Four microRNAs Signature for Survival Prognosis in Colon Cancer using TCGA Data

Sci Rep. 2016 Dec 15:6:38306. doi: 10.1038/srep38306.

Abstract

This study aims to develop microRNA expression signature for colon cancer survival prognosis based on the Cancer Genomic Common database. miRNAs levels between colon cancer and non-cancer tissues were screened by t-test (p < 0.05). Kaplan-Meier survival method was used to discriminate survival significant miRNAs, followed by miRNAs index accumulation to power the miRNAs-survival reliability. In the end, we test the selected miRNAs in HT126 colon cancer cells to validate its anti-cancer effect. The study identified a 84-miRNAs signature. Of the above 84 miRNAs, we got four miRNAs which were survival associated by using ROC curve method and Kaplan-Meier survival method (p < 0.001). The result showed that low risk group had quite a low death rate, the survival rate was over 80%. The high risk group had survival rate lower than 20%, which was also extremely lower than the overall survival rate. In the HT126 cells study, cell growth assay showed miR-130a sponge inhibited colon cancer cells growth and sensitized the anti-cancer drug effect of 5-FU to blocked cancer cell growth. We developed a prognostic 4-microRNA expression signature for colon cancer patient survival, and validated miR-130a sponge could sensitized 5-FU anti-cancer effect.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism*
  • Case-Control Studies
  • Cell Line, Tumor
  • Colonic Neoplasms / genetics
  • Colonic Neoplasms / metabolism*
  • Colonic Neoplasms / mortality
  • Female
  • Gene Expression
  • Gene Ontology
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • MicroRNAs / genetics
  • MicroRNAs / metabolism*
  • Middle Aged
  • Molecular Sequence Annotation
  • Prognosis
  • ROC Curve
  • Risk Factors
  • Transcriptome
  • Young Adult

Substances

  • Biomarkers, Tumor
  • MicroRNAs