Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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
_version_ 1784602352946249728
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
work_keys_str_mv AT bandinierika earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT rossitania earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT scarpiemanuela earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT galleranigiulia earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT vanniniivan earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT salvisamanta earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT azzaliirene earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT mellonimattia earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT saluccisara earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT battistellimichela earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT serrapatrizia earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT maltoniroberta earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT chowilliamc earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT fabbrifrancesco earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer