in CRC. The circulatory RNA based biomarker panel can act as potential biomarker for CRC diagnosis and prognosis.

Keywords: bioinformatics; colorectal cancer; competing endogenous RNA; diagnosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Biomarkers, Tumor / biosynthesis*
  • Biomarkers, Tumor / genetics
  • Cell Line, Tumor
  • Colorectal Neoplasms / genetics
  • Colorectal Neoplasms / metabolism*
  • Computer Simulation
  • Female
  • Humans
  • Male
  • Middle Aged
  • RNA, Neoplasm / biosynthesis*
  • RNA, Neoplasm / genetics
  • RNA, Untranslated / biosynthesis*
  • RNA, Untranslated / genetics

Substances

  • Biomarkers, Tumor
  • RNA, Neoplasm
  • RNA, Untranslated