Chemotherapy may be delivered based on an integrated view of tumour dynamics.

Benjamin Ribba 1 Benoit You 2 Michel Tod P. Girard 3 B. Tranchand 4 V. Trillet-Lenoir G. Freyer 5
1 NUMED - Numerical Medicine
UMPA-ENSL - Unité de Mathématiques Pures et Appliquées, Inria Grenoble - Rhône-Alpes
2 CHLS - Centre Hospitalier Lyon Sud [CHU - HCL]
3 CC-IN2P3 - Centre de Calcul de l'IN2P3
4 EA3738 - Ciblage thérapeutique en Oncologie
5 Université de Lyon
Abstract : The aim here was to explore the potential of pharmacokinetic (PK)/pharmacodynamic (PD) and physiopathological parameters in explaining the primary effects of an anti-cancer treatment that targets cells in a specific cell cycle phase. The authors applied a theoretical multi-scale disease model of tumour growth that integrates cancer processes at the cellular and tissue scales. The mathematical model at the cell level relies on a dynamic description of cell cycle regulation while the model at the tissue level is based on fluid mechanics considerations. Simulations show that the number of target cells oscillates as the tumour grows after a first cycle of chemotherapy. Both treatment effect and tumour growth processes drive these oscillations. Nonetheless, results indicate that parameters related to physiopathological processes may have greater relevance than classical drug-related parameters in determining the efficacy of a chemotherapy treatment protocol. Physiopathological parameters, in particular those related to cell cycle regulation, may be integrated in PK/PD models aimed at optimising the delivery of phase-specific cytotoxic treatments.
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Journal articles
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https://hal.inria.fr/hal-00756359
Contributor : Benjamin Ribba <>
Submitted on : Thursday, November 22, 2012 - 7:25:52 PM
Last modification on : Wednesday, November 20, 2019 - 3:25:48 AM

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IN2P3 | HCL | CNRS | INRIA | ENS-LYON | CHLS | TDS-MACS | UNIV-LYON1 | UDL

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Benjamin Ribba, Benoit You, Michel Tod, P. Girard, B. Tranchand, et al.. Chemotherapy may be delivered based on an integrated view of tumour dynamics.. IET Systems Biology, Institution of Engineering and Technology, 2009, 3 (3), pp.180-90. ⟨10.1049/iet-syb.2008.0104⟩. ⟨hal-00756359⟩

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