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Capturing the Driving Role of Tumor-Host Crosstalk in a Dynamical Model of Tumor Growth

hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorBENZEKRY, Sebastien
hal.structure.identifierCenter of Cancer and Systems Biology [CCSB]
dc.contributor.authorBEHESHTI, Afshin
hal.structure.identifierCenter of Cancer and Systems Biology [CCSB]
dc.contributor.authorHAHNFELDT, Philip
hal.structure.identifierCenter of Cancer and Systems Biology [CCSB]
dc.contributor.authorHLATKY, Lynn
dc.date.accessioned2024-04-04T03:17:06Z
dc.date.available2024-04-04T03:17:06Z
dc.date.created2015
dc.date.issued2015-11
dc.identifier.issn2331-8325
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194279
dc.description.abstractEnIn 1999, Hahnfeldt et al. [1] proposed a mathematical model for tumor growth as dictated by reciprocal communications between tumor and its associated vasculature, introducing the idea that a tumor is supported by a dynamic, rather than a static, carrying capacity. In this original paper, the carrying capacity was equated with the variable tumor vascular support resulting from the net effect of tumor-derived angiogenesis stimulators and inhibitors. This dynamic carrying capacity model was further abstracted and developed in our recent publication to depict the more general situation where there is an interaction between the tumor and its supportive host tissue; in that case, as a function of host aging [2]. This allowed us to predict a range of host changes that may be occurring with age that impact tumor dynamics. More generally, the basic formalism described here can be (and has been), extended to the therapeutic context using additional optimization criteria [3]. The model depends on three parameters: one for the tumor cell proliferation kinetics, one for the stimulation of the stromal support, and one for its inhibition, as well as two initial conditions. We describe here the numerical method to estimate these parameters from longitudinal tumor volume measurements.
dc.description.sponsorshipInitiative d'excellence de l'Université de Bordeaux - ANR-10-IDEX-0003
dc.language.isoen
dc.publisherBio-protocol LCC
dc.rights.urihttp://creativecommons.org/licenses/by-nc/
dc.subject.meshTumor growth; Nonlinear regression; Cancer modeling
dc.title.enCapturing the Driving Role of Tumor-Host Crosstalk in a Dynamical Model of Tumor Growth
dc.typeArticle de revue
dc.subject.halSciences du Vivant [q-bio]/Cancer
dc.subject.halStatistiques [stat]/Applications [stat.AP]
bordeaux.journalBio-protocol
bordeaux.volume5
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue21
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01222068
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01222068v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Bio-protocol&rft.date=2015-11&rft.volume=5&rft.issue=21&rft.eissn=2331-8325&rft.issn=2331-8325&rft.au=BENZEKRY,%20Sebastien&BEHESHTI,%20Afshin&HAHNFELDT,%20Philip&HLATKY,%20Lynn&rft.genre=article


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