Evaluating cancer etiology and risk with a mathematical model of tumor evolution - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Article Dans Une Revue Nature Communications Année : 2022

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

Résumé

Recent evidence arising from DNA sequencing of healthy human tissues has clearly indicated that our organs accumulate a relevant number of somatic mutations due to normal endogenous mutational processes, in addition to those caused by environmental factors. A deeper understanding of the evolution of this endogenous mutational load is critical for understanding what causes cancer. Here we present a mathematical model of tumor evolution that is able to predict the expected number of endogenous somatic mutations present in various tissue types of a patient at a given age. These predictions are then compared to those observed in patients. We also obtain an improved fitting of the variation in cancer incidence across cancer types, showing that the endogenous mutational processes can explain 4/5 of the variation in cancer risk. Overall, these results offer key insights into cancer etiology, by providing further evidence for the major role these endogenous processes play in cancer.
Fichier principal
Vignette du fichier
s41467-022-34760-1.pdf (1.45 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03876849 , version 1 (30-11-2022)

Identifiants

Citer

Sophie Pénisson, Amaury Lambert, Cristian Tomasetti. Evaluating cancer etiology and risk with a mathematical model of tumor evolution. Nature Communications, 2022, 13 (1), pp.7224. ⟨10.1038/s41467-022-34760-1⟩. ⟨hal-03876849⟩
67 Consultations
14 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More