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Early Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer
Breast cancer (BC) is the most commonly diagnosed malignant tumor in women worldwide, and the leading cause of cancer death in the female population. The percentage of patients experiencing poor prognosis along with the risk of developing metastasis remains high, also affecting the resistance to cur...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606536/ https://www.ncbi.nlm.nih.gov/pubmed/34820420 http://dx.doi.org/10.3389/fmolb.2021.732900 |
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author | Bandini, Erika Rossi, Tania Scarpi, Emanuela Gallerani, Giulia Vannini, Ivan Salvi, Samanta Azzali, Irene Melloni, Mattia Salucci, Sara Battistelli, Michela Serra, Patrizia Maltoni, Roberta Cho, William C. Fabbri, Francesco |
author_facet | Bandini, Erika Rossi, Tania Scarpi, Emanuela Gallerani, Giulia Vannini, Ivan Salvi, Samanta Azzali, Irene Melloni, Mattia Salucci, Sara Battistelli, Michela Serra, Patrizia Maltoni, Roberta Cho, William C. Fabbri, Francesco |
author_sort | Bandini, Erika |
collection | PubMed |
description | Breast cancer (BC) is the most commonly diagnosed malignant tumor in women worldwide, and the leading cause of cancer death in the female population. The percentage of patients experiencing poor prognosis along with the risk of developing metastasis remains high, also affecting the resistance to current main therapies. Cancer progression and metastatic development are no longer due entirely to their intrinsic characteristics, but also regulated by signals derived from cells of the tumor microenvironment. Extracellular vesicles (EVs) packed with DNA, RNA, and proteins, are the most attractive targets for both diagnostic and therapeutic applications, and represent a decisive challenge as liquid biopsy-based markers. Here we performed a study based on a multiplexed phenotyping flow cytometric approach to characterize BC-derived EVs from BC patients and cell lines, through the detection of multiple antigens. Our data reveal the expression of EVs-related biomarkers derived from BC patient plasma and cell line supernatants, suggesting that EVs could be exploited for characterizing and monitoring disease progression. |
format | Online Article Text |
id | pubmed-8606536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86065362021-11-23 Early Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer Bandini, Erika Rossi, Tania Scarpi, Emanuela Gallerani, Giulia Vannini, Ivan Salvi, Samanta Azzali, Irene Melloni, Mattia Salucci, Sara Battistelli, Michela Serra, Patrizia Maltoni, Roberta Cho, William C. Fabbri, Francesco Front Mol Biosci Molecular Biosciences Breast cancer (BC) is the most commonly diagnosed malignant tumor in women worldwide, and the leading cause of cancer death in the female population. The percentage of patients experiencing poor prognosis along with the risk of developing metastasis remains high, also affecting the resistance to current main therapies. Cancer progression and metastatic development are no longer due entirely to their intrinsic characteristics, but also regulated by signals derived from cells of the tumor microenvironment. Extracellular vesicles (EVs) packed with DNA, RNA, and proteins, are the most attractive targets for both diagnostic and therapeutic applications, and represent a decisive challenge as liquid biopsy-based markers. Here we performed a study based on a multiplexed phenotyping flow cytometric approach to characterize BC-derived EVs from BC patients and cell lines, through the detection of multiple antigens. Our data reveal the expression of EVs-related biomarkers derived from BC patient plasma and cell line supernatants, suggesting that EVs could be exploited for characterizing and monitoring disease progression. Frontiers Media S.A. 2021-11-08 /pmc/articles/PMC8606536/ /pubmed/34820420 http://dx.doi.org/10.3389/fmolb.2021.732900 Text en Copyright © 2021 Bandini, Rossi, Scarpi, Gallerani, Vannini, Salvi, Azzali, Melloni, Salucci, Battistelli, Serra, Maltoni, Cho and Fabbri. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Molecular Biosciences Bandini, Erika Rossi, Tania Scarpi, Emanuela Gallerani, Giulia Vannini, Ivan Salvi, Samanta Azzali, Irene Melloni, Mattia Salucci, Sara Battistelli, Michela Serra, Patrizia Maltoni, Roberta Cho, William C. Fabbri, Francesco Early Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer |
title | Early Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer |
title_full | Early Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer |
title_fullStr | Early Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer |
title_full_unstemmed | Early Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer |
title_short | Early Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer |
title_sort | early detection and investigation of extracellular vesicles biomarkers in breast cancer |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606536/ https://www.ncbi.nlm.nih.gov/pubmed/34820420 http://dx.doi.org/10.3389/fmolb.2021.732900 |
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