Forty-five patient-derived xenografts capture the clinical and biological heterogeneity of Wilms tumor
The progress in pre-clinical drug discovery for Wilms tumor (WT) is limited by a lack of disease models. Here, the authors develop 45 heterotopic WT patient-derived xenografts including several anaplastic models that recapitulate the biological heterogeneity of WT, and propose this as a resource for...
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Nature Portfolio
2019
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oai:doaj.org-article:db96314ad7db4fb39fc7295bd2b1e60c2021-12-02T15:35:13ZForty-five patient-derived xenografts capture the clinical and biological heterogeneity of Wilms tumor10.1038/s41467-019-13646-92041-1723https://doaj.org/article/db96314ad7db4fb39fc7295bd2b1e60c2019-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13646-9https://doaj.org/toc/2041-1723The progress in pre-clinical drug discovery for Wilms tumor (WT) is limited by a lack of disease models. Here, the authors develop 45 heterotopic WT patient-derived xenografts including several anaplastic models that recapitulate the biological heterogeneity of WT, and propose this as a resource for evaluating future therapeutics for WT.Andrew J. MurphyXiang ChenEmilia M. PintoJustin S. WilliamsMichael R. ClayStanley B. PoundsXueyuan CaoLei ShiTong LinGeoffrey NealeChristopher L. MortonMary A. WoolardHeather L. MulderHyea Jin GilJerold E. RehgCatherine A. BillupsMatthew L. HarlowJeffrey S. DomePeter J. HoughtonJohn EastonJinghui ZhangRani E. GeorgeGerard P. ZambettiAndrew M. DavidoffNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-13 (2019) |
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Science Q Andrew J. Murphy Xiang Chen Emilia M. Pinto Justin S. Williams Michael R. Clay Stanley B. Pounds Xueyuan Cao Lei Shi Tong Lin Geoffrey Neale Christopher L. Morton Mary A. Woolard Heather L. Mulder Hyea Jin Gil Jerold E. Rehg Catherine A. Billups Matthew L. Harlow Jeffrey S. Dome Peter J. Houghton John Easton Jinghui Zhang Rani E. George Gerard P. Zambetti Andrew M. Davidoff Forty-five patient-derived xenografts capture the clinical and biological heterogeneity of Wilms tumor |
description |
The progress in pre-clinical drug discovery for Wilms tumor (WT) is limited by a lack of disease models. Here, the authors develop 45 heterotopic WT patient-derived xenografts including several anaplastic models that recapitulate the biological heterogeneity of WT, and propose this as a resource for evaluating future therapeutics for WT. |
format |
article |
author |
Andrew J. Murphy Xiang Chen Emilia M. Pinto Justin S. Williams Michael R. Clay Stanley B. Pounds Xueyuan Cao Lei Shi Tong Lin Geoffrey Neale Christopher L. Morton Mary A. Woolard Heather L. Mulder Hyea Jin Gil Jerold E. Rehg Catherine A. Billups Matthew L. Harlow Jeffrey S. Dome Peter J. Houghton John Easton Jinghui Zhang Rani E. George Gerard P. Zambetti Andrew M. Davidoff |
author_facet |
Andrew J. Murphy Xiang Chen Emilia M. Pinto Justin S. Williams Michael R. Clay Stanley B. Pounds Xueyuan Cao Lei Shi Tong Lin Geoffrey Neale Christopher L. Morton Mary A. Woolard Heather L. Mulder Hyea Jin Gil Jerold E. Rehg Catherine A. Billups Matthew L. Harlow Jeffrey S. Dome Peter J. Houghton John Easton Jinghui Zhang Rani E. George Gerard P. Zambetti Andrew M. Davidoff |
author_sort |
Andrew J. Murphy |
title |
Forty-five patient-derived xenografts capture the clinical and biological heterogeneity of Wilms tumor |
title_short |
Forty-five patient-derived xenografts capture the clinical and biological heterogeneity of Wilms tumor |
title_full |
Forty-five patient-derived xenografts capture the clinical and biological heterogeneity of Wilms tumor |
title_fullStr |
Forty-five patient-derived xenografts capture the clinical and biological heterogeneity of Wilms tumor |
title_full_unstemmed |
Forty-five patient-derived xenografts capture the clinical and biological heterogeneity of Wilms tumor |
title_sort |
forty-five patient-derived xenografts capture the clinical and biological heterogeneity of wilms tumor |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/db96314ad7db4fb39fc7295bd2b1e60c |
work_keys_str_mv |
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