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Pharmacologic profiling of patient-derived xenograft models of primary treatment-naïve triple-negative breast cancer

Triple-negative breast cancer (TNBC) accounts for 15–20% of breast cancer cases in the United States, lacks targeted therapeutic options, and is associated with a 40–80% risk of recurrence. Thus, identifying actionable targets in treatment-naïve and chemoresistant TNBC is a critical unmet medical ne...

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Autores principales: Powell, Reid T., Redwood, Abena, Liu, Xuan, Guo, Lei, Cai, Shirong, Zhou, Xinhui, Tu, Yizheng, Zhang, Xiaomei, Qi, Yuan, Jiang, Yan, Echeverria, Gloria, Feng, Ningping, Ma, XiaoYan, Giuliani, Virginia, Marszalek, Joseph R., Heffernan, Timothy P., Vellano, Christopher P., White, Jason B., Stephan, Clifford, Davies, Peter J., Moulder, Stacy, Symmans, W. Fraser, Chang, Jeffrey T., Piwnica-Worms, Helen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578025/
https://www.ncbi.nlm.nih.gov/pubmed/33087803
http://dx.doi.org/10.1038/s41598-020-74882-4
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author Powell, Reid T.
Redwood, Abena
Liu, Xuan
Guo, Lei
Cai, Shirong
Zhou, Xinhui
Tu, Yizheng
Zhang, Xiaomei
Qi, Yuan
Jiang, Yan
Echeverria, Gloria
Feng, Ningping
Ma, XiaoYan
Giuliani, Virginia
Marszalek, Joseph R.
Heffernan, Timothy P.
Vellano, Christopher P.
White, Jason B.
Stephan, Clifford
Davies, Peter J.
Moulder, Stacy
Symmans, W. Fraser
Chang, Jeffrey T.
Piwnica-Worms, Helen
author_facet Powell, Reid T.
Redwood, Abena
Liu, Xuan
Guo, Lei
Cai, Shirong
Zhou, Xinhui
Tu, Yizheng
Zhang, Xiaomei
Qi, Yuan
Jiang, Yan
Echeverria, Gloria
Feng, Ningping
Ma, XiaoYan
Giuliani, Virginia
Marszalek, Joseph R.
Heffernan, Timothy P.
Vellano, Christopher P.
White, Jason B.
Stephan, Clifford
Davies, Peter J.
Moulder, Stacy
Symmans, W. Fraser
Chang, Jeffrey T.
Piwnica-Worms, Helen
author_sort Powell, Reid T.
collection PubMed
description Triple-negative breast cancer (TNBC) accounts for 15–20% of breast cancer cases in the United States, lacks targeted therapeutic options, and is associated with a 40–80% risk of recurrence. Thus, identifying actionable targets in treatment-naïve and chemoresistant TNBC is a critical unmet medical need. To address this need, we performed high-throughput drug viability screens on human tumor cells isolated from 16 patient-derived xenograft models of treatment-naïve primary TNBC. The models span a range of TNBC subtypes and exhibit a diverse set of putative driver mutations, thus providing a unique patient-derived, molecularly annotated pharmacologic resource that is reflective of TNBC. We identified therapeutically actionable targets including kinesin spindle protein (KSP). The KSP inhibitor targets the mitotic spindle through mechanisms independent of microtubule stability and showed efficacy in models that were resistant to microtubule inhibitors used as part of the current standard of care for TNBC. We also observed subtype selectivity of Prima-1(Met), which showed higher levels of efficacy in the mesenchymal subtype. Coupling pharmacologic data with genomic and transcriptomic information, we showed that Prima-1(Met) activity was independent of its canonical target, mutant p53, and was better associated with glutathione metabolism, providing an alternate molecularly defined biomarker for this drug.
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spelling pubmed-75780252020-10-23 Pharmacologic profiling of patient-derived xenograft models of primary treatment-naïve triple-negative breast cancer Powell, Reid T. Redwood, Abena Liu, Xuan Guo, Lei Cai, Shirong Zhou, Xinhui Tu, Yizheng Zhang, Xiaomei Qi, Yuan Jiang, Yan Echeverria, Gloria Feng, Ningping Ma, XiaoYan Giuliani, Virginia Marszalek, Joseph R. Heffernan, Timothy P. Vellano, Christopher P. White, Jason B. Stephan, Clifford Davies, Peter J. Moulder, Stacy Symmans, W. Fraser Chang, Jeffrey T. Piwnica-Worms, Helen Sci Rep Article Triple-negative breast cancer (TNBC) accounts for 15–20% of breast cancer cases in the United States, lacks targeted therapeutic options, and is associated with a 40–80% risk of recurrence. Thus, identifying actionable targets in treatment-naïve and chemoresistant TNBC is a critical unmet medical need. To address this need, we performed high-throughput drug viability screens on human tumor cells isolated from 16 patient-derived xenograft models of treatment-naïve primary TNBC. The models span a range of TNBC subtypes and exhibit a diverse set of putative driver mutations, thus providing a unique patient-derived, molecularly annotated pharmacologic resource that is reflective of TNBC. We identified therapeutically actionable targets including kinesin spindle protein (KSP). The KSP inhibitor targets the mitotic spindle through mechanisms independent of microtubule stability and showed efficacy in models that were resistant to microtubule inhibitors used as part of the current standard of care for TNBC. We also observed subtype selectivity of Prima-1(Met), which showed higher levels of efficacy in the mesenchymal subtype. Coupling pharmacologic data with genomic and transcriptomic information, we showed that Prima-1(Met) activity was independent of its canonical target, mutant p53, and was better associated with glutathione metabolism, providing an alternate molecularly defined biomarker for this drug. Nature Publishing Group UK 2020-10-21 /pmc/articles/PMC7578025/ /pubmed/33087803 http://dx.doi.org/10.1038/s41598-020-74882-4 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Powell, Reid T.
Redwood, Abena
Liu, Xuan
Guo, Lei
Cai, Shirong
Zhou, Xinhui
Tu, Yizheng
Zhang, Xiaomei
Qi, Yuan
Jiang, Yan
Echeverria, Gloria
Feng, Ningping
Ma, XiaoYan
Giuliani, Virginia
Marszalek, Joseph R.
Heffernan, Timothy P.
Vellano, Christopher P.
White, Jason B.
Stephan, Clifford
Davies, Peter J.
Moulder, Stacy
Symmans, W. Fraser
Chang, Jeffrey T.
Piwnica-Worms, Helen
Pharmacologic profiling of patient-derived xenograft models of primary treatment-naïve triple-negative breast cancer
title Pharmacologic profiling of patient-derived xenograft models of primary treatment-naïve triple-negative breast cancer
title_full Pharmacologic profiling of patient-derived xenograft models of primary treatment-naïve triple-negative breast cancer
title_fullStr Pharmacologic profiling of patient-derived xenograft models of primary treatment-naïve triple-negative breast cancer
title_full_unstemmed Pharmacologic profiling of patient-derived xenograft models of primary treatment-naïve triple-negative breast cancer
title_short Pharmacologic profiling of patient-derived xenograft models of primary treatment-naïve triple-negative breast cancer
title_sort pharmacologic profiling of patient-derived xenograft models of primary treatment-naïve triple-negative breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578025/
https://www.ncbi.nlm.nih.gov/pubmed/33087803
http://dx.doi.org/10.1038/s41598-020-74882-4
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