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dc.contributor.authorGevertz, Jana L.en_US
dc.date.accessioned2015-06-25T14:15:44Z
dc.date.available2015-06-25T14:15:44Z
dc.date.issued2012
dc.identifier.citationGevertz J. (2012). Optimization of vascular-targeting drugs in a computational model of tumor growth. Phys Rev E Stat Nonlin Soft Matter Phys 85 (4 Pt 1).en_US
dc.identifier.urihttp://dx.doi.org/10.1103/PhysRevE.85.041914
dc.description.abstractA biophysical tool is introduced that seeks to provide a theoretical basis for helping drug design teams assess the most promising drug targets and design optimal treatment strategies. The tool is grounded in a previously validated computational model of the feedback that occurs between growing tumor and the evolving vasculature. In this paper, the model is particularly used to explore the therapeutic effectiveness of two drugs that target the tumor vasculature: angiogenesis inhibitors (AIs) and vascular disrupting agents (VDAs). Using sensitivity analyses, the impact of VDA dosing parameters is explored, as is the effects of administering a VDA with an Al. Further, a stochastic optimization scheme is utilized to identify an optimal dosing schedule for treatment with an Al and a chemotherapeutic. The treatment regimen identified can successfully halt simulated tumor growth, even after the cessation of therapy.en_US
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.titleOptimization of vascular-targeting drugs in a computational model of tumor growthen_US
dc.typeArticleen_US
dc.typeTexten_US
prism.publicationNamePhysical Review Een_US
prism.volume85
dc.identifier.handlehttps://dr.tcnj.edu/handle/2900/153


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