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dc.contributor.authorMacfarlane, Fiona R.
dc.contributor.authorLorenzi, Tommaso
dc.contributor.authorChaplain, Mark A. J.
dc.date.accessioned2019-03-13T00:38:04Z
dc.date.available2019-03-13T00:38:04Z
dc.date.issued2018-06
dc.identifier.citationMacfarlane , F R , Lorenzi , T & Chaplain , M A J 2018 , ' Modelling the immune response to cancer : an individual-based approach accounting for the difference in movement between inactive and activated T cells ' , Bulletin of Mathematical Biology , vol. 80 , no. 6 , pp. 1539-1562 . https://doi.org/10.1007/s11538-018-0412-8en
dc.identifier.issn0092-8240
dc.identifier.otherPURE: 252008755
dc.identifier.otherPURE UUID: f360e150-f218-49e0-8620-1074adce1b17
dc.identifier.otherScopus: 85043704189
dc.identifier.otherORCID: /0000-0001-5727-2160/work/55378932
dc.identifier.otherORCID: /0000-0003-2242-7745/work/60196606
dc.identifier.otherWOS: 000433002400004
dc.identifier.urihttp://hdl.handle.net/10023/17262
dc.descriptionF. R. Macfarlane funded by the Engineering and Physical Sciences Research Council (EPSRC).en
dc.description.abstractA growing body of experimental evidence indicates that immune cells move in an unrestricted search pattern if they are in the pre-activated state, whilst they tend to stay within a more restricted area upon activation induced by the presence of tumour antigens. This change in movement is not often considered in the existing mathematical models of the interactions between immune cells and cancer cells. With the aim to fill such a gap in the existing literature, in this work we present a spatially structured individual-based model of tumour–immune competition that takes explicitly into account the difference in movement between inactive and activated immune cells. In our model, a Lévy walk is used to capture the movement of inactive immune cells, whereas Brownian motion is used to describe the movement of antigen-activated immune cells. The effects of activation of immune cells, the proliferation of cancer cells and the immune destruction of cancer cells are also modelled. We illustrate the ability of our model to reproduce qualitatively the spatial trajectories of immune cells observed in experimental data of single-cell tracking. Computational simulations of our model further clarify the conditions for the onset of a successful immune action against cancer cells and may suggest possible targets to improve the efficacy of cancer immunotherapy. Overall, our theoretical work highlights the importance of taking into account spatial interactions when modelling the immune response to cancer cells.
dc.format.extent24
dc.language.isoeng
dc.relation.ispartofBulletin of Mathematical Biologyen
dc.rights© Society for Mathematical Biology 2018. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version 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/10.1007/s11538-018-0412-8en
dc.subjectCancer-immune competitionen
dc.subjectSpatial movementen
dc.subjectIndividual-based modelsen
dc.subjectLévy walken
dc.subjectBrownian motionen
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectNDASen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.subject.lccRC0254en
dc.titleModelling the immune response to cancer : an individual-based approach accounting for the difference in movement between inactive and activated T cellsen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.Applied Mathematicsen
dc.identifier.doihttps://doi.org/10.1007/s11538-018-0412-8
dc.description.statusPeer revieweden
dc.date.embargoedUntil2019-03-13


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