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Article: A Comprehensive Patient-Derived Xenograft Collection Representing the Heterogeneity of Melanoma

TitleA Comprehensive Patient-Derived Xenograft Collection Representing the Heterogeneity of Melanoma
Authors
KeywordsBRAF inhibitor resistance
ERK inhibitor
immune checkpoint blockade
in vivo models
MDM2 inhibitor
melanoma
melanoma brain metastasis
patient-derived xenografts
PI3K beta inhibitor
targeted therapy
Issue Date2017
Citation
Cell Reports, 2017, v. 21, n. 7, p. 1953-1967 How to Cite?
AbstractTherapy of advanced melanoma is changing dramatically. Following mutational and biological subclassification of this heterogeneous cancer, several targeted and immune therapies were approved and increased survival significantly. To facilitate further advancements through pre-clinical in vivo modeling, we have established 459 patient-derived xenografts (PDX) and live tissue samples from 384 patients representing the full spectrum of clinical, therapeutic, mutational, and biological heterogeneity of melanoma. PDX have been characterized using targeted sequencing and protein arrays and are clinically annotated. This exhaustive live tissue resource includes PDX from 57 samples resistant to targeted therapy, 61 samples from responders and non-responders to immune checkpoint blockade, and 31 samples from brain metastasis. Uveal, mucosal, and acral subtypes are represented as well. We show examples of pre-clinical trials that highlight how the PDX collection can be used to develop and optimize precision therapies, biomarkers of response, and the targeting of rare genetic subgroups. Krepler et al. have established a collection of melanoma patient-derived xenografts (PDX). Melanoma is a very heterogeneous cancer, and this large collection includes even rare subtypes and genetic aberrations in sufficient numbers. Multiple PDX from therapy-resistant patients are characterized and tested in pre-clinical trials for second line therapies.
Persistent Identifierhttp://hdl.handle.net/10722/318990
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKrepler, Clemens-
dc.contributor.authorSproesser, Katrin-
dc.contributor.authorBrafford, Patricia-
dc.contributor.authorBeqiri, Marilda-
dc.contributor.authorGarman, Bradley-
dc.contributor.authorXiao, Min-
dc.contributor.authorShannan, Batool-
dc.contributor.authorWatters, Andrea-
dc.contributor.authorPerego, Michela-
dc.contributor.authorZhang, Gao-
dc.contributor.authorVultur, Adina-
dc.contributor.authorYin, Xiangfan-
dc.contributor.authorLiu, Qin-
dc.contributor.authorAnastopoulos, Ioannis N.-
dc.contributor.authorWubbenhorst, Bradley-
dc.contributor.authorWilson, Melissa A.-
dc.contributor.authorXu, Wei-
dc.contributor.authorKarakousis, Giorgos-
dc.contributor.authorFeldman, Michael-
dc.contributor.authorXu, Xiaowei-
dc.contributor.authorAmaravadi, Ravi-
dc.contributor.authorGangadhar, Tara C.-
dc.contributor.authorElder, David E.-
dc.contributor.authorHaydu, Lauren E.-
dc.contributor.authorWargo, Jennifer A.-
dc.contributor.authorDavies, Michael A.-
dc.contributor.authorLu, Yiling-
dc.contributor.authorMills, Gordon B.-
dc.contributor.authorFrederick, Dennie T.-
dc.contributor.authorBarzily-Rokni, Michal-
dc.contributor.authorFlaherty, Keith T.-
dc.contributor.authorHoon, Dave S.-
dc.contributor.authorGuarino, Michael-
dc.contributor.authorBennett, Joseph J.-
dc.contributor.authorRyan, Randall W.-
dc.contributor.authorPetrelli, Nicholas J.-
dc.contributor.authorShields, Carol L.-
dc.contributor.authorTerai, Mizue-
dc.contributor.authorSato, Takami-
dc.contributor.authorAplin, Andrew E.-
dc.contributor.authorRoesch, Alexander-
dc.contributor.authorDarr, David-
dc.contributor.authorAngus, Steve-
dc.contributor.authorKumar, Rakesh-
dc.contributor.authorHalilovic, Ensar-
dc.contributor.authorCaponigro, Giordano-
dc.contributor.authorJeay, Sebastien-
dc.contributor.authorWuerthner, Jens-
dc.contributor.authorWalter, Annette-
dc.contributor.authorOcker, Matthias-
dc.contributor.authorBoxer, Matthew B.-
dc.contributor.authorSchuchter, Lynn-
dc.contributor.authorNathanson, Katherine L.-
dc.contributor.authorHerlyn, Meenhard-
dc.date.accessioned2022-10-11T12:25:01Z-
dc.date.available2022-10-11T12:25:01Z-
dc.date.issued2017-
dc.identifier.citationCell Reports, 2017, v. 21, n. 7, p. 1953-1967-
dc.identifier.urihttp://hdl.handle.net/10722/318990-
dc.description.abstractTherapy of advanced melanoma is changing dramatically. Following mutational and biological subclassification of this heterogeneous cancer, several targeted and immune therapies were approved and increased survival significantly. To facilitate further advancements through pre-clinical in vivo modeling, we have established 459 patient-derived xenografts (PDX) and live tissue samples from 384 patients representing the full spectrum of clinical, therapeutic, mutational, and biological heterogeneity of melanoma. PDX have been characterized using targeted sequencing and protein arrays and are clinically annotated. This exhaustive live tissue resource includes PDX from 57 samples resistant to targeted therapy, 61 samples from responders and non-responders to immune checkpoint blockade, and 31 samples from brain metastasis. Uveal, mucosal, and acral subtypes are represented as well. We show examples of pre-clinical trials that highlight how the PDX collection can be used to develop and optimize precision therapies, biomarkers of response, and the targeting of rare genetic subgroups. Krepler et al. have established a collection of melanoma patient-derived xenografts (PDX). Melanoma is a very heterogeneous cancer, and this large collection includes even rare subtypes and genetic aberrations in sufficient numbers. Multiple PDX from therapy-resistant patients are characterized and tested in pre-clinical trials for second line therapies.-
dc.languageeng-
dc.relation.ispartofCell Reports-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectBRAF inhibitor resistance-
dc.subjectERK inhibitor-
dc.subjectimmune checkpoint blockade-
dc.subjectin vivo models-
dc.subjectMDM2 inhibitor-
dc.subjectmelanoma-
dc.subjectmelanoma brain metastasis-
dc.subjectpatient-derived xenografts-
dc.subjectPI3K beta inhibitor-
dc.subjecttargeted therapy-
dc.titleA Comprehensive Patient-Derived Xenograft Collection Representing the Heterogeneity of Melanoma-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.celrep.2017.10.021-
dc.identifier.pmid29141225-
dc.identifier.pmcidPMC5726788-
dc.identifier.scopuseid_2-s2.0-85034107451-
dc.identifier.volume21-
dc.identifier.issue7-
dc.identifier.spage1953-
dc.identifier.epage1967-
dc.identifier.eissn2211-1247-
dc.identifier.isiWOS:000415073200020-

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