| Issue |
Math. Model. Nat. Phenom.
Volume 21, 2026
|
|
|---|---|---|
| Article Number | 11 | |
| Number of page(s) | 47 | |
| Section | Mathematical physiology and medicine | |
| DOI | https://doi.org/10.1051/mmnp/2026002 | |
| Published online | 06 April 2026 | |
Mathematical modelling of the contribution of senescent fibroblasts to basement membrane digestion during carcinoma invasion
1
Sorbonne Université, CNRS, Université de Paris, Laboratoire Jacques-Louis Lions UMR 7598, 75005 Paris, France
2
Univ. Lille, CNRS, UMR 8524 – Laboratoire Paul Painlevé, F-59000 Lille, France
3
Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur Lille, UMR9020-U1277 – CANTHER – Cancer Heterogeneity Plasticity and Resistance to Therapies, F-59000 Lille, France
4
Sorbonne Université, CNRS, Université de Paris, Inria, Laboratoire Jacques-Louis Lions UMR 7598, 75005 Paris, France
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
15
October
2025
Accepted:
23
December
2025
Abstract
Senescent cells have been recognized to play major roles in tumor progression and are nowadays included in the hallmarks of cancer [Hanahan, Cancer Discov. 12 (2022) 31–46]. Our work aims to develop a mathematical model capable of capturing a pro-invasion effect of senescent fibroblasts located in the conjunctive tissue. We focus in the present article on the first moments of the invasion cascade. Considering a localized epithelial tumor, we model the digestion of the collagen fibers of the basement membrane by the proteolytic enzyme MMP-2. The activation of MMP-2 is modelled in detail, as MT1-MMPs bound to the surface of tumor cells interact with proMMPs and TIMPs, proteins enriched in the secretome of senescent Cancer-Associated Fibroblasts, along with its inhibition by TIMPs. Using numerical simulations of the model, calibrated via an extensive literature search, reproducing biologically relevant scenarios, we test the model's suitability to investigate the effect on basement membrane digestion of fibroblasts presenting a senescence-associated secretory phenotype. Via model reduction, steady state and global sensitivity analyses, we identify the most influential parameters in view of their calibration with empirical data. We conclude the paper discussing mathematical and interdisciplinary perspectives.
Mathematics Subject Classification: 92.10 / 35Q92
Key words: Cancer and senescence / mathematical modelling / cancer progression
Current address: Sorbonne Université, Université Paris Cité, CNRS, Laboratoire de Probabilités, Statistique et Modélisation, LPSM, F-75005, France
Current address: Université de Lille-UMR9020 CNRS-U1366 Inserm-CHU de Lille-Institut Pasteur de Lille. CRCLille, Cancer Research Center of Lille. F-59000 Lille, France
Current address: Université Paris Cité, CNRS, MAP5, Paris, F-75006, France
© The authors. Published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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