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Proteomic profiling of extracellular vesicles allows for human breast cancer subtyping
Extracellular vesicles (EVs) are a potential source of disease-associated biomarkers for diagnosis. In breast cancer, comprehensive analyses of EVs could yield robust and reliable subtype-specific biomarkers that are still critically needed to improve diagnostic routines and clinical outcome. Here,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722120/ https://www.ncbi.nlm.nih.gov/pubmed/31508500 http://dx.doi.org/10.1038/s42003-019-0570-8 |
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author | Rontogianni, Stamatia Synadaki, Eleni Li, Bohui Liefaard, Marte C. Lips, Esther H. Wesseling, Jelle Wu, Wei Altelaar, Maarten |
author_facet | Rontogianni, Stamatia Synadaki, Eleni Li, Bohui Liefaard, Marte C. Lips, Esther H. Wesseling, Jelle Wu, Wei Altelaar, Maarten |
author_sort | Rontogianni, Stamatia |
collection | PubMed |
description | Extracellular vesicles (EVs) are a potential source of disease-associated biomarkers for diagnosis. In breast cancer, comprehensive analyses of EVs could yield robust and reliable subtype-specific biomarkers that are still critically needed to improve diagnostic routines and clinical outcome. Here, we show that proteome profiles of EVs secreted by different breast cancer cell lines are highly indicative of their respective molecular subtypes, even more so than the proteome changes within the cancer cells. Moreover, we detected molecular evidence for subtype-specific biological processes and molecular pathways, hyperphosphorylated receptors and kinases in connection with the disease, and compiled a set of protein signatures that closely reflect the associated clinical pathophysiology. These unique features revealed in our work, replicated in clinical material, collectively demonstrate the potential of secreted EVs to differentiate between breast cancer subtypes and show the prospect of their use as non-invasive liquid biopsies for diagnosis and management of breast cancer patients. |
format | Online Article Text |
id | pubmed-6722120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67221202019-09-10 Proteomic profiling of extracellular vesicles allows for human breast cancer subtyping Rontogianni, Stamatia Synadaki, Eleni Li, Bohui Liefaard, Marte C. Lips, Esther H. Wesseling, Jelle Wu, Wei Altelaar, Maarten Commun Biol Article Extracellular vesicles (EVs) are a potential source of disease-associated biomarkers for diagnosis. In breast cancer, comprehensive analyses of EVs could yield robust and reliable subtype-specific biomarkers that are still critically needed to improve diagnostic routines and clinical outcome. Here, we show that proteome profiles of EVs secreted by different breast cancer cell lines are highly indicative of their respective molecular subtypes, even more so than the proteome changes within the cancer cells. Moreover, we detected molecular evidence for subtype-specific biological processes and molecular pathways, hyperphosphorylated receptors and kinases in connection with the disease, and compiled a set of protein signatures that closely reflect the associated clinical pathophysiology. These unique features revealed in our work, replicated in clinical material, collectively demonstrate the potential of secreted EVs to differentiate between breast cancer subtypes and show the prospect of their use as non-invasive liquid biopsies for diagnosis and management of breast cancer patients. Nature Publishing Group UK 2019-09-03 /pmc/articles/PMC6722120/ /pubmed/31508500 http://dx.doi.org/10.1038/s42003-019-0570-8 Text en © The Author(s) 2019 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 Rontogianni, Stamatia Synadaki, Eleni Li, Bohui Liefaard, Marte C. Lips, Esther H. Wesseling, Jelle Wu, Wei Altelaar, Maarten Proteomic profiling of extracellular vesicles allows for human breast cancer subtyping |
title | Proteomic profiling of extracellular vesicles allows for human breast cancer subtyping |
title_full | Proteomic profiling of extracellular vesicles allows for human breast cancer subtyping |
title_fullStr | Proteomic profiling of extracellular vesicles allows for human breast cancer subtyping |
title_full_unstemmed | Proteomic profiling of extracellular vesicles allows for human breast cancer subtyping |
title_short | Proteomic profiling of extracellular vesicles allows for human breast cancer subtyping |
title_sort | proteomic profiling of extracellular vesicles allows for human breast cancer subtyping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722120/ https://www.ncbi.nlm.nih.gov/pubmed/31508500 http://dx.doi.org/10.1038/s42003-019-0570-8 |
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