• DocumentCode
    3650211
  • Title

    Integration of imaging and systems biology to study treatment of medulloblastoma

  • Author

    Sean S. Wang;Olga C. Rodriguez;Ye Tian;Shaozhen Ye;Emanual Petricoin;Chris Albanese

  • Author_Institution
    A. James Clark School of Engineering, University of Maryland, College Park, MD 20742
  • fYear
    2012
  • Firstpage
    22
  • Lastpage
    25
  • Abstract
    Medulloblastoma is a highly malignant childhood brain tumor and is often characterized by alterations in cell cycle regulatory pathways and genes. Using FDA-approved arsenic trioxide (ATO) treated ND2-SmoAl mouse model, we present an integrated imaging and systems biology approach to assess tumor responses to ATO and to uncover the complexity of therapeutic molecular biology. Kaplan-Meier survival and MRI tumor growth analyses established the effectiveness of ATO treatment. Differential analysis of protein data identified biologically plausible gene markers. Differential dependence network analyses further revealed novel rewiring “hubs” of biological networks triggered by ATO at systems level. Functional analyses on statistically significant networked molecular markers confirmed ATO´s role as an effective anti-proliferative and pro-apoptotic drug, in vivo.
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics, (GENSIPS), 2012 IEEE International Workshop on
  • ISSN
    2150-3001
  • Print_ISBN
    978-1-4673-5234-5
  • Type

    conf

  • DOI
    10.1109/GENSIPS.2012.6507717
  • Filename
    6507717