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hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorLEFEBVRE, Guillaume
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierCHU de Bordeaux Pellegrin [Bordeaux]
dc.contributor.authorCORNELIS, François
hal.structure.identifierCentre de modélisation mathématique / Centro de Modelamiento Matemático [Santiago] [CMM]
hal.structure.identifierUniversidad del Bio Bio [Concepción] [UBB]
dc.contributor.authorCUMSILLE, Patricio
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorCOLIN, Thierry
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorPOIGNARD, Clair
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorSAUT, Olivier
dc.date.accessioned2024-04-04T03:15:43Z
dc.date.available2024-04-04T03:15:43Z
dc.date.created2014
dc.date.issued2014-12-01
dc.identifier.issn1477-8599
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194165
dc.description.abstractEnThis work is devoted to modeling gastrointestinal stromal tumor (GIST) metastases to the liver, their growth and resistance to therapies. More precisely, resistance to two standard treatments based ontyrosine kinase inhibitors (imatinib and sunitinib) is observed clinically. Using observations from medical images, we build a spatial model consisting in a set of nonlinear partial differential equations. After calibration of its parameters with clinical data, this model reproduces qualitatively and quantitatively the spatial tumor evolution of one specific patient. Important features of the growth such as the appearance of spatial heterogeneities and the therapeutical failures may be explained by our model. We then investigate numerically the possibility of optimizing the treatment in order to increase the progression free survival time and the minimum tumor size reachable by varying the dose of the first treatment. We find that according to our model, the progression free survival timereaches a plateau with respect to this dose. We also demonstrate numerically that the spatial structure of thetumor may provide much more insights on the cancer cell activities thanthe standard RECIST criteria, which only consists in the measurementof the tumor diameter.
dc.language.isoen
dc.publisherOxford University Press (OUP)
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enresistance and relapse
dc.subject.enmathematical modeling
dc.subject.entreatments
dc.subject.ennumerical simulations
dc.subject.enGIST metastases
dc.title.enSpatial Modeling of Tumor Drug Resistance: the case of GIST Liver Metastases
dc.typeArticle de revue
dc.identifier.doi10.1093/imammb/dqw002
dc.subject.halSciences du Vivant [q-bio]/Cancer
dc.subject.halMathématiques [math]/Equations aux dérivées partielles [math.AP]
bordeaux.journalMathematical Medicine and Biology
bordeaux.page26
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01089452
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01089452v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Mathematical%20Medicine%20and%20Biology&rft.date=2014-12-01&rft.spage=26&rft.epage=26&rft.eissn=1477-8599&rft.issn=1477-8599&rft.au=LEFEBVRE,%20Guillaume&CORNELIS,%20Fran%C3%A7ois&CUMSILLE,%20Patricio&COLIN,%20Thierry&POIGNARD,%20Clair&rft.genre=article


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