Long noncoding RNA profiles identify five distinct molecular subtypes of colorectal cancer with clinical relevance

Haoyan Chen*, Jie Xu, Jie Hong, Ruqi Tang, Xi Zhang, Jing Yuan Fang

*Corresponding author for this work

Research output: Contribution to journalArticle

39 Scopus citations

Abstract

Colorectal cancer (CRC) is a heterogeneous disease in terms of clinical behavior and response to therapy. Increasing evidence suggests that long noncoding RNAs (lncRNAs) are frequently aberrantly expressed in cancers, and some of them have been implicated in CRC biogenesis and prognosis. Using an lncRNA-mining approach, we constructed lncRNAs expression profiles in approximately 888 CRC samples. By applying unsupervised consensus clustering to LncRNA expression profiles, we identified five distinct molecular subtypes of CRC with different biological pathways and phenotypically distinct in their clinical outcome in both univariate and multivariate analysis. The prognostic significance of the lncRNA-based classifier was confirmed in independent patient cohorts. Further analysis revealed that most of the signature lncRNAs positively correlated with somatic copy number alterations (SCNAs). This lncRNAs-based classification schema thus provides a molecular classification applicable to individual tumors that has implications to influence treatment decisions.

Original languageEnglish (US)
Pages (from-to)1393-1403
Number of pages11
JournalMolecular oncology
Volume8
Issue number8
DOIs
StatePublished - Dec 1 2014

Keywords

  • Colorectal cancer
  • Consensus clustering
  • Gene expression profiling
  • Gene set enrichment analysis
  • LncRNA
  • Somatic copy number alterations
  • Survival

ASJC Scopus subject areas

  • Cancer Research
  • Genetics
  • Molecular Medicine

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