Using a probabilistic approach to derive a two-phase model of flow-induced cell migration
Yaron Ben-Ami, Joe M. Pitt-Francis, Philip K. Maini, Helen M., Byrne

TL;DR
This paper develops a probabilistic-continuum two-phase model to describe how interstitial fluid flow influences tumor cell migration, capturing transitions between upstream and downstream movement based on cell density and mechanochemical cues.
Contribution
It introduces a novel probabilistic-continuum model that integrates mechanochemical stimuli to predict cell migration directions in response to interstitial flow.
Findings
Model predicts downstream chemotaxis at low cell densities.
Model shows upstream tensotaxis at higher cell densities.
Transition from downstream to upstream migration depends on chemokine secretion and flow advection.
Abstract
Interstitial fluid flow is a feature of many solid tumours. In vitro Experiments have shown that such fluid flow can direct tumour cell movement upstream or downstream depending on the balance between the competing mechanisms of tensotaxis and autologous chemotaxis. In this work we develop a probabilistic-continuum, two-phase model for cell migration in response to interstitial flow. We use a kinetic description for the cell-velocity probability density function, and model the flow-dependent stimuli as forcing terms which bias cell migration upstream and downstream. Using velocity-space averaging, we reformulate the model as a system of continuum equations for the spatio-temporal evolution of the cell volume fraction and flux, in response to forcing terms which depend on the local direction and magnitude of the mechanochemical cues. We specialise our model to describe a one-dimensional…
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Taxonomy
TopicsMathematical Biology Tumor Growth
