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Genomic Profiling of Childhood Tumor Patient-Derived Xenograft Models to Enable Rational Clinical Trial Design.

Authors :
Rokita JL
Rathi KS
Cardenas MF
Upton KA
Jayaseelan J
Cross KL
Pfeil J
Egolf LE
Way GP
Farrel A
Kendsersky NM
Patel K
Gaonkar KS
Modi A
Berko ER
Lopez G
Vaksman Z
Mayoh C
Nance J
McCoy K
Haber M
Evans K
McCalmont H
Bendak K
Böhm JW
Marshall GM
Tyrrell V
Kalletla K
Braun FK
Qi L
Du Y
Zhang H
Lindsay HB
Zhao S
Shu J
Baxter P
Morton C
Kurmashev D
Zheng S
Chen Y
Bowen J
Bryan AC
Leraas KM
Coppens SE
Doddapaneni H
Momin Z
Zhang W
Sacks GI
Hart LS
Krytska K
Mosse YP
Gatto GJ
Sanchez Y
Greene CS
Diskin SJ
Vaske OM
Haussler D
Gastier-Foster JM
Kolb EA
Gorlick R
Li XN
Reynolds CP
Kurmasheva RT
Houghton PJ
Smith MA
Lock RB
Raman P
Wheeler DA
Maris JM
Source :
Cell reports [Cell Rep] 2019 Nov 05; Vol. 29 (6), pp. 1675-1689.e9.
Publication Year :
2019

Abstract

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.<br /> (Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
2211-1247
Volume :
29
Issue :
6
Database :
MEDLINE
Journal :
Cell reports
Publication Type :
Academic Journal
Accession number :
31693904
Full Text :
https://doi.org/10.1016/j.celrep.2019.09.071