Patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma

Patient-derived xenografts provide a resource for basic and translational cancer research. Here, the authors generate multiple pediatric high-grade glioma xenografts, use omics technologies to show that they are representative of primary tumours and use them to assess therapeutic response.

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Autores principales: Chen He, Ke Xu, Xiaoyan Zhu, Paige S. Dunphy, Brian Gudenas, Wenwei Lin, Nathaniel Twarog, Laura D. Hover, Chang-Hyuk Kwon, Lawryn H. Kasper, Junyuan Zhang, Xiaoyu Li, James Dalton, Barbara Jonchere, Kimberly S. Mercer, Duane G. Currier, William Caufield, Yingzhe Wang, Jia Xie, Alberto Broniscer, Cynthia Wetmore, Santhosh A. Upadhyaya, Ibrahim Qaddoumi, Paul Klimo, Frederick Boop, Amar Gajjar, Jinghui Zhang, Brent A. Orr, Giles W. Robinson, Michelle Monje, Burgess B. Freeman III, Martine F. Roussel, Paul A. Northcott, Taosheng Chen, Zoran Rankovic, Gang Wu, Jason Chiang, Christopher L. Tinkle, Anang A. Shelat, Suzanne J. Baker
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:879be8929790465bbe548678fef6db022021-12-02T14:34:06ZPatient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma10.1038/s41467-021-24168-82041-1723https://doaj.org/article/879be8929790465bbe548678fef6db022021-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-24168-8https://doaj.org/toc/2041-1723Patient-derived xenografts provide a resource for basic and translational cancer research. Here, the authors generate multiple pediatric high-grade glioma xenografts, use omics technologies to show that they are representative of primary tumours and use them to assess therapeutic response.Chen HeKe XuXiaoyan ZhuPaige S. DunphyBrian GudenasWenwei LinNathaniel TwarogLaura D. HoverChang-Hyuk KwonLawryn H. KasperJunyuan ZhangXiaoyu LiJames DaltonBarbara JonchereKimberly S. MercerDuane G. CurrierWilliam CaufieldYingzhe WangJia XieAlberto BroniscerCynthia WetmoreSanthosh A. UpadhyayaIbrahim QaddoumiPaul KlimoFrederick BoopAmar GajjarJinghui ZhangBrent A. OrrGiles W. RobinsonMichelle MonjeBurgess B. Freeman IIIMartine F. RousselPaul A. NorthcottTaosheng ChenZoran RankovicGang WuJason ChiangChristopher L. TinkleAnang A. ShelatSuzanne J. BakerNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Chen He
Ke Xu
Xiaoyan Zhu
Paige S. Dunphy
Brian Gudenas
Wenwei Lin
Nathaniel Twarog
Laura D. Hover
Chang-Hyuk Kwon
Lawryn H. Kasper
Junyuan Zhang
Xiaoyu Li
James Dalton
Barbara Jonchere
Kimberly S. Mercer
Duane G. Currier
William Caufield
Yingzhe Wang
Jia Xie
Alberto Broniscer
Cynthia Wetmore
Santhosh A. Upadhyaya
Ibrahim Qaddoumi
Paul Klimo
Frederick Boop
Amar Gajjar
Jinghui Zhang
Brent A. Orr
Giles W. Robinson
Michelle Monje
Burgess B. Freeman III
Martine F. Roussel
Paul A. Northcott
Taosheng Chen
Zoran Rankovic
Gang Wu
Jason Chiang
Christopher L. Tinkle
Anang A. Shelat
Suzanne J. Baker
Patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma
description Patient-derived xenografts provide a resource for basic and translational cancer research. Here, the authors generate multiple pediatric high-grade glioma xenografts, use omics technologies to show that they are representative of primary tumours and use them to assess therapeutic response.
format article
author Chen He
Ke Xu
Xiaoyan Zhu
Paige S. Dunphy
Brian Gudenas
Wenwei Lin
Nathaniel Twarog
Laura D. Hover
Chang-Hyuk Kwon
Lawryn H. Kasper
Junyuan Zhang
Xiaoyu Li
James Dalton
Barbara Jonchere
Kimberly S. Mercer
Duane G. Currier
William Caufield
Yingzhe Wang
Jia Xie
Alberto Broniscer
Cynthia Wetmore
Santhosh A. Upadhyaya
Ibrahim Qaddoumi
Paul Klimo
Frederick Boop
Amar Gajjar
Jinghui Zhang
Brent A. Orr
Giles W. Robinson
Michelle Monje
Burgess B. Freeman III
Martine F. Roussel
Paul A. Northcott
Taosheng Chen
Zoran Rankovic
Gang Wu
Jason Chiang
Christopher L. Tinkle
Anang A. Shelat
Suzanne J. Baker
author_facet Chen He
Ke Xu
Xiaoyan Zhu
Paige S. Dunphy
Brian Gudenas
Wenwei Lin
Nathaniel Twarog
Laura D. Hover
Chang-Hyuk Kwon
Lawryn H. Kasper
Junyuan Zhang
Xiaoyu Li
James Dalton
Barbara Jonchere
Kimberly S. Mercer
Duane G. Currier
William Caufield
Yingzhe Wang
Jia Xie
Alberto Broniscer
Cynthia Wetmore
Santhosh A. Upadhyaya
Ibrahim Qaddoumi
Paul Klimo
Frederick Boop
Amar Gajjar
Jinghui Zhang
Brent A. Orr
Giles W. Robinson
Michelle Monje
Burgess B. Freeman III
Martine F. Roussel
Paul A. Northcott
Taosheng Chen
Zoran Rankovic
Gang Wu
Jason Chiang
Christopher L. Tinkle
Anang A. Shelat
Suzanne J. Baker
author_sort Chen He
title Patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma
title_short Patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma
title_full Patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma
title_fullStr Patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma
title_full_unstemmed Patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma
title_sort patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/879be8929790465bbe548678fef6db02
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