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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,...

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Autores principales: Rontogianni, Stamatia, Synadaki, Eleni, Li, Bohui, Liefaard, Marte C., Lips, Esther H., Wesseling, Jelle, Wu, Wei, Altelaar, Maarten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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.
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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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