Identification of novel prostate cancer drivers using RegNetDriver: A framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network Academic Article uri icon


MeSH Major

  • Mutation
  • Nuclear Proteins
  • Phosphatidylinositol 3-Kinases
  • Prostatic Neoplasms
  • Receptors, Androgen
  • Repressor Proteins
  • Signal Transduction
  • TOR Serine-Threonine Kinases


  • We report a novel computational method, RegNetDriver, to identify tumorigenic drivers using the combined effects of coding and non-coding single nucleotide variants, structural variants, and DNA methylation changes in the DNase I hypersensitivity based regulatory network. Integration of multi-omics data from 521 prostate tumor samples indicated a stronger regulatory impact of structural variants, as they affect more transcription factor hubs in the tissue-specific network. Moreover, crosstalk between transcription factor hub expression modulated by structural variants and methylation levels likely leads to the differential expression of target genes. We report known prostate tumor regulatory drivers and nominate novel transcription factors (ERF, CREB3L1, and POU2F2), which are supported by functional validation.

publication date

  • July 27, 2017



  • Academic Article



  • eng

PubMed Central ID

  • PMC5530464

Digital Object Identifier (DOI)

  • 10.1186/s13059-017-1266-3

PubMed ID

  • 28750683

Additional Document Info

start page

  • 141


  • 18


  • 1