51. Genomic profiling of childhood tumor patient-derived xenograft models to enable rational clinical trial design
- Author
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Pichai Raman, Richard B. Lock, Jacob Pfeil, Anthony C. Bryan, Gonzalo Lopez, Julia W. Böhm, Huiyuan Zhang, Siyuan Zheng, Gregory Gatto, Karthik Kalletla, Laura E. Ritenour, Sibo Zhao, Peter J. Houghton, Glenn M. Marshall, Frank K. Braun, Casey S. Greene, Sharon J. Diskin, Malcolm A. Smith, C. Patrick Reynolds, Khushbu Patel, Alvin Farrel, Gregory I. Sacks, Raushan T. Kurmasheva, Kristen M. Leraas, Zalman Vaksman, Katherine L. Cross, Yunchen Du, Zeineen Momin, Jonas Nance, Yolanda Sanchez, Holly Lindsay, Michelle Haber, Patricia Baxter, Yi Chen, Xiao-Nan Li, Apexa Modi, Katerina Bendak, Komal S. Rathi, Chelsea Mayoh, Kathryn L. Evans, Jack Shu, Lin Qi, Harshavardhan Doddapaneni, John M. Maris, Julie M. Gastier-Foster, Lori S. Hart, Kristen A. Upton, Maria F. Cardenas, Richard Gorlick, Gregory P. Way, Joy Jayaseelan, E. Anders Kolb, Jay Bowen, Olena Morozova Vaske, David A. Wheeler, Jo Lynne Rokita, Kateryna Krytska, Wendong Zhang, David Haussler, Vanessa Tyrrell, Dias Kurmashev, Yael P. Mosse, Christopher L. Morton, Sara E. Coppens, Nathan M. Kendsersky, Hannah McCalmont, and Kristyn McCoy
- Subjects
Drug development ,business.industry ,DNA repair ,Novel agents ,Clinical study design ,Childhood cancer ,Cancer research ,Medicine ,Cancer ,business ,medicine.disease ,Pediatric cancer ,Tumor xenograft - Abstract
SummaryAccelerating cures for children with cancer remains an immediate challenge due to 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) from high-risk childhood cancers, many refractory to current standard-of-care treatments. Here, we genomically characterize 261 PDX models from 29 unique pediatric cancer malignancies and demonstrate faithful recapitulation of histologies, subtypes, and refine our understanding of relapsed disease. Expression and mutational signatures are used to classify tumors forTP53andNF1inactivation, as well as impaired DNA repair. We anticipate that these data will serve as a resource for pediatric oncology drug development and guide rational clinical trial design for children with cancer.HighlightsMultiplatform genomic analysis defines landscape of 261 pediatric cancer patient derived xenograft (PDX) modelsPediatric patient derived xenografts faithfully recapitulate relapsed diseaseInferredTP53pathway inactivation correlates with pediatric cancer copy number burdenSomatic mutational signatures predict impaired DNA repair across multiple histologies
- Published
- 2019