ArticleScience advances2020
Proteomic analysis of circulating extracellular vesicles identifies potential markers of breast cancer progression, recurrence, and response.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
64 citing papers in PubMed, 1 synthesis or guideline pooled it, 104 citations in OpenAlex.
- Machine learning-based analysis of cancer cell-derived vesicular proteins revealed significant tumor-specificity and predictive potential of extracellular vesicles for cell invasion and proliferation - A meta-analysis.Cell communication and signaling : CCS · 2023Pooled it
- Identifying Potential Exosome-Derived mRNA Biomarkers for Diagnosis and Prediction of Breast Cancer Using Machine-Learning Approaches.Interdisciplinary sciences, computational life sciences · 2026Article
- Extracellular Vesicles as a Potential Tool in Cancer Diagnosis and Therapy.Biomedicines · 2026Review
- Early Detection and Inhibition of Post-Surgical Cancer Recurrence by Synthetic Extracellular Vesicles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Clinical Applications of Blood-Derived Extracellular Vesicle Biomarkers in Breast Cancer: A Scoping Review.International journal of molecular sciences · 2026Article
- Automated disc device for multiplexed extracellular vesicle isolation and labelling from liquid biopsies in cancer diagnostics.Nature biomedical engineering · 2026Article
- Cargo molecules in plasma neural-derived extracellular vesicles reveal pathological signatures of primary open-angle glaucoma.Journal of translational medicine · 2026Article
- Recent advances in machine learning-enhanced extracellular vesicle omics for oncology.Journal of nanobiotechnology · 2026Review
- Small extracellular vesicles as system-level regulators and predictive biomarkers in breast cancer progression and chemoresistance.Frontiers in pharmacology · 2026Review
- Autophagic extracellular vesicles (AEVs) are distinct from exosomes and play crucial roles in viral infections.Nature communications · 2025Article
- New insights into extracellular vesicles in metastatic cancer: From mechanisms to diagnostics and targeted therapies.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Review
- Innovative Approaches to EMT-Related Biomarker Identification in Breast Cancer: Multi-Omics and Machine Learning Methods.Biotech (Basel (Switzerland)) · 2025Review
- A functionally tunable magnetic nanochains platform for N-glycoproteomic analysis of extracellular vesicles from ultratrace biofluids.Nature communications · 2025Article
- Extracellular Vesicles in cancer: from isolation and characterization to metastasis, drug resistance, and clinical applications.BMC cancer · 2025Review
- Article
- Extracellular Vesicle Proteome Analysis Improves Diagnosis of Recurrence in Triple-Negative Breast Cancer.Journal of extracellular vesicles · 2025Article
- Proteomics in Diagnostic Evaluation and Treatment of Breast Cancer: A Scoping Review.Journal of personalized medicine · 2025Review
- Extracellular Vesicle-Based Strategies for Tumor Immunotherapy.Pharmaceutics · 2025Review
- Bottom-up Biomaterial strategies for creating tailored stem cells in regenerative medicine.Frontiers in bioengineering and biotechnology · 2025Review
- Proteomics appending a complementary dimension to precision oncotherapy.Computational and structural biotechnology journal · 2024Review
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Proteomic profiling of circulating small extracellular vesicles (sEVs) represents a promising, noninvasive approach for early detection and therapeutic monitoring of breast cancer (BC). We describe a relatively low-cost, fast, and reliable method to isolate sEVs from plasma of BC patients and analyze their protein content by semiquantitative proteomics. sEV-enriched fractions were isolated from plasma of healthy controls and BC patients at different disease stages before and after surgery. Proteomic analysis of sEV-enriched fractions using reverse phase protein array revealed a signature of seven proteins that differentiated BC patients from healthy individuals, of which FAK and fibronectin displayed high diagnostic accuracy. The size of sEVs was significantly reduced in advanced disease stage, concomitant with a stage-specific protein signature. Furthermore, we observed protein-based distinct clusters of healthy controls, chemotherapy-treated and untreated postsurgery samples, as well as a predictor of high risk of cancer relapse, suggesting that the applied methods warrant development for advanced diagnostics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.