3'UTR shortening identifies high-risk cancers with targeted dysregulation of the ceRNA network

Li Li1, Duolin Wang2, Mengzhu Xue1

  • 11] Key Laboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences [2].

Scientific Reports
|June 24, 2014
PubMed

Insights

This study reveals how alternative cleavage and polyadenylation (APA) alters competing endogenous RNA (ceRNA) networks in prostate cancer. Dysregulated ceRNA networks, driven by 3'UTR changes, are linked to higher relapse risk and oncogenic expression.

Area of Science:

  • Molecular Biology
  • Genomics
  • Cancer Research

Background:

  • Competing endogenous RNA (ceRNA) networks regulate gene expression through complex interactions.
  • While ceRNA roles in tumorigenesis are known, their dynamics in cancer remain unclear.
  • Alternative cleavage and polyadenylation (APA) significantly impacts gene expression regulation.

Purpose of the Study:

  • To investigate the dynamics of ceRNA networks in prostate cancer.
  • To explore the role of APA in ceRNA network dysregulation.
  • To identify principles governing ceRNA network changes in cancer and their link to relapse risk.

Main Methods:

  • Analysis of exon array data to identify 3'UTR alterations.
  • Consensus clustering using APA data to stratify prostate cancer patients.
  • Examination of microRNA response elements (MREs) and gene expression trends.

Main Results:

  • Abundance of both shortened and lengthened 3'UTRs observed.
  • APA data stratified cancers into distinct risk groups for biochemical relapse.
  • A specific ceRNA subnetwork enriched with cancer genes was dysregulated in high-risk cancers.
  • A strong correlation was found between 3'UTR shortening and ceRNA network dysregulation via shared MREs.
  • Dysregulation preferentially affected ceRNA interactions linking genes with opposing expression trends.

Conclusions:

  • APA-driven 3'UTR changes are a key mechanism for ceRNA network dysregulation in prostate cancer.
  • This targeted ceRNA dysregulation contributes to aberrant oncogenic expression and higher relapse risk.
  • Understanding these dynamics offers novel insights into cancer progression and potential therapeutic targets.