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dc.contributor.authorLorenzi, Tommaso
dc.contributor.authorMarciniak-Czochra, Anna
dc.contributor.authorStiehl, Thomas
dc.date.accessioned2020-07-25T23:37:01Z
dc.date.available2020-07-25T23:37:01Z
dc.date.issued2019-07-26
dc.identifier.citationLorenzi , T , Marciniak-Czochra , A & Stiehl , T 2019 , ' A structured population model of clonal selection in acute leukemias with multiple maturation stages ' , Journal of Mathematical Biology , vol. First Online . https://doi.org/10.1007/s00285-019-01404-wen
dc.identifier.issn0303-6812
dc.identifier.otherPURE: 259622400
dc.identifier.otherPURE UUID: 3687a6af-f788-4a38-a346-70cde88aa281
dc.identifier.otherArXiv: http://arxiv.org/abs/1907.02842v1
dc.identifier.otherScopus: 85069695251
dc.identifier.otherWOS: 000491549200001
dc.identifier.urihttp://hdl.handle.net/10023/20338
dc.descriptionFunding: TS and AM-C were supported by research funding from the German Research Foundation DFG (SFB 873; subproject B08). TL gratefully acknowledges support from the Heidelberg Graduate School (HGS).en
dc.description.abstractRecent progress in genetic techniques has shed light on the complex co-evolution of malignant cell clones in leukemias. However, several aspects of clonal selection still remain unclear. In this paper, we present a multi-compartmental continuously structured population model of selection dynamics in acute leukemias, which consists of a system of coupled integro-differential equations. Our model can be analysed in a more efficient way than classical models formulated in terms of ordinary differential equations. Exploiting the analytical tractability of this model, we investigate how clonal selection is shaped by the self-renewal fraction and the proliferation rate of leukemic cells at different maturation stages. We integrate analytical results with numerical solutions of a calibrated version of the model based on real patient data. In summary, our mathematical results formalise the biological notion that clonal selection is driven by the self-renewal fraction of leukemic stem cells and the clones that possess the highest value of this parameter are ultimately selected. Moreover, we demonstrate that the self-renewal fraction and the proliferation rate of non-stem cells do not have a substantial impact on clonal selection. Taken together, our results indicate that interclonal variability in the self-renewal fraction of leukemic stem cells provides the necessary substrate for clonal selection to act upon.
dc.format.extent35
dc.language.isoeng
dc.relation.ispartofJournal of Mathematical Biologyen
dc.rights© 2019, Springer-Verlag GmbH Germany, part of Springer Nature. 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 as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1007/s00285-019-01404-wen
dc.subjectAcute Leukemiaen
dc.subjectClonal selectionen
dc.subjectContinuously structured population modelsen
dc.subjectIntegro-differential equationsen
dc.subjectAsymptotic analysisen
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectT-DASen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.subject.lccRC0254en
dc.titleA structured population model of clonal selection in acute leukemias with multiple maturation stagesen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.Applied Mathematicsen
dc.identifier.doihttps://doi.org/10.1007/s00285-019-01404-w
dc.description.statusPeer revieweden
dc.date.embargoedUntil2020-07-26


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