IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v631y2024i8022d10.1038_s41586-024-07690-9.html
   My bibliography  Save this article

Cellular adaptation to cancer therapy along a resistance continuum

Author

Listed:
  • Gustavo S. França

    (NYU Grossman School of Medicine
    NYU Grossman School of Medicine)

  • Maayan Baron

    (NYU Grossman School of Medicine)

  • Benjamin R. King

    (NYU Grossman School of Medicine
    Bristol-Myers Squibb Company)

  • Jozef P. Bossowski

    (NYU Grossman School of Medicine)

  • Alicia Bjornberg

    (H. Lee Moffitt Cancer Center and Research Institute)

  • Maayan Pour

    (NYU Grossman School of Medicine
    NYU Grossman School of Medicine)

  • Anjali Rao

    (NYU Grossman School of Medicine)

  • Ayushi S. Patel

    (NYU Grossman School of Medicine
    NYU Grossman School of Medicine)

  • Selim Misirlioglu

    (NYU Grossman School of Medicine)

  • Dalia Barkley

    (NYU Grossman School of Medicine)

  • Kwan Ho Tang

    (NYU Grossman School of Medicine
    AstraZeneca)

  • Igor Dolgalev

    (NYU Grossman School of Medicine)

  • Deborah A. Liberman

    (NYU Grossman School of Medicine
    NYU Grossman School of Medicine)

  • Gal Avital

    (NYU Grossman School of Medicine)

  • Felicia Kuperwaser

    (NYU Grossman School of Medicine
    NYU Grossman School of Medicine)

  • Marta Chiodin

    (NYU Grossman School of Medicine)

  • Douglas A. Levine

    (NYU Grossman School of Medicine
    Merck & Co.)

  • Thales Papagiannakopoulos

    (NYU Grossman School of Medicine
    Bristol-Myers Squibb Company)

  • Andriy Marusyk

    (H. Lee Moffitt Cancer Center and Research Institute)

  • Timothée Lionnet

    (NYU Grossman School of Medicine
    NYU Grossman School of Medicine)

  • Itai Yanai

    (NYU Grossman School of Medicine
    NYU Grossman School of Medicine
    NYU Grossman School of Medicine
    NYU Grossman School of Medicine)

Abstract

Advancements in precision oncology over the past decades have led to new therapeutic interventions, but the efficacy of such treatments is generally limited by an adaptive process that fosters drug resistance1. In addition to genetic mutations2, recent research has identified a role for non-genetic plasticity in transient drug tolerance3 and the acquisition of stable resistance4,5. However, the dynamics of cell-state transitions that occur in the adaptation to cancer therapies remain unknown and require a systems-level longitudinal framework. Here we demonstrate that resistance develops through trajectories of cell-state transitions accompanied by a progressive increase in cell fitness, which we denote as the ‘resistance continuum’. This cellular adaptation involves a stepwise assembly of gene expression programmes and epigenetically reinforced cell states underpinned by phenotypic plasticity, adaptation to stress and metabolic reprogramming. Our results support the notion that epithelial-to-mesenchymal transition or stemness programmes—often considered a proxy for phenotypic plasticity—enable adaptation, rather than a full resistance mechanism. Through systematic genetic perturbations, we identify the acquisition of metabolic dependencies, exposing vulnerabilities that can potentially be exploited therapeutically. The concept of the resistance continuum highlights the dynamic nature of cellular adaptation and calls for complementary therapies directed at the mechanisms underlying adaptive cell-state transitions.

Suggested Citation

  • Gustavo S. França & Maayan Baron & Benjamin R. King & Jozef P. Bossowski & Alicia Bjornberg & Maayan Pour & Anjali Rao & Ayushi S. Patel & Selim Misirlioglu & Dalia Barkley & Kwan Ho Tang & Igor Dolga, 2024. "Cellular adaptation to cancer therapy along a resistance continuum," Nature, Nature, vol. 631(8022), pages 876-883, July.
  • Handle: RePEc:nat:nature:v:631:y:2024:i:8022:d:10.1038_s41586-024-07690-9
    DOI: 10.1038/s41586-024-07690-9
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-024-07690-9
    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/s41586-024-07690-9?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.

    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:631:y:2024:i:8022:d:10.1038_s41586-024-07690-9. 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.