title: Integrated analysis of microRNA-target interactions with clinical outcomes for cancers.
abstract: BACKGROUND
  Clinical statement alone is not enough to predict the progression of disease. Instead, the gene expression profiles have been widely used to forecast clinical outcomes. Many genes related to survival have been identified, and recently miRNA expression signatures predicting patient survival have been also investigated for several cancers. However, miRNAs and their target genes associated with clinical outcomes have remained largely unexplored.
  
  
  METHODS
  Here, we demonstrate a survival analysis based on the regulatory relationships of miRNAs and their target genes. The patient survivals for the two major cancers, ovarian cancer and glioblastoma multiforme (GBM), are investigated through the integrated analysis of miRNA-mRNA interaction pairs.
  
  
  RESULTS
  We found that there is a larger survival difference between two patient groups with an inversely correlated expression profile of miRNA and mRNA. It supports the idea that signatures of miRNAs and their targets related to cancer progression can be detected via this approach.
  
  
  CONCLUSIONS
  This integrated analysis can help to discover coordinated expression signatures of miRNAs and their target mRNAs that can be employed for therapeutics in human cancers.
authors: Je-Gun
authors: JG
authors: Joung
authors: Dokyoon
authors: D
authors: Kim
authors: Su Yeon
authors: SY
authors: Lee
authors: Hwa Jung
authors: HJ
authors: Kang
authors: Ju Han
authors: JH
authors: Kim
mesh_terms: D019295:Computational Biology / Q000379:methods*; D005260:Female; D005909:Glioblastoma / Q000175:diagnosis* / Q000235:genetics* / Q000628:therapy; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D010051:Ovarian Neoplasms / Q000175:diagnosis* / Q000235:genetics* / Q000628:therapy; D011379:Prognosis; D016019:Survival Analysis; D059467:Transcriptome
chemical_list: D035683:MicroRNAs