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Patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma
Pediatric high-grade glioma (pHGG) is a major contributor to cancer-related death in children. In vitro and in vivo disease models reflecting the intimate connection between developmental context and pathogenesis of pHGG are essential to advance understanding and identify therapeutic vulnerabilities...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253809/ https://www.ncbi.nlm.nih.gov/pubmed/34215733 http://dx.doi.org/10.1038/s41467-021-24168-8 |
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author | He, Chen Xu, Ke Zhu, Xiaoyan Dunphy, Paige S. Gudenas, Brian Lin, Wenwei Twarog, Nathaniel Hover, Laura D. Kwon, Chang-Hyuk Kasper, Lawryn H. Zhang, Junyuan Li, Xiaoyu Dalton, James Jonchere, Barbara Mercer, Kimberly S. Currier, Duane G. Caufield, William Wang, Yingzhe Xie, Jia Broniscer, Alberto Wetmore, Cynthia Upadhyaya, Santhosh A. Qaddoumi, Ibrahim Klimo, Paul Boop, Frederick Gajjar, Amar Zhang, Jinghui Orr, Brent A. Robinson, Giles W. Monje, Michelle Freeman III, Burgess B. Roussel, Martine F. Northcott, Paul A. Chen, Taosheng Rankovic, Zoran Wu, Gang Chiang, Jason Tinkle, Christopher L. Shelat, Anang A. Baker, Suzanne J. |
author_facet | He, Chen Xu, Ke Zhu, Xiaoyan Dunphy, Paige S. Gudenas, Brian Lin, Wenwei Twarog, Nathaniel Hover, Laura D. Kwon, Chang-Hyuk Kasper, Lawryn H. Zhang, Junyuan Li, Xiaoyu Dalton, James Jonchere, Barbara Mercer, Kimberly S. Currier, Duane G. Caufield, William Wang, Yingzhe Xie, Jia Broniscer, Alberto Wetmore, Cynthia Upadhyaya, Santhosh A. Qaddoumi, Ibrahim Klimo, Paul Boop, Frederick Gajjar, Amar Zhang, Jinghui Orr, Brent A. Robinson, Giles W. Monje, Michelle Freeman III, Burgess B. Roussel, Martine F. Northcott, Paul A. Chen, Taosheng Rankovic, Zoran Wu, Gang Chiang, Jason Tinkle, Christopher L. Shelat, Anang A. Baker, Suzanne J. |
author_sort | He, Chen |
collection | PubMed |
description | Pediatric high-grade glioma (pHGG) is a major contributor to cancer-related death in children. In vitro and in vivo disease models reflecting the intimate connection between developmental context and pathogenesis of pHGG are essential to advance understanding and identify therapeutic vulnerabilities. Here we report establishment of 21 patient-derived pHGG orthotopic xenograft (PDOX) models and eight matched cell lines from diverse groups of pHGG. These models recapitulate histopathology, DNA methylation signatures, mutations and gene expression patterns of the patient tumors from which they were derived, and include rare subgroups not well-represented by existing models. We deploy 16 new and existing cell lines for high-throughput screening (HTS). In vitro HTS results predict variable in vivo response to PI3K/mTOR and MEK pathway inhibitors. These unique new models and an online interactive data portal for exploration of associated detailed molecular characterization and HTS chemical sensitivity data provide a rich resource for pediatric brain tumor research. |
format | Online Article Text |
id | pubmed-8253809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82538092021-07-20 Patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma He, Chen Xu, Ke Zhu, Xiaoyan Dunphy, Paige S. Gudenas, Brian Lin, Wenwei Twarog, Nathaniel Hover, Laura D. Kwon, Chang-Hyuk Kasper, Lawryn H. Zhang, Junyuan Li, Xiaoyu Dalton, James Jonchere, Barbara Mercer, Kimberly S. Currier, Duane G. Caufield, William Wang, Yingzhe Xie, Jia Broniscer, Alberto Wetmore, Cynthia Upadhyaya, Santhosh A. Qaddoumi, Ibrahim Klimo, Paul Boop, Frederick Gajjar, Amar Zhang, Jinghui Orr, Brent A. Robinson, Giles W. Monje, Michelle Freeman III, Burgess B. Roussel, Martine F. Northcott, Paul A. Chen, Taosheng Rankovic, Zoran Wu, Gang Chiang, Jason Tinkle, Christopher L. Shelat, Anang A. Baker, Suzanne J. Nat Commun Article Pediatric high-grade glioma (pHGG) is a major contributor to cancer-related death in children. In vitro and in vivo disease models reflecting the intimate connection between developmental context and pathogenesis of pHGG are essential to advance understanding and identify therapeutic vulnerabilities. Here we report establishment of 21 patient-derived pHGG orthotopic xenograft (PDOX) models and eight matched cell lines from diverse groups of pHGG. These models recapitulate histopathology, DNA methylation signatures, mutations and gene expression patterns of the patient tumors from which they were derived, and include rare subgroups not well-represented by existing models. We deploy 16 new and existing cell lines for high-throughput screening (HTS). In vitro HTS results predict variable in vivo response to PI3K/mTOR and MEK pathway inhibitors. These unique new models and an online interactive data portal for exploration of associated detailed molecular characterization and HTS chemical sensitivity data provide a rich resource for pediatric brain tumor research. Nature Publishing Group UK 2021-07-02 /pmc/articles/PMC8253809/ /pubmed/34215733 http://dx.doi.org/10.1038/s41467-021-24168-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article He, Chen Xu, Ke Zhu, Xiaoyan Dunphy, Paige S. Gudenas, Brian Lin, Wenwei Twarog, Nathaniel Hover, Laura D. Kwon, Chang-Hyuk Kasper, Lawryn H. Zhang, Junyuan Li, Xiaoyu Dalton, James Jonchere, Barbara Mercer, Kimberly S. Currier, Duane G. Caufield, William Wang, Yingzhe Xie, Jia Broniscer, Alberto Wetmore, Cynthia Upadhyaya, Santhosh A. Qaddoumi, Ibrahim Klimo, Paul Boop, Frederick Gajjar, Amar Zhang, Jinghui Orr, Brent A. Robinson, Giles W. Monje, Michelle Freeman III, Burgess B. Roussel, Martine F. Northcott, Paul A. Chen, Taosheng Rankovic, Zoran Wu, Gang Chiang, Jason Tinkle, Christopher L. Shelat, Anang A. Baker, Suzanne J. Patient-derived models recapitulate heterogeneity of molecular signatures and drug response in pediatric high-grade glioma |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253809/ https://www.ncbi.nlm.nih.gov/pubmed/34215733 http://dx.doi.org/10.1038/s41467-021-24168-8 |
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