Early Detection and Investigation of Extracellular Vesicles Biomarkers in Breast Cancer.

biomarkers breast cancer extracellular vesicles liquid biopsy plasma

Journal

Frontiers in molecular biosciences
ISSN: 2296-889X
Titre abrégé: Front Mol Biosci
Pays: Switzerland
ID NLM: 101653173

Informations de publication

Date de publication:
2021
Historique:
received: 29 06 2021
accepted: 07 09 2021
entrez: 25 11 2021
pubmed: 26 11 2021
medline: 26 11 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34820420
doi: 10.3389/fmolb.2021.732900
pii: 732900
pmc: PMC8606536
doi:

Types de publication

Journal Article

Langues

eng

Pagination

732900

Informations de copyright

Copyright © 2021 Bandini, Rossi, Scarpi, Gallerani, Vannini, Salvi, Azzali, Melloni, Salucci, Battistelli, Serra, Maltoni, Cho and Fabbri.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Erika Bandini (E)

Biosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Tania Rossi (T)

Biosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Emanuela Scarpi (E)

Biostatistics and Clinical Trials Unit, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Giulia Gallerani (G)

Biosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Ivan Vannini (I)

Biosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Samanta Salvi (S)

Biosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Irene Azzali (I)

Biostatistics and Clinical Trials Unit, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Mattia Melloni (M)

Biosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Sara Salucci (S)

Cellular Signalling Laboratory, Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.

Michela Battistelli (M)

Department of Biomolecular Sciences, University of Urbino Carlo Bo, Urbino, Italy.

Patrizia Serra (P)

Biostatistics and Clinical Trials Unit, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Roberta Maltoni (R)

Department of Medical Oncology, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

William C Cho (WC)

Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong, China.

Francesco Fabbri (F)

Biosciences Laboratory, IRCCS Istituto Romagnolo per Lo Studio Dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Classifications MeSH