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Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors
Metaplastic breast carcinoma (MBC) is a highly aggressive form of triple-negative cancer (TNBC), defined by the presence of metaplastic components of spindle, squamous, or sarcomatoid histology. The protein profiles underpinning the pathological subtypes and metastatic behavior of MBC are unknown. U...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138853/ https://www.ncbi.nlm.nih.gov/pubmed/32265444 http://dx.doi.org/10.1038/s41467-020-15283-z |
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author | Djomehri, Sabra I. Gonzalez, Maria E. da Veiga Leprevost, Felipe Tekula, Shilpa R. Chang, Hui-Yin White, Marissa J. Cimino-Mathews, Ashley Burman, Boris Basrur, Venkatesha Argani, Pedram Nesvizhskii, Alexey I. Kleer, Celina G. |
author_facet | Djomehri, Sabra I. Gonzalez, Maria E. da Veiga Leprevost, Felipe Tekula, Shilpa R. Chang, Hui-Yin White, Marissa J. Cimino-Mathews, Ashley Burman, Boris Basrur, Venkatesha Argani, Pedram Nesvizhskii, Alexey I. Kleer, Celina G. |
author_sort | Djomehri, Sabra I. |
collection | PubMed |
description | Metaplastic breast carcinoma (MBC) is a highly aggressive form of triple-negative cancer (TNBC), defined by the presence of metaplastic components of spindle, squamous, or sarcomatoid histology. The protein profiles underpinning the pathological subtypes and metastatic behavior of MBC are unknown. Using multiplex quantitative tandem mass tag-based proteomics we quantify 5798 proteins in MBC, TNBC, and normal breast from 27 patients. Comparing MBC and TNBC protein profiles we show MBC-specific increases related to epithelial-to-mesenchymal transition and extracellular matrix, and reduced metabolic pathways. MBC subtypes exhibit distinct upregulated profiles, including translation and ribosomal events in spindle, inflammation- and apical junction-related proteins in squamous, and extracellular matrix proteins in sarcomatoid subtypes. Comparison of the proteomes of human spindle MBC with mouse spindle (CCN6 knockout) MBC tumors reveals a shared spindle-specific signature of 17 upregulated proteins involved in translation and 19 downregulated proteins with roles in cell metabolism. These data identify potential subtype specific MBC biomarkers and therapeutic targets. |
format | Online Article Text |
id | pubmed-7138853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71388532020-04-13 Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors Djomehri, Sabra I. Gonzalez, Maria E. da Veiga Leprevost, Felipe Tekula, Shilpa R. Chang, Hui-Yin White, Marissa J. Cimino-Mathews, Ashley Burman, Boris Basrur, Venkatesha Argani, Pedram Nesvizhskii, Alexey I. Kleer, Celina G. Nat Commun Article Metaplastic breast carcinoma (MBC) is a highly aggressive form of triple-negative cancer (TNBC), defined by the presence of metaplastic components of spindle, squamous, or sarcomatoid histology. The protein profiles underpinning the pathological subtypes and metastatic behavior of MBC are unknown. Using multiplex quantitative tandem mass tag-based proteomics we quantify 5798 proteins in MBC, TNBC, and normal breast from 27 patients. Comparing MBC and TNBC protein profiles we show MBC-specific increases related to epithelial-to-mesenchymal transition and extracellular matrix, and reduced metabolic pathways. MBC subtypes exhibit distinct upregulated profiles, including translation and ribosomal events in spindle, inflammation- and apical junction-related proteins in squamous, and extracellular matrix proteins in sarcomatoid subtypes. Comparison of the proteomes of human spindle MBC with mouse spindle (CCN6 knockout) MBC tumors reveals a shared spindle-specific signature of 17 upregulated proteins involved in translation and 19 downregulated proteins with roles in cell metabolism. These data identify potential subtype specific MBC biomarkers and therapeutic targets. Nature Publishing Group UK 2020-04-07 /pmc/articles/PMC7138853/ /pubmed/32265444 http://dx.doi.org/10.1038/s41467-020-15283-z 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 Djomehri, Sabra I. Gonzalez, Maria E. da Veiga Leprevost, Felipe Tekula, Shilpa R. Chang, Hui-Yin White, Marissa J. Cimino-Mathews, Ashley Burman, Boris Basrur, Venkatesha Argani, Pedram Nesvizhskii, Alexey I. Kleer, Celina G. Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors |
title | Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors |
title_full | Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors |
title_fullStr | Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors |
title_full_unstemmed | Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors |
title_short | Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors |
title_sort | quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138853/ https://www.ncbi.nlm.nih.gov/pubmed/32265444 http://dx.doi.org/10.1038/s41467-020-15283-z |
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