A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth

• Published in: PLoS computational biology Vol. 13; no. 1; p. e1005259
• Main Authors: Vavourakis, Vasileios, Wijeratne, Peter A., Shipley, Rebecca, Loizidou, Marilena, Stylianopoulos, Triantafyllos, Hawkes, David J.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.01.2017; Public Library of Science (PLoS)
• Subjects: Angiogenesis; Animals; Biology and Life Sciences; Biomechanics; Biomedical engineering; Blood Flow Velocity; Blood Pressure; Cancer; Cell Proliferation; Computer Simulation; Engineering; Funding; Health aspects; Health physics; Humans; Mathematical models; Mechanotransduction, Cellular; Medicine and Health Sciences; Metastasis; Models, Biological; Neoplasms - pathology; Neoplasms - physiopathology; Neovascularization; Neovascularization, Pathologic - pathology; Neovascularization, Pathologic - physiopathology; Observations; Physical Sciences; Physics; Shear Strength; Simulation; Spatial distribution; Stress, Mechanical; Tumor Microenvironment - physiology; Tumors; University colleges
• ISSN: 1553-7358; 1553-734X; 1553-7358
• DOI: 10.1371/journal.pcbi.1005259

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.