IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v4y2013i1d10.1038_ncomms3467.html
   My bibliography  Save this article

Non-Darwinian dynamics in therapy-induced cancer drug resistance

Author

Listed:
  • Angela Oliveira Pisco

    (Institute for Systems Biology
    Faculty of Life Sciences, University of Manchester)

  • Amy Brock

    (Wyss Institute for Biologically Inspired Engineering at Harvard University
    Present address: Department of Biomedical Engineering, Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas 78712, USA)

  • Joseph Zhou

    (Institute for Systems Biology
    Institute for Biocomplexity and Informatics, University of Calgary)

  • Andreas Moor

    (Ecole Polytechnique Fédérale de Lausanne, Swiss Institute for Experimental Cancer Research)

  • Mitra Mojtahedi

    (Institute for Systems Biology
    Institute for Biocomplexity and Informatics, University of Calgary)

  • Dean Jackson

    (Faculty of Life Sciences, University of Manchester)

  • Sui Huang

    (Institute for Systems Biology
    Institute for Biocomplexity and Informatics, University of Calgary)

Abstract

The development of drug resistance, the prime cause of failure in cancer therapy, is commonly explained by the selection of resistant mutant cancer cells. However, dynamic non-genetic heterogeneity of clonal cell populations continuously produces metastable phenotypic variants (persisters), some of which represent stem-like states that confer resistance. Even without genetic mutations, Darwinian selection can expand these resistant variants, which would explain the invariably rapid emergence of stem-like resistant cells. Here, by using quantitative measurements and modelling, we show that appearance of multidrug resistance in HL60 leukemic cells following treatment with vincristine is not explained by Darwinian selection but by Lamarckian induction. Single-cell longitudinal monitoring confirms the induction of multidrug resistance in individual cells. Associated transcriptome changes indicate a lasting stress response consistent with a drug-induced switch between high-dimensional cancer attractors. Resistance induction correlates with Wnt pathway upregulation and is suppressed by β-catenin knockdown, revealing a new opportunity for early therapeutic intervention against the development of drug resistance.

Suggested Citation

  • Angela Oliveira Pisco & Amy Brock & Joseph Zhou & Andreas Moor & Mitra Mojtahedi & Dean Jackson & Sui Huang, 2013. "Non-Darwinian dynamics in therapy-induced cancer drug resistance," Nature Communications, Nature, vol. 4(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:4:y:2013:i:1:d:10.1038_ncomms3467
    DOI: 10.1038/ncomms3467
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms3467
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms3467?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
    ---><---

    Citations

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


    Cited by:

    1. Teemu Kuosmanen & Johannes Cairns & Robert Noble & Niko Beerenwinkel & Tommi Mononen & Ville Mustonen, 2021. "Drug-induced resistance evolution necessitates less aggressive treatment," PLOS Computational Biology, Public Library of Science, vol. 17(9), pages 1-22, September.
    2. Yelyzaveta Shlyakhtina & Bianca Bloechl & Maximiliano M. Portal, 2023. "BdLT-Seq as a barcode decay-based method to unravel lineage-linked transcriptome plasticity," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

    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:natcom:v:4:y:2013:i:1:d:10.1038_ncomms3467. 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.