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A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity

Author

Listed:
  • Bartlomiej Waclaw

    (School of Physics and Astronomy, University of Edinburgh, JCMB)

  • Ivana Bozic

    (Program for Evolutionary Dynamics, Harvard University
    Harvard University)

  • Meredith E. Pittman

    (The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine)

  • Ralph H. Hruban

    (The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine)

  • Bert Vogelstein

    (The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine
    Ludwig Center and Howard Hughes Medical Institute, Johns Hopkins Kimmel Cancer Center)

  • Martin A. Nowak

    (Program for Evolutionary Dynamics, Harvard University
    Harvard University
    Harvard University)

Abstract

A new model of tumour evolution is presented to explain how short-range migration and cell turnover within the tumour can provide the basic environment of rapid cell mixing, allowing even a small selective advantage to dominate the mass within relevant time frames.

Suggested Citation

  • Bartlomiej Waclaw & Ivana Bozic & Meredith E. Pittman & Ralph H. Hruban & Bert Vogelstein & Martin A. Nowak, 2015. "A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity," Nature, Nature, vol. 525(7568), pages 261-264, September.
    • Handle: RePEc:nat:nature:v:525:y:2015:i:7568:d:10.1038_nature14971
    DOI: 10.1038/nature14971
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    Cited by:

    1. Xiaodong Liu & Ke Zhang & Neslihan A. Kaya & Zhe Jia & Dafei Wu & Tingting Chen & Zhiyuan Liu & Sinan Zhu & Axel M. Hillmer & Torsten Wuestefeld & Jin Liu & Yun Shen Chan & Zheng Hu & Liang Ma & Li Ji, 2024. "Tumor phylogeography reveals block-shaped spatial heterogeneity and the mode of evolution in Hepatocellular Carcinoma," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    2. Serhii Aif & Nico Appold & Lucas Kampman & Oskar Hallatschek & Jona Kayser, 2022. "Evolutionary rescue of resistant mutants is governed by a balance between radial expansion and selection in compact populations," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    3. Benjamin Wölfl & Hedy te Rietmole & Monica Salvioli & Artem Kaznatcheev & Frank Thuijsman & Joel S. Brown & Boudewijn Burgering & Kateřina Staňková, 2022. "The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer," Dynamic Games and Applications, Springer, vol. 12(2), pages 313-342, June.
    4. Juan Jiménez-Sánchez & Álvaro Martínez-Rubio & Anton Popov & Julián Pérez-Beteta & Youness Azimzade & David Molina-García & Juan Belmonte-Beitia & Gabriel F Calvo & Víctor M Pérez-García, 2021. "A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors," PLOS Computational Biology, Public Library of Science, vol. 17(2), pages 1-26, February.
    5. Kumar, Aanjaneya & Grassberger, Peter & Dhar, Deepak, 2021. "Chase-Escape percolation on the 2D square lattice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 577(C).
    6. Andrea Comba & Syed M. Faisal & Patrick J. Dunn & Anna E. Argento & Todd C. Hollon & Wajd N. Al-Holou & Maria Luisa Varela & Daniel B. Zamler & Gunnar L. Quass & Pierre F. Apostolides & Clifford Abel , 2022. "Spatiotemporal analysis of glioma heterogeneity reveals COL1A1 as an actionable target to disrupt tumor progression," Nature Communications, Nature, vol. 13(1), pages 1-23, December.
    7. Kamran Kaveh & Alex McAvoy & Krishnendu Chatterjee & Martin A Nowak, 2020. "The Moran process on 2-chromatic graphs," PLOS Computational Biology, Public Library of Science, vol. 16(11), pages 1-18, November.
    8. Ohtsuki, Hisashi & Innan, Hideki, 2017. "Forward and backward evolutionary processes and allele frequency spectrum in a cancer cell population," Theoretical Population Biology, Elsevier, vol. 117(C), pages 43-50.
    9. Ross, Robert J.H. & Yates, C.A. & Baker, R.E., 2017. "The effect of domain growth on spatial correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 334-345.

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