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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
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    Citations

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    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. 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.
    3. 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.
    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. 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.
    6. 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.

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