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The role of viral infectivity in oncolytic virotherapy outcomes: A mathematical study

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dc.contributor.authorPooladvand, Pantea-
dc.contributor.authorYun, Chae-Ok-
dc.contributor.authorYoon, A-Rum-
dc.contributor.authorKim, Peter S.-
dc.contributor.authorFrascoli, Federico-
dc.date.accessioned2021-07-30T04:45:09Z-
dc.date.available2021-07-30T04:45:09Z-
dc.date.created2021-07-14-
dc.date.issued2021-04-
dc.identifier.issn0025-5564-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/1262-
dc.description.abstractA model capturing the dynamics between virus and tumour cells in the context of oncolytic virotherapy is presented and analysed. The ability of the virus to be internalised by uninfected cells is described by an infectivity parameter, which is inferred from available experimental data. The parameter is also able to describe the effects of changes in the tumour environment that affect viral uptake from tumour cells. Results show that when a virus is inoculated inside a growing tumour, strategies for enhancing infectivity do not lead to a complete eradication of the tumour. Within typical times of experiments and treatments, we observe the onset of oscillations, which always prevent a full destruction of the tumour mass. These findings are in good agreement with available laboratory results. Further analysis shows why a fully successful therapy cannot exist for the proposed model and that care must be taken when designing and engineering viral vectors with enhanced features. In particular, bifurcation analysis reveals that creating longer lasting virus particles or using strategies for reducing infected cell lifespan can cause unexpected and unwanted surges in the overall tumour load over time. Our findings suggest that virotherapy alone seems unlikely to be effective in clinical settings unless adjuvant strategies are included.-
dc.language영어-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE INC-
dc.titleThe role of viral infectivity in oncolytic virotherapy outcomes: A mathematical study-
dc.typeArticle-
dc.contributor.affiliatedAuthorYun, Chae-Ok-
dc.identifier.doi10.1016/j.mbs.2020.108520-
dc.identifier.scopusid2-s2.0-85101875404-
dc.identifier.wosid000632848000001-
dc.identifier.bibliographicCitationMATHEMATICAL BIOSCIENCES, v.334, pp.1 - 13-
dc.relation.isPartOfMATHEMATICAL BIOSCIENCES-
dc.citation.titleMATHEMATICAL BIOSCIENCES-
dc.citation.volume334-
dc.citation.startPage1-
dc.citation.endPage13-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaLife Sciences & Biomedicine - Other Topics-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryBiology-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.subject.keywordPlusINTRATUMORAL SPREAD-
dc.subject.keywordPlusDEFINING CONDITIONS-
dc.subject.keywordPlusCANCER VIROTHERAPY-
dc.subject.keywordPlusVIRUS THERAPY-
dc.subject.keywordPlusSOLID TUMORS-
dc.subject.keywordPlusADENOVIRUS-
dc.subject.keywordPlusEFFICACY-
dc.subject.keywordPlusREPLICATION-
dc.subject.keywordPlusMODEL-
dc.subject.keywordPlusCOMBINATION-
dc.subject.keywordAuthorOncolytic virotherapy-
dc.subject.keywordAuthorPDEs-
dc.subject.keywordAuthorODEs-
dc.subject.keywordAuthorBifurcation theory-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0025556420301620?via%3Dihub-
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