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

Authors :
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
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.879be8929790465bbe548678fef6db02
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-24168-8