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

Guardado en:
Detalles Bibliográficos
Autores principales: Erika Bandini, Tania Rossi, Emanuela Scarpi, Giulia Gallerani, Ivan Vannini, Samanta Salvi, Irene Azzali, Mattia Melloni, Sara Salucci, Michela Battistelli, Patrizia Serra, Roberta Maltoni, William C. Cho, Francesco Fabbri
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://doaj.org/article/a2883136b93b4a32a4c6096fa762fe88
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:a2883136b93b4a32a4c6096fa762fe88
record_format dspace
spelling oai:doaj.org-article:a2883136b93b4a32a4c6096fa762fe882021-11-08T05:15:59ZEarly Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer2296-889X10.3389/fmolb.2021.732900https://doaj.org/article/a2883136b93b4a32a4c6096fa762fe882021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmolb.2021.732900/fullhttps://doaj.org/toc/2296-889XBreast 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.Erika BandiniTania RossiEmanuela ScarpiGiulia GalleraniIvan VanniniSamanta SalviIrene AzzaliMattia MelloniSara SalucciMichela BattistelliPatrizia SerraRoberta MaltoniWilliam C. ChoFrancesco FabbriFrontiers Media S.A.articlebreast cancerextracellular vesiclesplasmaliquid biopsybiomarkersBiology (General)QH301-705.5ENFrontiers in Molecular Biosciences, Vol 8 (2021)
institution DOAJ
collection DOAJ
language EN
topic breast cancer
extracellular vesicles
plasma
liquid biopsy
biomarkers
Biology (General)
QH301-705.5
spellingShingle breast cancer
extracellular vesicles
plasma
liquid biopsy
biomarkers
Biology (General)
QH301-705.5
Erika Bandini
Tania Rossi
Emanuela Scarpi
Giulia Gallerani
Ivan Vannini
Samanta Salvi
Irene Azzali
Mattia Melloni
Sara Salucci
Michela Battistelli
Patrizia Serra
Roberta Maltoni
William C. Cho
Francesco Fabbri
Early Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer
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 article
author Erika Bandini
Tania Rossi
Emanuela Scarpi
Giulia Gallerani
Ivan Vannini
Samanta Salvi
Irene Azzali
Mattia Melloni
Sara Salucci
Michela Battistelli
Patrizia Serra
Roberta Maltoni
William C. Cho
Francesco Fabbri
author_facet Erika Bandini
Tania Rossi
Emanuela Scarpi
Giulia Gallerani
Ivan Vannini
Samanta Salvi
Irene Azzali
Mattia Melloni
Sara Salucci
Michela Battistelli
Patrizia Serra
Roberta Maltoni
William C. Cho
Francesco Fabbri
author_sort Erika Bandini
title 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_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_sort early detection and investigation of extracellular vesicles biomarkers in breast cancer
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/a2883136b93b4a32a4c6096fa762fe88
work_keys_str_mv AT erikabandini earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT taniarossi earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT emanuelascarpi earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT giuliagallerani earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT ivanvannini earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT samantasalvi earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT ireneazzali earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT mattiamelloni earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT sarasalucci earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT michelabattistelli earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT patriziaserra earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT robertamaltoni earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT williamccho earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
AT francescofabbri earlydetectionandinvestigationofextracellularvesiclesbiomarkersinbreastcancer
_version_ 1718442933317795840