A Big Bang model of human colorectal tumor growth

By A. Sottoriva, Haeyoun Kang, Zhicheng Ma, T. Graham, M. Salomon, Junsong Zhao, Paul Marjoram, K. Siegmund, M. Press, D. Shibata and 1 more. Nature Genetics, 2015

992 citations recorded by the source corpus.

What happens in early, still undetectable human malignancies is unknown because direct observations are impractical. Here we present and validate a 'Big Bang' model, whereby tumors grow predominantly as a single expansion producing numerous intermixed subclones that are not subject to stringent selection and where both public (clonal) and most detectable private (subclonal) alterations arise early during growth. Genomic profiling of 349 individual glands from 15 colorectal tumors showed an absence of selective sweeps, uniformly high intratumoral heterogeneity (ITH) and subclone mixing in distant regions, as postulated by our model. We also verified the prediction that most detectable ITH originates from early private alterations and not from later clonal expansions, thus exposing the profile of the primordial tumor. Moreover, some tumors appear 'born to be bad', with subclone mixing indicative of early malignant potential. This new model provides a quantitative framework to interpret tumor growth dynamics and the origins of ITH, with important clinical implications.

Subfields: Cancer Research, Modeling and Simulation, Pathology and Forensic Medicine

View Paper: https://www.semanticscholar.org/paper/e5711e881cceaec8ffe783a40bc3fa90855ef1a4

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In Cancer Research

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  2. Charles Swanton
  3. Peter J. Campbell
  4. S. Nik-Zainal
  5. Ludmil B. Alexandrov
  6. David C. Wedge
  7. Michael R. Stratton
  8. A. Richardson

In Modeling and Simulation

  1. Charles Swanton

In Pathology and Forensic Medicine

  1. Peter J. Campbell

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