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Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors
Subsets of breast tumors present major clinical challenges, including triple-negative, metastatic/recurrent disease and rare histologies. Here, we developed 37 patient-derived xenografts (PDX) from these difficult-to-treat cancers to interrogate their molecular composition and functional biology. Wh...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298048/ https://www.ncbi.nlm.nih.gov/pubmed/32546838 http://dx.doi.org/10.1038/s42003-020-1042-x |
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author | Savage, Paul Pacis, Alain Kuasne, Hellen Liu, Leah Lai, Daniel Wan, Adrian Dankner, Matthew Martinez, Constanza Muñoz-Ramos, Valentina Pilon, Virginie Monast, Anie Zhao, Hong Souleimanova, Margarita Annis, Matthew G. Aguilar-Mahecha, Adriana Lafleur, Josiane Bertos, Nicholas R. Asselah, Jamil Bouganim, Nathaniel Petrecca, Kevin Siegel, Peter M. Omeroglu, Atilla Shah, Sohrab P. Aparicio, Samuel Basik, Mark Meterissian, Sarkis Park, Morag |
author_facet | Savage, Paul Pacis, Alain Kuasne, Hellen Liu, Leah Lai, Daniel Wan, Adrian Dankner, Matthew Martinez, Constanza Muñoz-Ramos, Valentina Pilon, Virginie Monast, Anie Zhao, Hong Souleimanova, Margarita Annis, Matthew G. Aguilar-Mahecha, Adriana Lafleur, Josiane Bertos, Nicholas R. Asselah, Jamil Bouganim, Nathaniel Petrecca, Kevin Siegel, Peter M. Omeroglu, Atilla Shah, Sohrab P. Aparicio, Samuel Basik, Mark Meterissian, Sarkis Park, Morag |
author_sort | Savage, Paul |
collection | PubMed |
description | Subsets of breast tumors present major clinical challenges, including triple-negative, metastatic/recurrent disease and rare histologies. Here, we developed 37 patient-derived xenografts (PDX) from these difficult-to-treat cancers to interrogate their molecular composition and functional biology. Whole-genome and transcriptome sequencing and reverse-phase protein arrays revealed that PDXs conserve the molecular landscape of their corresponding patient tumors. Metastatic potential varied between PDXs, where low-penetrance lung micrometastases were most common, though a subset of models displayed high rates of dissemination in organotropic or diffuse patterns consistent with what was observed clinically. Chemosensitivity profiling was performed in vivo with standard-of-care agents, where multi-drug chemoresistance was retained upon xenotransplantation. Consolidating chemogenomic data identified actionable features in the majority of PDXs, and marked regressions were observed in a subset that was evaluated in vivo. Together, this clinically-annotated PDX library with comprehensive molecular and phenotypic profiling serves as a resource for preclinical studies on difficult-to-treat breast tumors. |
format | Online Article Text |
id | pubmed-7298048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72980482020-06-22 Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors Savage, Paul Pacis, Alain Kuasne, Hellen Liu, Leah Lai, Daniel Wan, Adrian Dankner, Matthew Martinez, Constanza Muñoz-Ramos, Valentina Pilon, Virginie Monast, Anie Zhao, Hong Souleimanova, Margarita Annis, Matthew G. Aguilar-Mahecha, Adriana Lafleur, Josiane Bertos, Nicholas R. Asselah, Jamil Bouganim, Nathaniel Petrecca, Kevin Siegel, Peter M. Omeroglu, Atilla Shah, Sohrab P. Aparicio, Samuel Basik, Mark Meterissian, Sarkis Park, Morag Commun Biol Article Subsets of breast tumors present major clinical challenges, including triple-negative, metastatic/recurrent disease and rare histologies. Here, we developed 37 patient-derived xenografts (PDX) from these difficult-to-treat cancers to interrogate their molecular composition and functional biology. Whole-genome and transcriptome sequencing and reverse-phase protein arrays revealed that PDXs conserve the molecular landscape of their corresponding patient tumors. Metastatic potential varied between PDXs, where low-penetrance lung micrometastases were most common, though a subset of models displayed high rates of dissemination in organotropic or diffuse patterns consistent with what was observed clinically. Chemosensitivity profiling was performed in vivo with standard-of-care agents, where multi-drug chemoresistance was retained upon xenotransplantation. Consolidating chemogenomic data identified actionable features in the majority of PDXs, and marked regressions were observed in a subset that was evaluated in vivo. Together, this clinically-annotated PDX library with comprehensive molecular and phenotypic profiling serves as a resource for preclinical studies on difficult-to-treat breast tumors. Nature Publishing Group UK 2020-06-16 /pmc/articles/PMC7298048/ /pubmed/32546838 http://dx.doi.org/10.1038/s42003-020-1042-x 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 Savage, Paul Pacis, Alain Kuasne, Hellen Liu, Leah Lai, Daniel Wan, Adrian Dankner, Matthew Martinez, Constanza Muñoz-Ramos, Valentina Pilon, Virginie Monast, Anie Zhao, Hong Souleimanova, Margarita Annis, Matthew G. Aguilar-Mahecha, Adriana Lafleur, Josiane Bertos, Nicholas R. Asselah, Jamil Bouganim, Nathaniel Petrecca, Kevin Siegel, Peter M. Omeroglu, Atilla Shah, Sohrab P. Aparicio, Samuel Basik, Mark Meterissian, Sarkis Park, Morag Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors |
title | Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors |
title_full | Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors |
title_fullStr | Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors |
title_full_unstemmed | Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors |
title_short | Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors |
title_sort | chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298048/ https://www.ncbi.nlm.nih.gov/pubmed/32546838 http://dx.doi.org/10.1038/s42003-020-1042-x |
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