Modeling tumor cell migration: from microscopic to macroscopic
Christophe Deroulers (IMNC), Marine Aubert (IMNC), Mathilde Badoual, (IMNC), Basil Grammaticos (IMNC)

TL;DR
This paper derives a nonlinear diffusion PDE from microscopic models of tumor cell migration with contact interactions, linking cellular behavior to macroscopic tumor growth predictions validated by experiments.
Contribution
It introduces a multiscale approach to connect microscopic contact interactions with a macroscopic nonlinear diffusion model for tumor cell migration.
Findings
Derived a nonlinear diffusion PDE from microscopic models.
Explicitly related diffusivity to cell density and interaction parameters.
Validated the PDE model against numerical simulations and in vitro experiments.
Abstract
It has been shown experimentally that contact interactions may influence the migration of cancer cells. Previous works have modelized this thanks to stochastic, discrete models (cellular automata) at the cell level. However, for the study of the growth of real-size tumors with several millions of cells, it is best to use a macroscopic model having the form of a partial differential equation (PDE) for the density of cells. The difficulty is to predict the effect, at the macroscopic scale, of contact interactions that take place at the microscopic scale. To address this we use a multiscale approach: starting from a very simple, yet experimentally validated, microscopic model of migration with contact interactions, we derive a macroscopic model. We show that a diffusion equation arises, as is often postulated in the field of glioma modeling, but it is nonlinear because of the interactions.…
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