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Molecular profiling and computational network analysis of TAZ-mediated mammary tumorigenesis identifies actionable therapeutic targets

Triple-negative breast cancer (TNBC) accounts for approximately 15–20% of all breast cancer (BC) cases and contributes disproportionately to BC mortality. TAZ, a key transducer of the Hippo pathway, has recently been demonstrated to confer breast cancer stem cell (CSC) traits. However, TAZ target ge...

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Autores principales: Frangou, Costa, Li, Ying-Wei, Shen, He, Yang, Nuo, Wilson, Kayla E., Blijlevens, Maxime, Guo, Jin, Nowak, Norma J., Zhang, Jianmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323005/
https://www.ncbi.nlm.nih.gov/pubmed/25361000
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author Frangou, Costa
Li, Ying-Wei
Shen, He
Yang, Nuo
Wilson, Kayla E.
Blijlevens, Maxime
Guo, Jin
Nowak, Norma J.
Zhang, Jianmin
author_facet Frangou, Costa
Li, Ying-Wei
Shen, He
Yang, Nuo
Wilson, Kayla E.
Blijlevens, Maxime
Guo, Jin
Nowak, Norma J.
Zhang, Jianmin
author_sort Frangou, Costa
collection PubMed
description Triple-negative breast cancer (TNBC) accounts for approximately 15–20% of all breast cancer (BC) cases and contributes disproportionately to BC mortality. TAZ, a key transducer of the Hippo pathway, has recently been demonstrated to confer breast cancer stem cell (CSC) traits. However, TAZ target genes and the underlying transcriptional regulatory pathways responsible for the CSC phenomenon remain unknown. Here, we demonstrate that the oncogenic activity of TAZ is essential for propagation of the malignant phenotype. We further show that constitutively active TAZ tumor-derived cells exhibit unique tumor-initiating properties, including increased self-renewal and metastatic seeding potential, acquired chemotherapy resistance and the ability to efficiently regenerate tumor formation in vivo. Combined digital RNA expression analysis and computational network approaches identify several signaling pathways that distinguish breast cancer tumor-initiating cells (T-ICs) from bulk tumor cells. We demonstrate the utility of this approach by repositioning the small molecule tyrosine kinase inhibitor, Dasatinib, which selectively targets T-ICs and inhibits TNBC growth in vivo.
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spelling pubmed-43230052015-02-10 Molecular profiling and computational network analysis of TAZ-mediated mammary tumorigenesis identifies actionable therapeutic targets Frangou, Costa Li, Ying-Wei Shen, He Yang, Nuo Wilson, Kayla E. Blijlevens, Maxime Guo, Jin Nowak, Norma J. Zhang, Jianmin Oncotarget Research Paper Triple-negative breast cancer (TNBC) accounts for approximately 15–20% of all breast cancer (BC) cases and contributes disproportionately to BC mortality. TAZ, a key transducer of the Hippo pathway, has recently been demonstrated to confer breast cancer stem cell (CSC) traits. However, TAZ target genes and the underlying transcriptional regulatory pathways responsible for the CSC phenomenon remain unknown. Here, we demonstrate that the oncogenic activity of TAZ is essential for propagation of the malignant phenotype. We further show that constitutively active TAZ tumor-derived cells exhibit unique tumor-initiating properties, including increased self-renewal and metastatic seeding potential, acquired chemotherapy resistance and the ability to efficiently regenerate tumor formation in vivo. Combined digital RNA expression analysis and computational network approaches identify several signaling pathways that distinguish breast cancer tumor-initiating cells (T-ICs) from bulk tumor cells. We demonstrate the utility of this approach by repositioning the small molecule tyrosine kinase inhibitor, Dasatinib, which selectively targets T-ICs and inhibits TNBC growth in vivo. Impact Journals LLC 2014-10-24 /pmc/articles/PMC4323005/ /pubmed/25361000 Text en Copyright: © 2014 Frangou et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
spellingShingle Research Paper
Frangou, Costa
Li, Ying-Wei
Shen, He
Yang, Nuo
Wilson, Kayla E.
Blijlevens, Maxime
Guo, Jin
Nowak, Norma J.
Zhang, Jianmin
Molecular profiling and computational network analysis of TAZ-mediated mammary tumorigenesis identifies actionable therapeutic targets
title Molecular profiling and computational network analysis of TAZ-mediated mammary tumorigenesis identifies actionable therapeutic targets
title_full Molecular profiling and computational network analysis of TAZ-mediated mammary tumorigenesis identifies actionable therapeutic targets
title_fullStr Molecular profiling and computational network analysis of TAZ-mediated mammary tumorigenesis identifies actionable therapeutic targets
title_full_unstemmed Molecular profiling and computational network analysis of TAZ-mediated mammary tumorigenesis identifies actionable therapeutic targets
title_short Molecular profiling and computational network analysis of TAZ-mediated mammary tumorigenesis identifies actionable therapeutic targets
title_sort molecular profiling and computational network analysis of taz-mediated mammary tumorigenesis identifies actionable therapeutic targets
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323005/
https://www.ncbi.nlm.nih.gov/pubmed/25361000
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