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Tumor growth monitoring in breast cancer xenografts: A good technique for a strong ethic

hal.structure.identifierMéthodes computationnelles pour la prise en charge thérapeutique en oncologie : Optimisation des stratégies par modélisation mécaniste et statistique [COMPO]
hal.structure.identifierSimulation and Modeling of Adaptive Response for Therapeutics in Cancer [SMARTc]
dc.contributor.authorRODALLEC, Anne
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorVAGHI, Cristina
hal.structure.identifierMéthodes computationnelles pour la prise en charge thérapeutique en oncologie : Optimisation des stratégies par modélisation mécaniste et statistique [COMPO]
hal.structure.identifierAssistance Publique - Hôpitaux de Marseille [APHM]
dc.contributor.authorCICCOLINI, Joseph
hal.structure.identifierMéthodes computationnelles pour la prise en charge thérapeutique en oncologie : Optimisation des stratégies par modélisation mécaniste et statistique [COMPO]
hal.structure.identifierAssistance Publique - Hôpitaux de Marseille [APHM]
dc.contributor.authorFANCIULLINO, Raphaëlle
hal.structure.identifierMéthodes computationnelles pour la prise en charge thérapeutique en oncologie : Optimisation des stratégies par modélisation mécaniste et statistique [COMPO]
dc.contributor.authorBENZEKRY, Sebastien
dc.date.accessioned2024-04-04T02:31:57Z
dc.date.available2024-04-04T02:31:57Z
dc.date.issued2022-09-30
dc.identifier.issn1932-6203
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190342
dc.description.abstractEnPurpose Although recent regulations improved conditions of laboratory animals, their use remains essential in cancer research to determine treatment efficacy. In most cases, such experiments are performed on xenografted animals for which tumor volume is mostly estimated from caliper measurements. However, many formulas have been employed for this estimation and no standardization is available yet. Methods Using previous animal studies, we compared all formulas used by the scientific community in 2019. Data were collected from 93 mice orthotopically xenografted with human breast cancer cells. All formulas were evaluated and ranked based on correlation and lower mean relative error. They were then used in a Gompertz quantitative model of tumor growth. Results Seven formulas for tumor volume estimation were identified and a statistically significant difference was observed among them (ANOVA test, p < 2.10 −16 ), with the ellipsoid formula (1/6 π × L × W × (L + W)/2) being the most accurate (mean relative error = 0.272 ± 0.201). This was confirmed by the mathematical modeling analysis where this formula resulted in the smallest estimated residual variability. Interestingly, such result was no longer valid for tumors over 1968 ± 425 mg, for which a cubic formula (L x W x H) should be preferred. Main findings When considering that tumor volume remains under 1500mm 3 , to limit animal stress, improve tumor growth monitoring and go toward mathematic models, the following formula 1/6 π × L × W x (L + W)/2 should be preferred.
dc.language.isoen
dc.publisherPublic Library of Science
dc.title.enTumor growth monitoring in breast cancer xenografts: A good technique for a strong ethic
dc.typeArticle de revue
dc.identifier.doi10.1371/journal.pone.0274886
dc.subject.halSciences du Vivant [q-bio]/Cancer
bordeaux.journalPLoS ONE
bordeaux.pagee0274886
bordeaux.volume17
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue9
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03924541
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03924541v1
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.jtitle=PLoS%20ONE&amp;rft.date=2022-09-30&amp;rft.volume=17&amp;rft.issue=9&amp;rft.spage=e0274886&amp;rft.epage=e0274886&amp;rft.eissn=1932-6203&amp;rft.issn=1932-6203&amp;rft.au=RODALLEC,%20Anne&amp;VAGHI,%20Cristina&amp;CICCOLINI,%20Joseph&amp;FANCIULLINO,%20Rapha%C3%ABlle&amp;BENZEKRY,%20Sebastien&amp;rft.genre=article


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