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

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作者
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
机构
[1] Department of Developmental Neurobiology,Division of Hematology
[2] Center for Applied Bioinformatics,Oncology
[3] Department of Computational Biology,Department of Surgery
[4] Department of Oncology,Department of Neurology
[5] Department of Chemical Biology and Therapeutics,Department of Radiation Oncology
[6] Department of Pathology,undefined
[7] Department of Tumor Cell Biology,undefined
[8] Preclinical Pharmacokinetics Shared Resource St. Jude Children’s Research Hospital,undefined
[9] Children’s Hospital of Pittsburgh,undefined
[10] Exelixis,undefined
[11] Inc.,undefined
[12] St. Jude Children’s Research Hospital,undefined
[13] Stanford University,undefined
[14] St. Jude Children’s Research Hospital,undefined
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摘要
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.
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