ce-Subpathway: Identification of ceRNA-mediated subpathways via joint power of ceRNAs and pathway topologies

J Cell Mol Med. 2019 Feb;23(2):967-984. doi: 10.1111/jcmm.13997. Epub 2018 Nov 12.


Competing endogenous RNAs (ceRNAs) represent a novel mechanism of gene regulation that may mediate key subpathway regions and contribute to the altered activities of pathways. However, the classical methods used to identify pathways fail to specifically consider ceRNAs within the pathways and key regions impacted by them. We proposed a powerful strategy named ce-Subpathway for the identification of ceRNA-mediated functional subpathways. It provided an effective level of pathway analysis via integrating ceRNAs, differentially expressed (DE) genes and their key regions within the given pathways. We respectively analysed one pulmonary arterial hypertension (PAH) and one myocardial infarction (MI) data sets and demonstrated that ce-Subpathway could identify many subpathways whose corresponding entire pathways were ignored by those non-ceRNA-mediated pathway identification methods. And these pathways have been well reported to be associated with PAH/MI-related cardiovascular diseases. Further evidence showed reliability of ceRNA interactions and robustness/reproducibility of the ce-Subpathway strategy by several data sets of different cancers, including breast cancer, oesophageal cancer and colon cancer. Survival analysis was finally applied to illustrate the clinical application value of the ceRNA-mediated functional subpathways using another data sets of pancreatic cancer. Comprehensive analyses have shown the power of a joint ceRNAs/DE genes and subpathway strategy based on their topologies.

Keywords: ceRNAs; differentially expressed genes; subpathways; topological property.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Gene Expression Regulation, Neoplastic / genetics
  • Humans
  • Myocardial Infarction / genetics
  • Neoplasms / genetics
  • Pulmonary Arterial Hypertension / genetics
  • RNA / genetics*
  • Reproducibility of Results
  • Signal Transduction / genetics*


  • RNA