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Genomic Profiling of Childhood Tumor Patient-Derived Xenograft Models to Enable Rational Clinical Trial Design
Author(s) -
Jo Lynne Rokita,
Komal S. Rathi,
Maria Cardenas,
Kristen Upton,
Joy C. Jayaseelan,
Katherine L. Cross,
Jacob Pfeil,
Laura E. Egolf,
Gregory P. Way,
Alvin Farrel,
Nathan M. Kendsersky,
Khushbu Patel,
Krutika S. Gaonkar,
Apexa Modi,
Esther R. Berko,
Gonzalo López,
Zalman Vaksman,
Chelsea Mayoh,
Jonas Nance,
Kristyn McCoy,
Michelle Haber,
Kathryn Evans,
Hannah McCalmont,
Katerina Bendak,
Julia Böhm,
Glenn M. Marshall,
Vanessa Tyrrell,
Karthik Kalletla,
Frank Braun,
Lin Qi,
Yunchen Du,
Huiyuan Zhang,
Holly Lindsay,
Sibo Zhao,
Jack Shu,
Patricia Baxter,
Christopher L. Morton,
Dias Kurmashev,
Siyuan Zheng,
Yidong Chen,
Jay Bowen,
Anthony C. Bryan,
Kristen Leraas,
Sara E. Coppens,
HarshaVardhan Doddapaneni,
Zeineen Momin,
Wendong Zhang,
Gregory I. Sacks,
Lori S. Hart,
Kateryna Krytska,
Yaël P. Mossé,
Gregory J. Gatto,
Yolanda Sánchez,
Casey S. Greene,
Sharon J. Diskin,
Olena M. Vaske,
David Haussler,
Julie M. GastierFoster,
E. Anders Kolb,
Richard Görlick,
Xiao-Nan Li,
C. Patrick Reynolds,
Raushan T. Kurmasheva,
Peter J. Houghton,
Malcolm A. Smith,
Richard B. Lock,
Pichai Raman,
David A. Wheeler,
John M. Maris
Publication year - 2019
Publication title -
cell reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.264
H-Index - 154
eISSN - 2639-1856
pISSN - 2211-1247
DOI - 10.1016/j.celrep.2019.09.071
Subject(s) - preclinical testing , clinical trial , medicine , disease , pediatric cancer , oncology , childhood cancer , drug development , bioinformatics , pediatric oncology , clinical study design , cancer , computational biology , cancer research , drug , biology , medical physics , pharmacology
Accelerating cures for children with cancer remains an immediate challenge as a result of extensive oncogenic heterogeneity between and within histologies, distinct molecular mechanisms evolving between diagnosis and relapsed disease, and limited therapeutic options. To systematically prioritize and rationally test novel agents in preclinical murine models, researchers within the Pediatric Preclinical Testing Consortium are continuously developing patient-derived xenografts (PDXs)-many of which are refractory to current standard-of-care treatments-from high-risk childhood cancers. Here, we genomically characterize 261 PDX models from 37 unique pediatric cancers; demonstrate faithful recapitulation of histologies and subtypes; and refine our understanding of relapsed disease. In addition, we use expression signatures to classify tumors for TP53 and NF1 pathway inactivation. We anticipate that these data will serve as a resource for pediatric oncology drug development and will guide rational clinical trial design for children with cancer.

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