Nature Communications (Nov 2022)

Evaluating cancer etiology and risk with a mathematical model of tumor evolution

  • Sophie Pénisson,
  • Amaury Lambert,
  • Cristian Tomasetti

DOI
https://doi.org/10.1038/s41467-022-34760-1
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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Modelling how endogenous mutations accumulate in tissues is valuable to understand how cancers develop and evolve. Here, the authors establish a mathematical model that can predict the number of endogenous somatic mutations in the lifetime of tissues and approximate the time to cancer development.