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Minimal Morphoelastic Models of Solid Tumour Spheroids: A Tutorial.
Walker, Benjamin J; Celora, Giulia L; Goriely, Alain; Moulton, Derek E; Byrne, Helen M.
Afiliação
  • Walker BJ; Department of Mathematical Sciences, University of Bath, Claverton Down, Bath, BA2 7AY, UK. bjw43@bath.ac.uk.
  • Celora GL; Department of Mathematics, University College London, Gordon Street, London, WC1H 0AY, UK. bjw43@bath.ac.uk.
  • Goriely A; Department of Mathematics, University College London, Gordon Street, London, WC1H 0AY, UK.
  • Moulton DE; Mathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6GG, UK.
  • Byrne HM; Mathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6GG, UK.
Bull Math Biol ; 85(5): 38, 2023 03 29.
Article em En | MEDLINE | ID: mdl-36991173
ABSTRACT
Tumour spheroids have been the focus of a variety of mathematical models, ranging from Greenspan's classical study of the 1970 s through to contemporary agent-based models. Of the many factors that regulate spheroid growth, mechanical effects are perhaps some of the least studied, both theoretically and experimentally, though experimental enquiry has established their significance to tumour growth dynamics. In this tutorial, we formulate a hierarchy of mathematical models of increasing complexity to explore the role of mechanics in spheroid growth, all the while seeking to retain desirable simplicity and analytical tractability. Beginning with the theory of morphoelasticity, which combines solid mechanics and growth, we successively refine our assumptions to develop a somewhat minimal model of mechanically regulated spheroid growth that is free from many unphysical and undesirable behaviours. In doing so, we will see how iterating upon simple models can provide rigorous guarantees of emergent behaviour, which are often precluded by existing, more complex modelling approaches. Perhaps surprisingly, we also demonstrate that the final model considered in this tutorial agrees favourably with classical experimental results, highlighting the potential for simple models to provide mechanistic insight whilst also serving as mathematical examples.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esferoides Celulares / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Bull Math Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esferoides Celulares / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Bull Math Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido
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