Macnamara, C. (2021) Biomechanical modelling of cancer: Agent‐based force‐based models of solid tumours within the context of the tumour microenvironment. Computational and Systems Oncology, 1(2), e1018. (doi: 10.1002/cso2.1018)
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Abstract
Once cancer is initiated, with normal cells mutated into malignant ones, a solid tumour grows, develops and spreads within its microenvironment invading the local tissue; the disease progresses and the cancer cells migrate around the body leading to metastasis, the formation of distant secondary tumours. Interactions between the tumour and its microenvironment drive this cascade of events which have devastating, if not fatal, consequences for the human host/patient. Among these interactions, biomechanical interactions are a vital component. In this review paper, key biomechanical relationships are discussed through a presentation of modelling efforts by the mathematical and computational oncology community. The main focus is directed, naturally, towards lattice-free agent-based, force-based models of solid tumour growth and development. In such models, interactions between pairs of cancer cells (as well as between cells and other structures of the tumour microenvironment) are governed by forces. These forces are ones of repulsion and adhesion, and are typically modelled via either an extended Hertz model of contact mechanics or using Johnson–Kendal–Roberts theory, both of which are discussed here. The role of the extracellular matrix in determining disease progression is outlined along with important cell-vessel interactions which combined together account for a great proportion of Hanahan and Weinberg's Hallmarks of Cancer.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Macnamara, Dr Cicely |
| Authors: | Macnamara, C. |
| College/School: | College of Science and Engineering > School of Mathematics and Statistics > Mathematics |
| Journal Name: | Computational and Systems Oncology |
| Publisher: | Wiley |
| ISSN: | 2689-9655 |
| ISSN (Online): | 2689-9655 |
| Published Online: | 18 May 2021 |
| Copyright Holders: | Copyright © 2021 The Authors |
| First Published: | First published in Computational and Systems Oncology 1(2):e1018 |
| Publisher Policy: | Reproduced under a Creative Commons Licence |
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