Stochastic differential equation modelling of cancer cell migration and tissue invasion

Invasion of the surrounding tissue is a key aspect of cancer growth and spread involving a coordinated effort between cell migration and matrix degradation, and has been the subject of mathematical modelling for almost 30 years. In this current paper we address a long-standing question in the field...

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Bibliographic Details
Published in:Journal of mathematical biology 2023-07, Vol.87 (1), p.8-8, Article 8
Main Authors: Katsaounis, Dimitrios, Chaplain, Mark A. J., Sfakianakis, Nikolaos
Format: Article
Language:English
Subjects:
Applications of Mathematics
Cancer
Cell adhesion & migration
Cell migration
Cell Movement
Diffusion
Divergence
Humans
Mathematical analysis
Mathematical and Computational Biology
Mathematical models
Mathematics
Mathematics and Statistics
Models, Biological
Models, Theoretical
Neoplasms
Partial differential equations
Stochasticity
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Summary:Invasion of the surrounding tissue is a key aspect of cancer growth and spread involving a coordinated effort between cell migration and matrix degradation, and has been the subject of mathematical modelling for almost 30 years. In this current paper we address a long-standing question in the field of cancer cell migration modelling. Namely, identify the migratory pattern and spread of individual cancer cells, or small clusters of cancer cells, when the macroscopic evolution of the cancer cell colony is dictated by a specific partial differential equation (PDE). We show that the usual heuristic understanding of the diffusion and advection terms of the PDE being one-to-one responsible for the random and biased motion of the solitary cancer cells, respectively, is not precise. On the contrary, we show that the drift term of the correct stochastic differential equation scheme that dictates the individual cancer cell migration, should account also for the divergence of the diffusion of the PDE. We support our claims with a number of numerical experiments and computational simulations.
ISSN:0303-6812
1432-1416
DOI:10.1007/s00285-023-01934-4