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dc.contributor.authorTucker, ER
dc.contributor.authorGeorge, S
dc.contributor.authorAngelini, P
dc.contributor.authorBruna, A
dc.contributor.authorChesler, L
dc.date.accessioned2021-06-11T12:31:48Z
dc.date.available2021-06-11T12:31:48Z
dc.date.issued2021-03-30
dc.identifier.citationJournal of personalized medicine, 2021, 11 (4)
dc.identifier.issn2075-4426
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/4625
dc.identifier.eissn2075-4426
dc.identifier.doi10.3390/jpm11040248
dc.description.abstractPatient-derived preclinical models are now a core component of cancer research and have the ability to drastically improve the predictive power of preclinical therapeutic studies. However, their development and maintenance can be challenging, time consuming, and expensive. For neuroblastoma, a developmental malignancy of the neural crest, it is possible to establish patient-derived models as xenografts in mice and zebrafish, and as spheroids and organoids in vitro. These varied approaches have contributed to comprehensive packages of preclinical evidence in support of new therapeutics for neuroblastoma. We discuss here the ethical and technical considerations for the creation of patient-derived models of neuroblastoma and how their use can be optimized for the study of tumour evolution and preclinical therapies. We also discuss how neuroblastoma patient-derived models might become avatars for personalised medicine for children with this devastating disease.
dc.formatElectronic
dc.languageeng
dc.language.isoeng
dc.publisherMDPI
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleThe Promise of Patient-Derived Preclinical Models to Accelerate the Implementation of Personalised Medicine for Children with Neuroblastoma.
dc.typeJournal Article
dcterms.dateAccepted2021-03-26
rioxxterms.versionVoR
rioxxterms.versionofrecord10.3390/jpm11040248
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2021-03-30
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfJournal of personalized medicine
pubs.issue4
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Preclinical Modelling of Paediatric Cancer Evolution
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Preclinical Modelling of Paediatric Cancer Evolution
pubs.publication-statusPublished
pubs.volume11
pubs.embargo.termsNot known
icr.researchteamPreclinical Modelling of Paediatric Cancer Evolution
icr.researchteamPreclinical Modelling of Paediatric Cancer Evolution
dc.contributor.icrauthorGeorge, Sally
dc.contributor.icrauthorAngelini, Paola
dc.contributor.icrauthorBruna Cabot, Alejandra
dc.contributor.icrauthorChesler, Louis


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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0