• DocumentCode
    260308
  • Title

    miRNA Based Pathway Analysis Tool in Nephroblastoma as a Proof of Principle for other Cancer Domains

  • Author

    Koumakis, L. ; Potamias, G. ; Sfakianakis, S. ; Moustakis, V. ; Zervakis, M. ; Graf, N. ; Tsiknakis, M.

  • Author_Institution
    Inst. of Comput. Sci. (ICS), Found. for Res. & Technol.-Hellas (FORTH), Heraklion, Greece
  • fYear
    2014
  • fDate
    10-12 Nov. 2014
  • Firstpage
    179
  • Lastpage
    184
  • Abstract
    Wilms tumor, or nephroblastoma, is a cancer of the kidneys that typically occurs in children and rarely in adults. Around 10% of Wilms tumor patients are diagnosed having a concurrent syndrome that enhances the risk of Wilms tumor. A screening method for early detection of Wilms tumor in these patients would be beneficial, since the size or stage of a tumor is related to outcome. We introduce a miRNA pathway analysis methodology that takes into account the topology and regulation mechanisms of the gene regulatory networks and identify disrupted sub-paths in known pathways, using miRNA- expressions. The methodology was applied on a miRNA-expression study and a predictive model was developed, using machine-learning (decision-tree induction) approaches. The model is able to identify putative mechanisms that underlie and govern the Wilms tumor phenotype, and discriminate between diseased and healthy subjects. Initial experimental results are promising and in line with the relevant biomedical literature.
  • Keywords
    RNA; cancer; decision trees; kidney; learning (artificial intelligence); medical computing; molecular biophysics; patient diagnosis; topology; tumours; Wilms tumor phenotype; biomedical literature; cancer domains; concurrent syndrome; decision-tree induction approaches; gene regulatory networks; kidney; machine-learning approaches; miRNA based pathway analysis tool; nephroblastoma; patient diagnossis; predictive model; putative mechanisms; topology; Cancer; Decision trees; Europe; Predictive models; Support vector machines; Topology; Tumors; clinical predictive model; disrupted pathways; gene regulatory networks; miRNAs; pathway analysis; systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Bioengineering (BIBE), 2014 IEEE International Conference on
  • Conference_Location
    Boca Raton, FL
  • Type

    conf

  • DOI
    10.1109/BIBE.2014.15
  • Filename
    7033578