IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v596y2021i7873d10.1038_s41586-021-03796-6.html
   My bibliography  Save this article

Cycling cancer persister cells arise from lineages with distinct programs

Author

Listed:
  • Yaara Oren

    (Klarman Cell Observatory, Broad Institute of MIT and Harvard
    Harvard Medical School)

  • Michael Tsabar

    (Klarman Cell Observatory, Broad Institute of MIT and Harvard
    Harvard Medical School
    Harvard Medical School)

  • Michael S. Cuoco

    (Klarman Cell Observatory, Broad Institute of MIT and Harvard)

  • Liat Amir-Zilberstein

    (Klarman Cell Observatory, Broad Institute of MIT and Harvard)

  • Heidie F. Cabanos

    (Massachusetts General Hospital
    Harvard Medical School)

  • Jan-Christian Hütter

    (Klarman Cell Observatory, Broad Institute of MIT and Harvard)

  • Bomiao Hu

    (Yale School of Medicine)

  • Pratiksha I. Thakore

    (Klarman Cell Observatory, Broad Institute of MIT and Harvard
    Genentech)

  • Marcin Tabaka

    (Klarman Cell Observatory, Broad Institute of MIT and Harvard)

  • Charles P. Fulco

    (Broad Institute of MIT and Harvard
    Bristol Myers Squibb)

  • William Colgan

    (Broad Institute of MIT and Harvard)

  • Brandon M. Cuevas

    (Klarman Cell Observatory, Broad Institute of MIT and Harvard)

  • Sara A. Hurvitz

    (University of California, Los Angeles
    Jonsson Comprehensive Cancer Center)

  • Dennis J. Slamon

    (University of California, Los Angeles
    Jonsson Comprehensive Cancer Center)

  • Amy Deik

    (Metabolomics Platform, Broad Institute)

  • Kerry A. Pierce

    (Metabolomics Platform, Broad Institute)

  • Clary Clish

    (Metabolomics Platform, Broad Institute)

  • Aaron N. Hata

    (Massachusetts General Hospital
    Harvard Medical School)

  • Elma Zaganjor

    (Vanderbilt University)

  • Galit Lahav

    (Harvard Medical School)

  • Katerina Politi

    (Yale School of Medicine
    Yale Cancer Center)

  • Joan S. Brugge

    (Harvard Medical School
    Ludwig Center at Harvard)

  • Aviv Regev

    (Klarman Cell Observatory, Broad Institute of MIT and Harvard
    Massachusetts Institute of Technology
    Howard Hughes Medical Institute
    Genentech)

Abstract

Non-genetic mechanisms have recently emerged as important drivers of cancer therapy failure1, where some cancer cells can enter a reversible drug-tolerant persister state in response to treatment2. Although most cancer persisters remain arrested in the presence of the drug, a rare subset can re-enter the cell cycle under constitutive drug treatment. Little is known about the non-genetic mechanisms that enable cancer persisters to maintain proliferative capacity in the presence of drugs. To study this rare, transiently resistant, proliferative persister population, we developed Watermelon, a high-complexity expressed barcode lentiviral library for simultaneous tracing of each cell’s clonal origin and proliferative and transcriptional states. Here we show that cycling and non-cycling persisters arise from different cell lineages with distinct transcriptional and metabolic programs. Upregulation of antioxidant gene programs and a metabolic shift to fatty acid oxidation are associated with persister proliferative capacity across multiple cancer types. Impeding oxidative stress or metabolic reprogramming alters the fraction of cycling persisters. In human tumours, programs associated with cycling persisters are induced in minimal residual disease in response to multiple targeted therapies. The Watermelon system enabled the identification of rare persister lineages that are preferentially poised to proliferate under drug pressure, thus exposing new vulnerabilities that can be targeted to delay or even prevent disease recurrence.

Suggested Citation

  • Yaara Oren & Michael Tsabar & Michael S. Cuoco & Liat Amir-Zilberstein & Heidie F. Cabanos & Jan-Christian Hütter & Bomiao Hu & Pratiksha I. Thakore & Marcin Tabaka & Charles P. Fulco & William Colgan, 2021. "Cycling cancer persister cells arise from lineages with distinct programs," Nature, Nature, vol. 596(7873), pages 576-582, August.
  • Handle: RePEc:nat:nature:v:596:y:2021:i:7873:d:10.1038_s41586-021-03796-6
    DOI: 10.1038/s41586-021-03796-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-021-03796-6
    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/s41586-021-03796-6?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. Guillaume Harmange & Raúl A. Reyes Hueros & Dylan L. Schaff & Benjamin Emert & Michael Saint-Antoine & Laura C. Kim & Zijian Niu & Shivani Nellore & Mitchell E. Fane & Gretchen M. Alicea & Ashani T. W, 2023. "Disrupting cellular memory to overcome drug resistance," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    2. Matteo Maria Naldini & Gabriele Casirati & Matteo Barcella & Paola Maria Vittoria Rancoita & Andrea Cosentino & Carolina Caserta & Francesca Pavesi & Erika Zonari & Giacomo Desantis & Diego Gilioli & , 2023. "Longitudinal single-cell profiling of chemotherapy response in acute myeloid leukemia," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    3. Jun Dai & Shuyu Zheng & Matías M. Falco & Jie Bao & Johanna Eriksson & Sanna Pikkusaari & Sofia Forstén & Jing Jiang & Wenyu Wang & Luping Gao & Fernando Perez-Villatoro & Olli Dufva & Khalid Saeed & , 2024. "Tracing back primed resistance in cancer via sister cells," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    4. Mahmoud A. Bassal & Saumya E. Samaraweera & Kelly Lim & Brooks A. Benard & Sheree Bailey & Satinder Kaur & Paul Leo & John Toubia & Chloe Thompson-Peach & Tran Nguyen & Kyaw Ze Ya Maung & Debora A. Ca, 2022. "Germline mutations in mitochondrial complex I reveal genetic and targetable vulnerability in IDH1-mutant acute myeloid leukaemia," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    5. F. Nadalin & M. J. Marzi & M. Pirra Piscazzi & P. Fuentes-Bravo & S. Procaccia & M. Climent & P. Bonetti & C. Rubolino & B. Giuliani & I. Papatheodorou & J. C. Marioni & F. Nicassio, 2024. "Multi-omic lineage tracing predicts the transcriptional, epigenetic and genetic determinants of cancer evolution," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    6. Qiuchen Guo & Milos Spasic & Adam G. Maynard & Gregory J. Goreczny & Amanuel Bizuayehu & Jessica F. Olive & Peter Galen & Sandra S. McAllister, 2022. "Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    7. Sarah Figarol & Célia Delahaye & Rémi Gence & Aurélia Doussine & Juan Pablo Cerapio & Mathylda Brachais & Claudine Tardy & Nicolas Béry & Raghda Asslan & Jacques Colinge & Jean-Philippe Villemin & Ant, 2024. "Farnesyltransferase inhibition overcomes oncogene-addicted non-small cell lung cancer adaptive resistance to targeted therapies," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    8. A. S. Eisele & M. Tarbier & A. A. Dormann & V. Pelechano & D. M. Suter, 2024. "Gene-expression memory-based prediction of cell lineages from scRNA-seq datasets," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    9. Yufan Zhou & Tian Li & Lavanya Choppavarapu & Kun Fang & Shili Lin & Victor X. Jin, 2024. "Integration of scHi-C and scRNA-seq data defines distinct 3D-regulated and biological-context dependent cell subpopulations," Nature Communications, Nature, vol. 15(1), pages 1-11, 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:nature:v:596:y:2021:i:7873:d:10.1038_s41586-021-03796-6. 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.