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dc.contributor.authorMacnamara, Cicely K.
dc.contributor.authorCaiazzo, Alfonso
dc.contributor.authorRamis-Conde, Ignacio
dc.contributor.authorChaplain, Mark Andrew Joseph
dc.date.accessioned2020-12-17T00:37:00Z
dc.date.available2020-12-17T00:37:00Z
dc.date.issued2020-02
dc.identifier.citationMacnamara , C K , Caiazzo , A , Ramis-Conde , I & Chaplain , M A J 2020 , ' Computational modelling and simulation of cancer growth and migration within a 3D heterogeneous tissue : the effects of fibre and vascular structure ' , Journal of Computational Science , vol. 40 , 101067 . https://doi.org/10.1016/j.jocs.2019.101067en
dc.identifier.issn1877-7503
dc.identifier.otherPURE: 264146346
dc.identifier.otherPURE UUID: aacceb9e-d12c-4c01-8735-9c49a5fbc1e8
dc.identifier.otherORCID: /0000-0003-4961-6052/work/66398374
dc.identifier.otherORCID: /0000-0001-5727-2160/work/66398416
dc.identifier.otherScopus: 85077114377
dc.identifier.otherWOS: 000527272600004
dc.identifier.urihttps://hdl.handle.net/10023/21169
dc.descriptionFunding: MAJC and CKM gratefully acknowledge the support of EPSRC Grant No. EP/N014642/1 (EPSRC Centre for Multiscale Soft Tissue Mechanics - With Application to Heart & Cancer).en
dc.description.abstractThe term cancer covers a multitude of bodily diseases, broadly categorised by having cells which do not behave normally. Since cancer cells can arise from any type of cell in the body, cancers can grow in or around any tissue or organ making the disease highly complex. Our research is focused on understanding the specific mechanisms that occur in the tumour microenvironment via mathematical and computational modeling. We present a 3D individual-based model which allows one to simulate the behaviour of, and spatio-temporal interactions between, cells, extracellular matrix fibres and blood vessels. Each agent (a single cell, for example) is fully realised within the model and interactions are primarily governed by mechanical forces between elements. However, as well as the mechanical interactions we also consider chemical interactions, for example, by coupling the code to a finite element solver to model the diffusion of oxygen from blood vessels to cells. The current state of the art of the model allows us to simulate tumour growth around an arbitrary blood-vessel network or along the striations of fibrous tissue.
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofJournal of Computational Scienceen
dc.rightsCopyright © 2019 Elsevier B.V. All rights reserved. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1016/j.jocs.2019.101067en
dc.subjectCancer modellingen
dc.subjectIndividual-based modelen
dc.subjectCell-matrix interactionen
dc.subjectVasculatureen
dc.subjectFinite element methoden
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQH301 Biologyen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectT-NDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccQA75en
dc.subject.lccQH301en
dc.subject.lccRC0254en
dc.titleComputational modelling and simulation of cancer growth and migration within a 3D heterogeneous tissue : the effects of fibre and vascular structureen
dc.typeJournal articleen
dc.contributor.sponsorEPSRCen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Applied Mathematicsen
dc.identifier.doihttps://doi.org/10.1016/j.jocs.2019.101067
dc.description.statusPeer revieweden
dc.date.embargoedUntil2020-12-17
dc.identifier.grantnumberEP/N014642/1en


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