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dc.contributor.authorSfakianakis, Nikolaos
dc.contributor.authorMadzvamuse, Anotida
dc.contributor.authorChaplain, Mark Andrew Joseph
dc.date.accessioned2020-01-30T11:30:04Z
dc.date.available2020-01-30T11:30:04Z
dc.date.issued2020
dc.identifier.citationSfakianakis , N , Madzvamuse , A & Chaplain , M A J 2020 , ' A hybrid multiscale model for cancer invasion of the extracellular matrix ' , Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal , vol. 18 , no. 2 , pp. 824–850 . https://doi.org/10.1137/18M1189026en
dc.identifier.issn1540-3459
dc.identifier.otherPURE: 266046326
dc.identifier.otherPURE UUID: 835e0e06-5b9e-445d-8ade-37870a4076cb
dc.identifier.otherWOS: 000545933400011
dc.identifier.otherORCID: /0000-0001-5727-2160/work/79918205
dc.identifier.otherORCID: /0000-0002-2675-6338/work/79918402
dc.identifier.otherScopus: 85090428882
dc.identifier.urihttp://hdl.handle.net/10023/19387
dc.descriptionFunding: Partly funded from the German Science Foundation (DFG) under the grant SFB 873: “Maintenance and Differentiation of Stem Cells in Development and Disease” (NS). Partly supported by funding from the European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642866, the Commission for Developing Countries; partially supported by a grant from the Simons Foundation (AM). Isaac Newton Institute for Mathematical Sciences for hospitality during the programme [Coupling Geometric PDEs with Physics for Cell Morphology, Motility and Pattern Formation] supported by EPSRC Grant Number EP/K032208/1.en
dc.description.abstractThe ability to locally degrade the extracellular matrix (ECM) and interact with the tumor microenvironment is a key process distinguishing cancer cells from normal cells, and is a critical step in the metastatic spread of the tumor. The invasion of the surrounding tissue involves the coordinated action of the cancer cells, the ECM, the matrix degrading enzymes, and the epithelial-to-mesenchymal transition. In this paper, we present a mathematical model which describes the transition from an epithelial invasion strategy of the epithelial-like cells (ECs) to an individual invasion strategy for the mesenchymal-like cells (MCs). We achieve this by formulating a genuinely multiscale and hybrid system consisting of partial and stochastic differential equations that describe the evolution of the ECs and the MCs while accounting for the transitions between them. This approach allows one to reproduce, in a very natural way, fundamental qualitative features of the current biomedical understanding of cancer invasion that are not easily captured by classical modelling approaches, for example, the invasion of the ECM by self-generated gradients, and the formation of EC invasion islands outside of the main body of the tumor.
dc.language.isoeng
dc.relation.ispartofMultiscale Modeling and Simulation: A SIAM Interdisciplinary Journalen
dc.rightsCopyright © 2020, Society for Industrial and Applied Mathematics. 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/10.1137/18M1189026en
dc.subjectCancer invasionen
dc.subjectMultiscale modellingen
dc.subjectHybrid continuum-discreteen
dc.subjectCoupled partial and stochastic partial differential equationsen
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectT-DASen
dc.subjectBDCen
dc.subjectR2Cen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.subject.lccRC0254en
dc.titleA hybrid multiscale model for cancer invasion of the extracellular matrixen
dc.typeJournal articleen
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/10.1137/18M1189026
dc.description.statusPeer revieweden
dc.identifier.urlhttps://epubs.siam.org/doi/suppl/10.1137/18M1189026en


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