Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidates for targeted treatment

Development of candidate cancer treatments is a resource-intensive process, with the research community continuing to investigate options beyond static genomic characterization. Toward this goal, we have established the genomic landscapes of 536 patient-derived xenograft (PDX) models across 25 cance...

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Detalles Bibliográficos
Autores principales: Sun, Hua, Cao, Song, Mashl, R. Jay, Mo, Chia-Kuei, Zaccaria, Simone, Wendl, Michael C., Davies, Sherri R., Bailey, Matthew H., Primeau, Tina M., Hoog, Jeremy, Mudd, Jacqueline L., Dean, Dennis A., Patidar, Rajesh, Chen, Li, Wyczalkowski, Matthew A., Jayasinghe, Reyka G., Rodrigues, Fernanda Martins, Terekhanova, Nadezhda V., Li, Yize, Lim, Kian-Huat, Wang-Gillam, Andrea, Van Tine, Brian A., Ma, Cynthia X., Aft, Rebecca, Fuh, Katherine C., Schwarz, Julie K., Zevallos, Jose P., Puram, Sidharth V., Dipersio, John F., Davis-Dusenbery, Brandi, Ellis, Matthew J., Lewis, Michael T., Davies, Michael A., Herlyn, Meenhard, Fang, Bingliang, Roth, Jack A., Welm, Alana L., Welm, Bryan E., Meric-Bernstam, Funda, Chen, Feng, Fields, Ryan C., Li, Shunqiang, Govindan, Ramaswamy, Doroshow, James H., Moscow, Jeffrey A., Evrard, Yvonne A., Chuang, Jeffrey H., Raphael, Benjamin J., Ding, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384880/
https://www.ncbi.nlm.nih.gov/pubmed/34429404
http://dx.doi.org/10.1038/s41467-021-25177-3

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