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Spatial modelling of tumour drug resistance: the case of GIST liver metastases Mathematical Medicine and Biology Advance

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorLEFEBVRE, Guillaume
hal.structure.identifierCHU de Bordeaux Pellegrin [Bordeaux]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorCORNELIS, François
hal.structure.identifierCentre for Biotechnology and Bioengineering [Santiago] [CeBiB]
hal.structure.identifierGroup of investigation in tumor angiogenesis [Concepción] [GIANT]
hal.structure.identifierGroup of applied mathematics [Concepción] [GMA]
dc.contributor.authorCUMSILLE, Patricio
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.accessioned2024-04-04T03:13:28Z
dc.date.available2024-04-04T03:13:28Z
dc.date.issued2016
dc.identifier.issn1477-8599
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193951
dc.description.abstractEnThis work is devoted to modelling gastrointestinal stromal tumour metastases to the liver, their growth and resistance to therapies. More precisely, resistance to two standard treatments based on tyrosine kinase inhibitors (imatinib and sunitinib) is observed clinically. Using observations from medical images (CT scans), we build a spatial model consisting in a set of non-linear partial differential equations. After calibration of its parameters with clinical data, this model reproduces qualitatively and quantitatively the spatial tumour 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 terms of progression-free survival time and minimum tumour size reachable by varying the dose of the first treatment. We find that according to our model, the progression-free survival time reaches a plateau with respect to this dose. We also demonstrate numerically that the spatial structure of the tumour may provide much more insights on the cancer cell activities than the standard RECIST criteria, which only consists in the measurement of the tumour diameter. Finally, we discuss on the non-predictivity of the model using only CT scans, in the sense that the early behaviour of the lesion is not sufficient to predict the response to the treatment.
dc.description.sponsorshipTranslational Research and Advanced Imaging Laboratory - ANR-10-LABX-0057
dc.description.sponsorshipInitiative d'excellence de l'Université de Bordeaux - ANR-10-IDEX-0003
dc.language.isoen
dc.publisherOxford University Press (OUP)
dc.subject.entumour growth modelling
dc.subject.enpartial differential equations
dc.subject.encancer
dc.subject.endrug resistance
dc.subject.entumour heterogeneity
dc.title.enSpatial modelling of tumour drug resistance: the case of GIST liver metastases Mathematical Medicine and Biology Advance
dc.typeArticle de revue
dc.identifier.doi10.1093/imammb/dqw002
dc.subject.halMathématiques [math]/Equations aux dérivées partielles [math.AP]
bordeaux.journalMathematical Medicine and Biology
bordeaux.page1 - 26
bordeaux.volume00
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01380292
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01380292v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Mathematical%20Medicine%20and%20Biology&rft.date=2016&rft.volume=00&rft.spage=1%20-%2026&rft.epage=1%20-%2026&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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