IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v435y2005i7046d10.1038_nature03669.html
   My bibliography  Save this article

Dynamics of chronic myeloid leukaemia

Author

Listed:
  • Franziska Michor

    (Harvard University)

  • Timothy P. Hughes

    (Institute of Medical and Veterinary Science)

  • Yoh Iwasa

    (Kyushu University)

  • Susan Branford

    (Institute of Medical and Veterinary Science)

  • Neil P. Shah

    (Department of Medicine)

  • Charles L. Sawyers

    (Department of Medicine
    University of California)

  • Martin A. Nowak

    (Harvard University)

Abstract

The kinetics of a cancer Chronic myeloid leukaemia is associated with the oncogene BCR-ABL. The tyrosine kinase inhibitor imatinib (Gleevec), in the news as the first molecularly targeted anticancer drug, acts by impairing the function of this oncogene. A study of 169 patients receiving imatinib followed the kinetics of BCR-ABL in order to develop a mathematical model of the in vivo kinetics of a cancer. Imatinib reduced the rate of leukaemic cell production, but did not appear to deplete a population of leukaemic stem cells. The model also indicates when multiple drug therapy might be more effective than imatinib alone.

Suggested Citation

  • Franziska Michor & Timothy P. Hughes & Yoh Iwasa & Susan Branford & Neil P. Shah & Charles L. Sawyers & Martin A. Nowak, 2005. "Dynamics of chronic myeloid leukaemia," Nature, Nature, vol. 435(7046), pages 1267-1270, June.
    • Handle: RePEc:nat:nature:v:435:y:2005:i:7046:d:10.1038_nature03669
    DOI: 10.1038/nature03669
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature03669
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/nature03669?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michael D Nicholson & Tibor Antal, 2019. "Competing evolutionary paths in growing populations with applications to multidrug resistance," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-25, April.
    2. Rădulescu, I.R. & Cândea, D. & Halanay, A., 2016. "Optimal control analysis of a leukemia model under imatinib treatment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 121(C), pages 1-11.
    3. Lorand Gabriel Parajdi & Radu Precup & Eduard Alexandru Bonci & Ciprian Tomuleasa, 2020. "A Mathematical Model of the Transition from Normal Hematopoiesis to the Chronic and Accelerated-Acute Stages in Myeloid Leukemia," Mathematics, MDPI, vol. 8(3), pages 1-18, March.
    4. Meacci, Luca & Primicerio, Mario & Buscaglia, Gustavo Carlos, 2021. "Growth of tumours with stem cells: The effect of crowding and ageing of cells," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    5. Evgenii Khailov & Ellina Grigorieva, 2023. "Optimal Melanoma Treatment Protocols for a Bilinear Control Model," Mathematics, MDPI, vol. 11(15), pages 1-29, July.
    6. Christopher Graser, 2020. "Preventative Cancer Treatments Through Optimizing Tissue Structure," Tinbergen Institute Discussion Papers 20-012/II, Tinbergen Institute.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:435:y:2005:i:7046:d:10.1038_nature03669. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.