Interrogating open issues in cancer precision medicine with patient-derived xenografts

dc.contributor.authorByrne, Annette T.
dc.contributor.authorAlférez, Denis G.
dc.contributor.authorAmant, Frédéric
dc.contributor.authorAnnibali, Daniela
dc.contributor.authorArribas, Joaquín V. (Vicente)
dc.contributor.authorBiankin, Andrew V.
dc.contributor.authorBruna, Alejandra
dc.contributor.authorBudinská, Eva
dc.contributor.authorCaldas, Carlos
dc.contributor.authorChang, David K.
dc.contributor.authorClarke, Robert B.
dc.contributor.authorClevers, Hans
dc.contributor.authorCoukos, George
dc.contributor.authorDangles Marie, Virginie
dc.contributor.authorEckhardt, S. Gail
dc.contributor.authorGonzález Suárez, Eva
dc.contributor.authorHermans, Els
dc.contributor.authorHidalgo, Manuel
dc.contributor.authorJarzabek, Monika A.
dc.contributor.authorJong, Steven de
dc.contributor.authorJonkers, Jos
dc.contributor.authorKemper, Kristel
dc.contributor.authorLanfrancone, Luisa
dc.contributor.authorMælandsmo, Gunhild Mari
dc.contributor.authorMarangoni, Elisabetta
dc.contributor.authorMarine, Jean-Christophe
dc.contributor.authorMedico, Enzo
dc.contributor.authorNorum, Jens Henrik
dc.contributor.authorPalmer, Héctor G.
dc.contributor.authorPeeper, Daniel S.
dc.contributor.authorPelicci, Pier Giuseppe
dc.contributor.authorPiris Gimenez, Alejandro
dc.contributor.authorRoman Roman, Sergio
dc.contributor.authorRueda, Oscar M.
dc.contributor.authorSeoane Suárez, Joan
dc.contributor.authorSerra Elizalde, Violeta
dc.contributor.authorSoucek, Laura
dc.contributor.authorVanhecke, Dominique
dc.contributor.authorVillanueva Garatachea, Alberto
dc.contributor.authorVinolo, Emilie
dc.contributor.authorBertotti, Andrea
dc.contributor.authorTrusolino, Livio
dc.date.accessioned2018-07-11T14:09:19Z
dc.date.available2018-07-11T14:09:19Z
dc.date.issued2017-01-20
dc.description.abstractPatient-derived xenografts (PDXs) have emerged as an important platform to elucidate new treatments and biomarkers in oncology. PDX models are used to address clinically relevant questions, including the contribution of tumour heterogeneity to therapeutic responsiveness, the patterns of cancer evolutionary dynamics during tumour progression and under drug pressure, and the mechanisms of resistance to treatment. The ability of PDX models to predict clinical outcomes is being improved through mouse humanization strategies and the implementation of co-clinical trials, within which patients and PDXs reciprocally inform therapeutic decisions. This Opinion article discusses aspects of PDX modelling that are relevant to these questions and highlights the merits of shared PDX resources to advance cancer medicine from the perspective of EurOPDX, an international initiative devoted to PDX-based research.
dc.format.extent83 p.
dc.format.mimetypeapplication/pdf
dc.identifier.pmid28104906
dc.identifier.urihttps://hdl.handle.net/2445/123494
dc.language.isoengca
dc.publisherSpringer Natureca
dc.relation.isformatofVersió postprint del document publicat a: http://dx.doi.org/10.1038/nrc.2016.140
dc.relation.ispartofNature Reviews Cancer, 2017, vol. 17, p. 254–268
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/682935/EU//PLEIO-RANK
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/260791/EU//EUROCANPLATFORM
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/670582/EU//AVATAR
dc.relation.urihttp://dx.doi.org/10.1038/nrc.2016.140
dc.rights(c) Macmillan Publishers, 2017
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.sourceArticles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
dc.subject.classificationCàncer
dc.subject.classificationMarcadors tumorals
dc.subject.otherCancer
dc.subject.otherTumor markers
dc.titleInterrogating open issues in cancer precision medicine with patient-derived xenograftsca
dc.typeinfo:eu-repo/semantics/articleca
dc.typeinfo:eu-repo/semantics/acceptedVersion

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