Mathematical modelling of cancer growth and drug treatments: taking into account cell population heterogeneity and plasticity - Inria - Institut national de recherche en sciences et technologies du numérique
Pré-Publication, Document De Travail Année : 2023

Mathematical modelling of cancer growth and drug treatments: taking into account cell population heterogeneity and plasticity

Résumé

Mathematical models of cancer growth and evolution of cancer cell characteristics, aka phenotypes, together with optimisation and optimal control methods to contain them, in the framework of adaptive dynamics of cell populations, are presented, that take into account the heterogeneity of cancer cell populations, i.e., their biological variability, and their intrinsic plasticity, i.e., their nongenetic instability that allows them to quickly adapt to changing environments. The presented vision of the cancer disease, which is specific to multicellular organisms, relies on a relatively novel vision, consistent with a billionyear evolutionary perspective. Based on recent contributions from philosophy of cancer, these mathematical models aim at designing theoretical therapeutic strategies to simultaneously contain tumour progression and limit adverse events of drugs to healthy cell populations.
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Dates et versions

hal-03938411 , version 1 (13-01-2023)
hal-03938411 , version 2 (05-04-2023)

Identifiants

  • HAL Id : hal-03938411 , version 2

Citer

Jean Clairambault. Mathematical modelling of cancer growth and drug treatments: taking into account cell population heterogeneity and plasticity. 2023. ⟨hal-03938411v2⟩
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