Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment
Patient-derived xenograft models (PDX) have been extensively used to study the molecular and clinical features of cancers. Here the authors present a cohort of 536 PDX models from 25 cancers, as well as their genomic and evolutionary profiles and their suitability for clinical trials.
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Nature Portfolio
2021
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oai:doaj.org-article:e6286532f9bc487a87943a142621d7a32021-12-02T16:35:07ZComprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment10.1038/s41467-021-25177-32041-1723https://doaj.org/article/e6286532f9bc487a87943a142621d7a32021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25177-3https://doaj.org/toc/2041-1723Patient-derived xenograft models (PDX) have been extensively used to study the molecular and clinical features of cancers. Here the authors present a cohort of 536 PDX models from 25 cancers, as well as their genomic and evolutionary profiles and their suitability for clinical trials.Hua SunSong CaoR. Jay MashlChia-Kuei MoSimone ZaccariaMichael C. WendlSherri R. DaviesMatthew H. BaileyTina M. PrimeauJeremy HoogJacqueline L. MuddDennis A. DeanRajesh PatidarLi ChenMatthew A. WyczalkowskiReyka G. JayasingheFernanda Martins RodriguesNadezhda V. TerekhanovaYize LiKian-Huat LimAndrea Wang-GillamBrian A. Van TineCynthia X. MaRebecca AftKatherine C. FuhJulie K. SchwarzJose P. ZevallosSidharth V. PuramJohn F. DipersioThe NCI PDXNet ConsortiumBrandi Davis-DusenberyMatthew J. EllisMichael T. LewisMichael A. DaviesMeenhard HerlynBingliang FangJack A. RothAlana L. WelmBryan E. WelmFunda Meric-BernstamFeng ChenRyan C. FieldsShunqiang LiRamaswamy GovindanJames H. DoroshowJeffrey A. MoscowYvonne A. EvrardJeffrey H. ChuangBenjamin J. RaphaelLi DingNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-20 (2021) |
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DOAJ |
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DOAJ |
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EN |
| topic |
Science Q |
| spellingShingle |
Science Q Hua Sun Song Cao R. Jay Mashl Chia-Kuei Mo Simone Zaccaria Michael C. Wendl Sherri R. Davies Matthew H. Bailey Tina M. Primeau Jeremy Hoog Jacqueline L. Mudd Dennis A. Dean Rajesh Patidar Li Chen Matthew A. Wyczalkowski Reyka G. Jayasinghe Fernanda Martins Rodrigues Nadezhda V. Terekhanova Yize Li Kian-Huat Lim Andrea Wang-Gillam Brian A. Van Tine Cynthia X. Ma Rebecca Aft Katherine C. Fuh Julie K. Schwarz Jose P. Zevallos Sidharth V. Puram John F. Dipersio The NCI PDXNet Consortium Brandi Davis-Dusenbery Matthew J. Ellis Michael T. Lewis Michael A. Davies Meenhard Herlyn Bingliang Fang Jack A. Roth Alana L. Welm Bryan E. Welm Funda Meric-Bernstam Feng Chen Ryan C. Fields Shunqiang Li Ramaswamy Govindan James H. Doroshow Jeffrey A. Moscow Yvonne A. Evrard Jeffrey H. Chuang Benjamin J. Raphael Li Ding Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment |
| description |
Patient-derived xenograft models (PDX) have been extensively used to study the molecular and clinical features of cancers. Here the authors present a cohort of 536 PDX models from 25 cancers, as well as their genomic and evolutionary profiles and their suitability for clinical trials. |
| format |
article |
| author |
Hua Sun Song Cao R. Jay Mashl Chia-Kuei Mo Simone Zaccaria Michael C. Wendl Sherri R. Davies Matthew H. Bailey Tina M. Primeau Jeremy Hoog Jacqueline L. Mudd Dennis A. Dean Rajesh Patidar Li Chen Matthew A. Wyczalkowski Reyka G. Jayasinghe Fernanda Martins Rodrigues Nadezhda V. Terekhanova Yize Li Kian-Huat Lim Andrea Wang-Gillam Brian A. Van Tine Cynthia X. Ma Rebecca Aft Katherine C. Fuh Julie K. Schwarz Jose P. Zevallos Sidharth V. Puram John F. Dipersio The NCI PDXNet Consortium Brandi Davis-Dusenbery Matthew J. Ellis Michael T. Lewis Michael A. Davies Meenhard Herlyn Bingliang Fang Jack A. Roth Alana L. Welm Bryan E. Welm Funda Meric-Bernstam Feng Chen Ryan C. Fields Shunqiang Li Ramaswamy Govindan James H. Doroshow Jeffrey A. Moscow Yvonne A. Evrard Jeffrey H. Chuang Benjamin J. Raphael Li Ding |
| author_facet |
Hua Sun Song Cao R. Jay Mashl Chia-Kuei Mo Simone Zaccaria Michael C. Wendl Sherri R. Davies Matthew H. Bailey Tina M. Primeau Jeremy Hoog Jacqueline L. Mudd Dennis A. Dean Rajesh Patidar Li Chen Matthew A. Wyczalkowski Reyka G. Jayasinghe Fernanda Martins Rodrigues Nadezhda V. Terekhanova Yize Li Kian-Huat Lim Andrea Wang-Gillam Brian A. Van Tine Cynthia X. Ma Rebecca Aft Katherine C. Fuh Julie K. Schwarz Jose P. Zevallos Sidharth V. Puram John F. Dipersio The NCI PDXNet Consortium Brandi Davis-Dusenbery Matthew J. Ellis Michael T. Lewis Michael A. Davies Meenhard Herlyn Bingliang Fang Jack A. Roth Alana L. Welm Bryan E. Welm Funda Meric-Bernstam Feng Chen Ryan C. Fields Shunqiang Li Ramaswamy Govindan James H. Doroshow Jeffrey A. Moscow Yvonne A. Evrard Jeffrey H. Chuang Benjamin J. Raphael Li Ding |
| author_sort |
Hua Sun |
| title |
Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment |
| title_short |
Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment |
| title_full |
Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment |
| title_fullStr |
Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment |
| title_full_unstemmed |
Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment |
| title_sort |
comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/e6286532f9bc487a87943a142621d7a3 |
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