Existence, Regularity, and Stability in a Strongly Degenerate Nonlinear Diffusion and Haptotaxis Model of Cancer Invasion

We consider a mathematical model of cancer cell invasion of the extracellular matrix (ECM), comprising a strongly degenerate parabolic partial differential equation for the cell volume fraction, coupled with an ordinary differential equation for the ECM volume fraction (0 ≤ φ ≤ 1). The model captures the intricate link between the dynamics of invading cancer cells and the surround- ing ECM. First, migrating cells undergo haptotaxis, i.e., movement up ECM density gradients. Secondly, cancer cells degrade the ECM fibers by means of membrane-bound proteases. Finally, their migration speed is modulated by the ECM pore sizes, resulting in the saturation or even interruption of cell motility both at high and low ECM densities. The inclusion of the physical limits of cell migration results in two regimes of degeneracy (at φ = 0 and φ = 1) impacting simultaneously the nonlinear diffusion and haptotaxis terms.We devise specific estimates that are compatible with the strong degeneracy of the equation, focusing on the vacuum present at low ECM densities. Based on these regularity results, and associated local compactness, we prove stability of weak solutions with respect to perturbations on bounded initial data, and global existence of weak solutions in the limit of an approximate non-degenerate problem.

Authors

Institutions

Publication Details

Journal
SIAM Journal on Mathematical Analysis
Published
2026-06-09
DOI
https://doi.org/10.1137/24m1722079
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Existence, Regularity, and Stability in a Strongly Degenerate Nonlinear Diffusion and Haptotaxis Model of Cancer Invasion

Chiara Villa, Benoı̂t Perthame
SIAM Journal on Mathematical Analysis
Mathematical Biology Tumor Growth
article

Existence, Regularity, and Stability in a Strongly Degenerate Nonlinear Diffusion and Haptotaxis Model of Cancer Invasion

Chiara Villa, Benoı̂t Perthame
article en

Abstract

We consider a mathematical model of cancer cell invasion of the extracellular matrix (ECM), comprising a strongly degenerate parabolic partial differential equation for the cell volume fraction, coupled with an ordinary differential equation for the ECM volume fraction (0 ≤ φ ≤ 1). The model captures the intricate link between the dynamics of invading cancer cells and the surround- ing ECM. First, migrating cells undergo haptotaxis, i.e., movement up ECM density gradients. Secondly, cancer cells degrade the ECM fibers by means of membrane-bound proteases. Finally, their migration speed is modulated by the ECM pore sizes, resulting in the saturation or even interruption of cell motility both at high and low ECM densities. The inclusion of the physical limits of cell migration results in two regimes of degeneracy (at φ = 0 and φ = 1) impacting simultaneously the nonlinear diffusion and haptotaxis terms.We devise specific estimates that are compatible with the strong degeneracy of the equation, focusing on the vacuum present at low ECM densities. Based on these regularity results, and associated local compactness, we prove stability of weak solutions with respect to perturbations on bounded initial data, and global existence of weak solutions in the limit of an approximate non-degenerate problem.

SIAM Journal on Mathematical AnalysisVol. 58(3)
Centre National de la Recherche Scientifique (FR), Université Paris Cité (FR), Sorbonne Université (FR), Département mathématiques, informatique, sciences de la donnée et technologies du numérique (FR), Laboratoire Jacques-Louis Lions (FR), Mathématiques Appliquées à Paris 5 (FR)
H2020 Marie Skłodowska-Curie Actions
Openalex Percentile: Top 99%
Mathematical Biology Tumor Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.