ArticleBreast cancer research and treatment2022
Fast quantification of extracellular vesicles levels in early breast cancer patients by Single Molecule Detection Array (SiMoA).
Article in Breast cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- Extracellular vesicles in breast cancer metastasis: functional insights and advances in single-EV analysis.Cancer metastasis reviews · 2026Review
- Elevated Circulating Extracellular Vesicles as Prognostic Biomarkers in Cervical Cancer Progression.Biomedicines · 2026Article
- Application of extracellular vesicles in the CRISPR-based diagnosis and treatment: possibilities and challenges.Journal of biological engineering · 2026Review
- Extracellular Vesicles as Novel Biomarkers for Tumor Association in Intermediate-Risk Paraneoplastic Neurologic Syndromes.Neurology(R) neuroimmunology & neuroinflammation · 2025Observational
- Rolling Circle Amplification as a Molecular Tool for Spatially Resolved Signal Amplification in Single Molecule Counting Assay.Biosensors · 2025Review
- Extracellular Vesicles for Clinical Diagnostics: From Bulk Measurements to Single-Vesicle Analysis.ACS nano · 2025Review
- Detection of p53 aggregates in plasma of glioma patients.Communications medicine · 2025Article
- Analytical techniques for nucleic acid and protein detection with single-molecule sensitivity.Experimental & molecular medicine · 2025Review
- A Mem-dELISA platform for dual color and ultrasensitive digital detection of colocalized proteins on extracellular vesicles.Biosensors & bioelectronics · 2025Article
- Secretome Analysis Using Affinity Proteomics and Immunoassays: A Focus on Tumor Biology.Molecular & cellular proteomics : MCP · 2024Review
- Addressing Heterogeneity in Direct Analysis of Extracellular Vesicles and Their Analogs by Membrane Sensing Peptides as Pan-Vesicular Affinity Probes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Before Translating Extracellular Vesicles into Personalized Diagnostics and Therapeutics: What We Could Do.Molecular pharmaceutics · 2024Review
- Extracellular Vesicles in Breast Cancer: From Intercellular Communication to Therapeutic Opportunities.Pharmaceutics · 2024Review
- Hsp70 and Calcitonin Receptor Protein in Extracellular Vesicles from Glioblastoma Multiforme: Biomarkers with Putative Roles in Carcinogenesis and Potential for Differentiating Tumor Types.International journal of molecular sciences · 2024Article
- Ultrasensitive and High-Resolution Protein Spatially Decoding Framework for Tumor Extracellular Vesicles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Ultrasensitive Protein Detection Technologies for Extracellular Vesicle Measurements.Molecular & cellular proteomics : MCP · 2023Article
- Expression of Epithelial and Mesenchymal Markers in Plasmatic Extracellular Vesicles as a Diagnostic Tool for Neoplastic Processes.International journal of molecular sciences · 2023Article
- Comparing digital detection platforms in high sensitivity immune-phenotyping of extracellular vesicles.Journal of extracellular biology · 2022Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
purposePreliminary 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).
methodsBy 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.
resultsThe 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.
conclusionSiMoA 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.
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