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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/140336
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dc.contributor.authorPinho, Suani Tavares Rubim-
dc.contributor.authorRodrigues, Diego Samuel-
dc.contributor.authorMancera, Paulo Fernando de Arruda-
dc.date.accessioned2016-07-07T12:33:22Z-
dc.date.accessioned2016-10-25T21:43:28Z-
dc.date.available2016-07-07T12:33:22Z-
dc.date.available2016-10-25T21:43:28Z-
dc.date.issued2011-
dc.identifierhttp://www.math.ualberta.ca/ami/CAMQ/table_of_content/vol_19/19_4e.htm-
dc.identifier.citationThe Canadian Applied Mathematics Quarterly, v. 19, n. 4, p. 369-384, 2011.-
dc.identifier.issn1073-1849-
dc.identifier.urihttp://hdl.handle.net/11449/140336-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/140336-
dc.description.abstractA simple mathematical model, developed to simulate the chemotherapy response to tumour growth with stabilized vascularization, is presented as a system of three differential equations associated with the normal cells, cancer cells and chemotherapy agent. Cancer cells and normal cells compete by available resources. The response to chemotherapy killing action on both normal and cancer cells obey MichaelisMenten saturation function on the chemotherapy agent. Our aim is to investigate the efficiency of the chemotherapy in order to eliminate the cancer cells. For that, we analyse the local stability of the equilibria and the global stability of the cure equilibrium for which there is no cancer cells. We show that there is a region of parameter space that the chemotherapy may eliminate the tumour for any initial conditions. Based on numerical simulations, we present the bifurcation diagram in terms of the infusion rate and the killing action on cancer cells, that exhibit, for which infusion conditions, the system evolves to the cure state.en
dc.format.extent369-384-
dc.language.isoeng-
dc.sourceCurrículo Lattes-
dc.subjectChemotherapyen
dc.subjectMathematical modelen
dc.subjectTumour growthen
dc.titleA mathematical model of chemotherapy response to tumour growthen
dc.typeoutro-
dc.contributor.institutionUniversidade Federal da Bahia (UFBA)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.description.affiliationInstituto de Física, Universidade Federal da Bahia, Campus Universitário de Ondina, 40210-340, Salvador, Brasil-
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Bioestatística, Instituto de Biociências, Botucatu, Profa Irina Delanova Gemtchujnicóv, Rubião Jr., CEP 18618970, SP, Brasil-
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Bioestatística, Instituto de Biociências, Botucatu, Profa Irina Delanova Gemtchujnicóv, Rubião Jr., CEP 18618970, SP, Brasil-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofThe Canadian Applied Mathematics Quarterly-
dc.identifier.orcid0000-0002-2080-8053pt
dc.identifier.lattes8759433096443130-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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