• DocumentCode
    599187
  • Title

    Dynamical modeling of chronic myeloid leukemia progression and the development of mutations

  • Author

    Ben-gong Zhang ; Tanaka, G. ; Luonan Chen ; Aihara, Kazuyuki

  • Author_Institution
    Aihara Innovative Math. Modelling Project, JST, Japan
  • fYear
    2012
  • fDate
    4-7 Oct. 2012
  • Firstpage
    130
  • Lastpage
    135
  • Abstract
    Mathematical models have already been developed to describe the dynamics of the chronic myeloid leukemia (CML). However, most of them mainly focus on the short term dynamics and response to the treatment with drugs such as imatinib or the relapse upon cessation of treatment. In this paper, we aim to study the dynamics of CML which represents the first human cancer for the molecularly targeted therapy again. First, we propose a new mathematical model of CML which based on the known biology knowledges. And then we analyze its qualitative and dynamical properties. Combining the clinical data and theoretical analysis, we demonstrate that our model is biologically plausible and also computationally viable. Second, we demonstrate that this model can characterize the dynamics of the CML infection and the development of mutation, and is also validated by clinical data.
  • Keywords
    blood; cancer; drug delivery systems; drugs; mathematical analysis; biology knowledges; cessation treatment; chronic myeloid leukemia progression; clinical data; drugs; dynamical modeling; dynamical properties; human cancer; imatinib; mathematical models; molecularly targeted therapy; mutation development; short term dynamics; theoretical analysis; Biological system modeling; Cancer; Drugs; Immune system; Mathematical model; Stem cells; Chronic myeloid leukemia; Mathematical modeling; Resistance mutation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4673-2746-6
  • Electronic_ISBN
    978-1-4673-2744-2
  • Type

    conf

  • DOI
    10.1109/BIBMW.2012.6470294
  • Filename
    6470294