ArticlePLoS computational biology2017
A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Bridging tumor biology and radiomics through an ultra-large physics-driven vascular model.npj biomedical innovations · 2026Article
- Systems biology during 20 years of PLoS Computational Biology.PLoS computational biology · 2026Article
- Analytical and numerical properties of an extended angiogenesis PDEs model.Journal of mathematical biology · 2025Article
- Biomarkers of mRNA vaccine efficacy derived from mechanistic modeling of tumor-immune interactions.PLoS computational biology · 2025Article
- Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer.Nature reviews. Cancer · 2025Review
- Validating the predictions of mathematical models describing tumor growth and treatment response.ArXiv · 2025Article
- Role of vascular endothelium and exosomes in cancer progression and therapy (Review).International journal of oncology · 2025Review
- Mechanical forces inducing oxaliplatin resistance in pancreatic cancer can be targeted by autophagy inhibition.Communications biology · 2024Article
- AMBER: A Modular Model for Tumor Growth, Vasculature and Radiation Response.Bulletin of mathematical biology · 2024Article
- A convolutional attention model for predicting response to chemo-immunotherapy from ultrasound elastography in mouse tumor models.Communications medicine · 2024Article
- Stabilizing Tumor-Resident Mast Cells Restores T-Cell Infiltration and Sensitizes Sarcomas to PD-L1 Inhibition.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Article
- Enhanced perfusion following exposure to radiotherapy: A theoretical investigation.PLoS computational biology · 2024Article
- Metachromin C, a marine-derived natural compound, shows potential in antitumor activity.International journal of medical sciences · 2024Article
- Hybrid model of tumor growth, angiogenesis and immune response yields strategies to improve antiangiogenic therapy.npj biological physics and mechanics · 2024Article
- Computational simulations of tumor growth and treatment response: Benefits of high-frequency, low-dose drug regimens and concurrent vascular normalization.PLoS computational biology · 2023Article
- Image-based angio-adaptation modelling: a playground to study cerebrovascular development.Frontiers in physiology · 2023Article
- COMMBINI: an experimentally-informed COmputational Model of Macrophage dynamics in the Bone INjury Immunoresponse.Frontiers in immunology · 2023Article
- Applied Electric Fields Polarize Initiation and Growth of Endothelial Sprouts.Journal of tissue engineering and regenerative medicine · 2023Article
- Convection-Enhanced DeliveryFrontiers in bioengineering and biotechnology · 2022Article
- Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data.Cancers · 2021Review
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6 authors.
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Abstract
Vascularisation is a key feature of cancer growth, invasion and metastasis. To better understand the governing biophysical processes and their relative importance, it is instructive to develop physiologically representative mathematical models with which to compare to experimental data. Previous studies have successfully applied this approach to test the effect of various biochemical factors on tumour growth and angiogenesis. However, these models do not account for the experimentally observed dependency of angiogenic network evolution on growth-induced solid stresses. This work introduces two novel features: the effects of hapto- and mechanotaxis on vessel sprouting, and mechano-sensitive dynamic vascular remodelling. The proposed three-dimensional, multiscale, in-silico model of dynamically coupled angiogenic tumour growth is specified to in-vivo and in-vitro data, chosen, where possible, to provide a physiologically consistent description. The model is then validated against in-vivo data from murine mammary carcinomas, with particular focus placed on identifying the influence of mechanical factors. Crucially, we find that it is necessary to include hapto- and mechanotaxis to recapitulate observed time-varying spatial distributions of angiogenic vasculature.
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