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A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth
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 stu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268362/ https://www.ncbi.nlm.nih.gov/pubmed/28125582 http://dx.doi.org/10.1371/journal.pcbi.1005259 |
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author | Vavourakis, Vasileios Wijeratne, Peter A. Shipley, Rebecca Loizidou, Marilena Stylianopoulos, Triantafyllos Hawkes, David J. |
author_facet | Vavourakis, Vasileios Wijeratne, Peter A. Shipley, Rebecca Loizidou, Marilena Stylianopoulos, Triantafyllos Hawkes, David J. |
author_sort | Vavourakis, Vasileios |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5268362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52683622017-02-17 A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth Vavourakis, Vasileios Wijeratne, Peter A. Shipley, Rebecca Loizidou, Marilena Stylianopoulos, Triantafyllos Hawkes, David J. PLoS Comput Biol Research Article 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. Public Library of Science 2017-01-26 /pmc/articles/PMC5268362/ /pubmed/28125582 http://dx.doi.org/10.1371/journal.pcbi.1005259 Text en © 2017 Vavourakis et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Vavourakis, Vasileios Wijeratne, Peter A. Shipley, Rebecca Loizidou, Marilena Stylianopoulos, Triantafyllos Hawkes, David J. A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth |
title | A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth |
title_full | A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth |
title_fullStr | A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth |
title_full_unstemmed | A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth |
title_short | A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth |
title_sort | validated multiscale in-silico model for mechano-sensitive tumour angiogenesis and growth |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268362/ https://www.ncbi.nlm.nih.gov/pubmed/28125582 http://dx.doi.org/10.1371/journal.pcbi.1005259 |
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