Treatment-induced shrinking of tumour aggregates: A nonlinear volume-filling chemotactic approach - Inria - Institut national de recherche en sciences et technologies du numérique
Journal Articles Journal of Mathematical Biology Year : 2021

Treatment-induced shrinking of tumour aggregates: A nonlinear volume-filling chemotactic approach

Abstract

Motivated by experimental observations in 3D/organoid cultures derived from glioblastoma, we develop a mathematical model where tumour aggregate formation is obtained as the result of nutrient-limited cell proliferation coupled with chemotaxis-based cell movement. The introduction of a chemotherapeutic treatment induces mechanical changes at the cell level, with cells undergoing a transition from rigid bodies to semi-elastic entities. We analyse the influence of these individual mechanical changes on the properties of the aggregates obtained at the population level by introducing a nonlinear volume-filling chemotactic system of partial differential equations. The elastic properties of the cells are taken into account through the so-called squeezing probability, which allows us to change the packing capacity of the aggregates, depending on the concentration of the treatment in the extracellular microenvironment. We explore two scenarios for the effect of the treatment: firstly, the treatment acts only on the mechanical properties of the cells and, secondly, we assume it also prevents cell proliferation. A linear stability analysis enables us to study the ability of the system to create patterns. We provide numerical simulations in 1D and 2D that illustrate the shrinking of the aggregates due to the presence of the treatment.
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Dates and versions

hal-02906240 , version 1 (24-07-2020)
hal-02906240 , version 2 (27-01-2021)
hal-02906240 , version 3 (17-09-2021)

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Luis Almeida, Gissell Estrada-Rodriguez, Lisa Oliver, Diane Peurichard, Alexandre Poulain, et al.. Treatment-induced shrinking of tumour aggregates: A nonlinear volume-filling chemotactic approach. Journal of Mathematical Biology, 2021, 83 (3), pp.29. ⟨10.1007/s00285-021-01642-x⟩. ⟨hal-02906240v3⟩
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