Physiologically structured cell population dynamic models with applications to combined drug delivery optimisation in oncology - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue Mathematical Modelling of Natural Phenomena Année : 2016

Physiologically structured cell population dynamic models with applications to combined drug delivery optimisation in oncology

Résumé

In this paper, we introduce a model for drug delivery optimisation in a chronotherapeu-tics framework. We present a pharmacokinetics and pharmacodynamics model for oxaliplatin and 5-Fluorouracil, a classic therapeutic association in the treatment of colorectal cancer. We derive the phar-macokinetics model using law of mass action and enzyme kinetics. We design an age-structured cell cycle PDE model with drug damage and repair phases to account for the effect of the drugs on proliferating cell populations, with different parameters for healthy and cancer cell populations focused on their different syn-chronisation responses to circadian clock triggering. Our goal is to minimise the growth rate of cancerous cells while maintaining the growth rate of healthy cells above a given toxicity threshold. We numerically optimise the drug delivery schedules under our model and obtain theoretically efficient infusion schemes in a chronotherapeutics framework, with as well as without circadian clock involvement in the molecular pharmacological model.
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hal-01413791 , version 1 (11-12-2016)

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Jean Clairambault, Olivier Fercoq. Physiologically structured cell population dynamic models with applications to combined drug delivery optimisation in oncology. Mathematical Modelling of Natural Phenomena, 2016, pp.22. ⟨10.1051/mmnp/201611604⟩. ⟨hal-01413791⟩
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