Identification of Crucial Parameters in a Mathematical Multiscale Model of Glioblastoma Growth

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dc.contributor.utaustinauthorMang, Andreasen_US
dc.creatorSchuetz, Tina A.en_US
dc.creatorMang, Andreasen_US
dc.creatorBecker, Stefanen_US
dc.creatorToma, Alinaen_US
dc.creatorBuzug, Thorsten M.en_US
dc.date.accessioned2016-09-23T18:06:56Z
dc.date.available2016-09-23T18:06:56Z
dc.date.issued2014-01en_US
dc.description.abstractGlioblastomas are highly malignant brain tumours. Mathematical models and their analysis provide a tool to support the understanding of the development of these tumours as well as the design of more effective treatment strategies. We have previously developed a multiscale model of glioblastoma progression that covers processes on the cellular and molecular scale. Here, we present a novel nutrient-dependent multiscale sensitivity analysis of this model that helps to identify those reaction parameters of the molecular interaction network that influence the tumour progression on the cellular scale the most. In particular, those parameters are identified that essentially determine tumour expansion and could be therefore used as potential therapy targets. As indicators for the success of a potential therapy target, a deceleration of the tumour expansion and a reduction of the tumour volume are employed. From the results, it can be concluded that no single parameter variation results in a less aggressive tumour. However, it can be shown that a few combined perturbations of two systematically selected parameters cause a slow-down of the tumour expansion velocity accompanied with a decrease of the tumour volume. Those parameters are primarily linked to the reactions that involve the microRNA-451 and the thereof regulated protein MO25.en_US
dc.description.departmentComputational Science, Engineering, and Mathematicsen_US
dc.description.sponsorshipMang, Andreasen_US
dc.identifierdoi:10.15781/T2154DQ4X
dc.identifier.citationSchuetz, Tina A., Andreas Mang, Stefan Becker, Alina Toma, and Thorsten M. Buzug. "Identification of crucial parameters in a mathematical multiscale model of glioblastoma growth." Computational and mathematical methods in medicine 2014 (Jan., 2014)en_US
dc.identifier.doi10.1155/2014/437094en_US
dc.identifier.issn1748-670Xen_US
dc.identifier.urihttp://hdl.handle.net/2152/41133
dc.language.isoEnglishen_US
dc.relation.ispartofen_US
dc.relation.ispartofserialComputational and Mathematical Methods in Medicineen_US
dc.rightsAdministrative deposit of works to Texas ScholarWorks: This works author(s) is or was a University faculty member, student or staff member; this article is already available through open access or the publisher allows a PDF version of the article to be freely posted online. The library makes the deposit as a matter of fair use (for scholarly, educational, and research purposes), and to preserve the work and further secure public access to the works of the University.en_US
dc.rights.restrictionOpenen_US
dc.subjectactivated protein-kinaseen_US
dc.subjectmulticellular patternsen_US
dc.subjectsensitivity-analysisen_US
dc.subjectcancer modelen_US
dc.subjectbrain-tumorsen_US
dc.subjectgliomaen_US
dc.subjectmicroenvironmenten_US
dc.subjectmicrorna-451en_US
dc.subjectdeformationen_US
dc.subjectsimulationen_US
dc.subjectmathematical & computational biologyen_US
dc.titleIdentification of Crucial Parameters in a Mathematical Multiscale Model of Glioblastoma Growthen_US
dc.typeArticleen_US

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