Stress-dependent growth in breast cancer arises from a mechano-osmotic coupling and cell-sizing checkpoint
Mechanoresponsive cell proliferation is a feature of growing tumors, despite the suppression of many other regulatory checkpoints in cancer, but the underlying cell-scale mechanisms driving this behavior have not yet been established. In this study, we propose a biophysical model for cell growth as governed by actively controlled osmolarity, which we integrate with a discrete particle framework to simulate growth and remodeling of breast cancer spheroids. Confinement and biomechanical feedback from the extracellular environment are analyzed through a neural-network-accelerated finite element solver. Combining the framework with experiments, our model reveals that stress-dependent spheroid growth can arise from a sizing checkpoint for mitosis. Under sufficient extracellular loading, cell growth is restricted by high hydrostatic forces in competition with osmotic pressure from biomolecule synthesis, which prevents cells from surpassing a critical volume. Our model provides insight into mechanosensitive growth arrest in breast cancer, potentially serving as a computational tool for analyzing growth in a wider range of normal and malignant biological tissues.
Authors
- Vatsal Kumar (ORCID: https://orcid.org/0000-0003-1302-328X)
- Laoise M. McNamara (ORCID: https://orcid.org/0000-0002-5050-9230)
- Irish Senthilkumar (ORCID: https://orcid.org/0000-0002-7194-3685)
- Eóin McEvoy (ORCID: https://orcid.org/0000-0002-8804-8177)
- Enda Howley (ORCID: https://orcid.org/0000-0003-2687-4630)
- Jef Vangheel (ORCID: https://orcid.org/0000-0001-5899-8326)
- Bart Smeets
Institutions
- Science Foundation Ireland (IE)
- Ollscoil na Gaillimhe – University of Galway (IE)
- The Medical Device (United Kingdom) (GB)
- Center for Discovery (US)
- BioElectronics (United States) (US)
Publication Details
- Journal
- Proceedings of the National Academy of Sciences
- Published
- 2026-03-04
- DOI
- https://doi.org/10.1073/pnas.2523159123
- Primary Topic
- Mathematical Biology Tumor Growth
- Type
- article
- Field-Weighted Citation Impact
- 0.00