Fast quantification of extracellular vesicles levels in early breast cancer patients by Single Molecule Detection Array (SiMoA).

Biomarker Breast cancer Extracellular vesicles Immunoassay SiMoA Tetraspanins

Journal

Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 06 08 2021
accepted: 02 12 2021
pubmed: 23 12 2021
medline: 16 2 2022
entrez: 22 12 2021
Statut: ppublish

Résumé

Preliminary reports suggest that extracellular vesicles (EVs) might be a promising biomarker for breast cancer (BC). However, the quantification of plasmatic levels of EVs is a complex task. To overcome these limitations, we developed a new, fast, and easy to use assay for the quantification of EVs directly in plasma based on the use of Single-Molecule Array (SiMoA). By using SiMoA to identify CD9+/CD63+ EVs, we analyzed plasma samples of 181 subjects (95 BC and 86 healthy controls, HC). A calibration curve, made of a serial dilution of lyophilized standards from human plasma, was used in each run to ensure the obtainment of quantitative results from the assay. In a subgroup of patients, EVs concentrations were estimated in plasma before and after 30 days from cancer surgery. Additional information on the size of EVs were also acquired using a Nanosight system to obtain a clearer understanding of the mechanism underlying the releases of EVs associated with the presence of cancer. The measured levels of EVs resulted significantly higher in BC patients (median values 1179.1 ng/µl vs 613.0 ng/µl, p < 0.0001). ROC curve was used to define the optimal cut-off level of the test at 1034.5 ng/µl with an AUC of 0.75 [95% CI 0.68-0.82]. EVs plasmatic concentrations significantly decreased after cancer surgery compared to baseline values (p = 0.014). No correlation was found between EVs concentration and clinical features of BC. SiMoA assay allows plasmatic EVs levels detection directly without any prior processing. EVs levels are significantly higher in BC patients and significantly decreases after cancer surgery.

Identifiants

pubmed: 34935096
doi: 10.1007/s10549-021-06474-3
pii: 10.1007/s10549-021-06474-3
pmc: PMC8841315
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

65-74

Subventions

Organisme : Ministero della Salute
ID : Ricerca Corrente

Informations de copyright

© 2021. The Author(s).

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Auteurs

Carlo Morasso (C)

Laboratory of Nanomedicine, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.

Alessandra Ricciardi (A)

Laboratory of Nanomedicine, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.

Daisy Sproviero (D)

Genomic and Post-Genomic Center, IRCCS Mondino Foundation, Pavia, Italy.

Marta Truffi (M)

Laboratory of Nanomedicine, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.

Sara Albasini (S)

Breast Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.

Francesca Piccotti (F)

Laboratory of Nanomedicine, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.

Federico Sottotetti (F)

Medical Oncology Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.

Ludovica Mollica (L)

Medical Oncology Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.

Cristina Cereda (C)

Genomic and Post-Genomic Center, IRCCS Mondino Foundation, Pavia, Italy.

Luca Sorrentino (L)

Colorectal Surgery Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Fabio Corsi (F)

Breast Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy. fabio.corsi@unimi.it.
Dipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università di Milano, Via G.B. Grassi, 74, 20157, Milan, Italy. fabio.corsi@unimi.it.

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