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Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts

Treatment paradigms for patients with upper tract urothelial carcinoma (UTUC) are typically extrapolated from studies of bladder cancer despite their distinct clinical and molecular characteristics. The advancement of UTUC research is hampered by the lack of disease-specific models. Here, we report...

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Autores principales: Kim, Kwanghee, Hu, Wenhuo, Audenet, François, Almassi, Nima, Hanrahan, Aphrothiti J., Murray, Katie, Bagrodia, Aditya, Wong, Nathan, Clinton, Timothy N., Dason, Shawn, Mohan, Vishnu, Jebiwott, Sylvia, Nagar, Karan, Gao, Jianjiong, Penson, Alex, Hughes, Chris, Gordon, Benjamin, Chen, Ziyu, Dong, Yiyu, Watson, Philip A., Alvim, Ricardo, Elzein, Arijh, Gao, Sizhi P., Cocco, Emiliano, Santin, Alessandro D., Ostrovnaya, Irina, Hsieh, James J., Sagi, Irit, Pietzak, Eugene J., Hakimi, A. Ari, Rosenberg, Jonathan E., Iyer, Gopa, Vargas, Herbert A., Scaltriti, Maurizio, Al-Ahmadie, Hikmat, Solit, David B., Coleman, Jonathan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181640/
https://www.ncbi.nlm.nih.gov/pubmed/32332851
http://dx.doi.org/10.1038/s41467-020-15885-7
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author Kim, Kwanghee
Hu, Wenhuo
Audenet, François
Almassi, Nima
Hanrahan, Aphrothiti J.
Murray, Katie
Bagrodia, Aditya
Wong, Nathan
Clinton, Timothy N.
Dason, Shawn
Mohan, Vishnu
Jebiwott, Sylvia
Nagar, Karan
Gao, Jianjiong
Penson, Alex
Hughes, Chris
Gordon, Benjamin
Chen, Ziyu
Dong, Yiyu
Watson, Philip A.
Alvim, Ricardo
Elzein, Arijh
Gao, Sizhi P.
Cocco, Emiliano
Santin, Alessandro D.
Ostrovnaya, Irina
Hsieh, James J.
Sagi, Irit
Pietzak, Eugene J.
Hakimi, A. Ari
Rosenberg, Jonathan E.
Iyer, Gopa
Vargas, Herbert A.
Scaltriti, Maurizio
Al-Ahmadie, Hikmat
Solit, David B.
Coleman, Jonathan A.
author_facet Kim, Kwanghee
Hu, Wenhuo
Audenet, François
Almassi, Nima
Hanrahan, Aphrothiti J.
Murray, Katie
Bagrodia, Aditya
Wong, Nathan
Clinton, Timothy N.
Dason, Shawn
Mohan, Vishnu
Jebiwott, Sylvia
Nagar, Karan
Gao, Jianjiong
Penson, Alex
Hughes, Chris
Gordon, Benjamin
Chen, Ziyu
Dong, Yiyu
Watson, Philip A.
Alvim, Ricardo
Elzein, Arijh
Gao, Sizhi P.
Cocco, Emiliano
Santin, Alessandro D.
Ostrovnaya, Irina
Hsieh, James J.
Sagi, Irit
Pietzak, Eugene J.
Hakimi, A. Ari
Rosenberg, Jonathan E.
Iyer, Gopa
Vargas, Herbert A.
Scaltriti, Maurizio
Al-Ahmadie, Hikmat
Solit, David B.
Coleman, Jonathan A.
author_sort Kim, Kwanghee
collection PubMed
description Treatment paradigms for patients with upper tract urothelial carcinoma (UTUC) are typically extrapolated from studies of bladder cancer despite their distinct clinical and molecular characteristics. The advancement of UTUC research is hampered by the lack of disease-specific models. Here, we report the establishment of patient derived xenograft (PDX) and cell line models that reflect the genomic and biological heterogeneity of the human disease. Models demonstrate high genomic concordance with the corresponding patient tumors, with invasive tumors more likely to successfully engraft. Treatment of PDX models with chemotherapy recapitulates responses observed in patients. Analysis of a HER2 S310F-mutant PDX suggests that an antibody drug conjugate targeting HER2 would have superior efficacy versus selective HER2 kinase inhibitors. In sum, the biological and phenotypic concordance between patient and PDXs suggest that these models could facilitate studies of intrinsic and acquired resistance and the development of personalized medicine strategies for UTUC patients.
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spelling pubmed-71816402020-04-29 Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts Kim, Kwanghee Hu, Wenhuo Audenet, François Almassi, Nima Hanrahan, Aphrothiti J. Murray, Katie Bagrodia, Aditya Wong, Nathan Clinton, Timothy N. Dason, Shawn Mohan, Vishnu Jebiwott, Sylvia Nagar, Karan Gao, Jianjiong Penson, Alex Hughes, Chris Gordon, Benjamin Chen, Ziyu Dong, Yiyu Watson, Philip A. Alvim, Ricardo Elzein, Arijh Gao, Sizhi P. Cocco, Emiliano Santin, Alessandro D. Ostrovnaya, Irina Hsieh, James J. Sagi, Irit Pietzak, Eugene J. Hakimi, A. Ari Rosenberg, Jonathan E. Iyer, Gopa Vargas, Herbert A. Scaltriti, Maurizio Al-Ahmadie, Hikmat Solit, David B. Coleman, Jonathan A. Nat Commun Article Treatment paradigms for patients with upper tract urothelial carcinoma (UTUC) are typically extrapolated from studies of bladder cancer despite their distinct clinical and molecular characteristics. The advancement of UTUC research is hampered by the lack of disease-specific models. Here, we report the establishment of patient derived xenograft (PDX) and cell line models that reflect the genomic and biological heterogeneity of the human disease. Models demonstrate high genomic concordance with the corresponding patient tumors, with invasive tumors more likely to successfully engraft. Treatment of PDX models with chemotherapy recapitulates responses observed in patients. Analysis of a HER2 S310F-mutant PDX suggests that an antibody drug conjugate targeting HER2 would have superior efficacy versus selective HER2 kinase inhibitors. In sum, the biological and phenotypic concordance between patient and PDXs suggest that these models could facilitate studies of intrinsic and acquired resistance and the development of personalized medicine strategies for UTUC patients. Nature Publishing Group UK 2020-04-24 /pmc/articles/PMC7181640/ /pubmed/32332851 http://dx.doi.org/10.1038/s41467-020-15885-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kim, Kwanghee
Hu, Wenhuo
Audenet, François
Almassi, Nima
Hanrahan, Aphrothiti J.
Murray, Katie
Bagrodia, Aditya
Wong, Nathan
Clinton, Timothy N.
Dason, Shawn
Mohan, Vishnu
Jebiwott, Sylvia
Nagar, Karan
Gao, Jianjiong
Penson, Alex
Hughes, Chris
Gordon, Benjamin
Chen, Ziyu
Dong, Yiyu
Watson, Philip A.
Alvim, Ricardo
Elzein, Arijh
Gao, Sizhi P.
Cocco, Emiliano
Santin, Alessandro D.
Ostrovnaya, Irina
Hsieh, James J.
Sagi, Irit
Pietzak, Eugene J.
Hakimi, A. Ari
Rosenberg, Jonathan E.
Iyer, Gopa
Vargas, Herbert A.
Scaltriti, Maurizio
Al-Ahmadie, Hikmat
Solit, David B.
Coleman, Jonathan A.
Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts
title Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts
title_full Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts
title_fullStr Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts
title_full_unstemmed Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts
title_short Modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts
title_sort modeling biological and genetic diversity in upper tract urothelial carcinoma with patient derived xenografts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181640/
https://www.ncbi.nlm.nih.gov/pubmed/32332851
http://dx.doi.org/10.1038/s41467-020-15885-7
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