ArticleNature communications2021
Protein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
125 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A critical systematic review of extracellular vesicle clinical trials.Journal of extracellular vesicles · 2024Pooled it
- Artificial intelligence and extracellular vesicles in oncology: towards tumor diagnosis, prediction, and therapy.Drug delivery · 2026Review
- Protein-protein interactions as therapeutic targets in breast cancer: integrated computational and experimental advances, mechanisms and clinical translation.Molecular biology reports · 2026Review
- Extracellular Vesicles in Cancer: Biomarkers, Mechanisms, and Emerging Diagnostic Technologies.Advanced healthcare materials · 2026Review
- A Bioinspired Three-Dimensional High-Curvature Nano-Interface Integrated Microfluidic Chip for Small Extracellular Vesicles Enrichment and Machine Learning-Assisted Prostate Cancer Precision Diagnosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Non-Invasive Diagnosis of Early Breast Cancer: Current and Emerging Liquid Biopsy Biomarkers.Cancers · 2026Review
- Detection of MSI signals from peripheral blood for monitoring response to immune checkpoint blockade therapy in patients with advanced microsatellite-unstable gastrointestinal cancers: A pilot study.International journal of cancer · 2026Article
- Exosomes liquid biopsy in Lymphoma precision medicine: applications and challenges.Cancer cell international · 2026Review
- Research advances in aptamers in the diagnosis and treatment of breast cancer (Review).International journal of oncology · 2026Review
- Extracellular vesicle cargo dynamics in the bone marrow microenvironment: from hematopoietic homeostasis to malignant transformation.Extracellular vesicle · 2026Article
- Magnetic Levitation Derived Metabolomic Fingerprinting Enables Exploratory Discrimination of Breast Cancer Subtypes.bioRxiv : the preprint server for biology · 2026Article
- Clinical Applications of Blood-Derived Extracellular Vesicle Biomarkers in Breast Cancer: A Scoping Review.International journal of molecular sciences · 2026Article
- Review
- The 'sugar' side of extracellular vesicle-glycome: a panorama from basic characteristics, deciphering technologies, functions, to applications.Journal of nanobiotechnology · 2026Review
- Decoding Immune Dysregulation in Sepsis Through Extracellular Vesicles: A Path to Precision Medicine.Pharmaceutics · 2026Review
- Detection of Extracellular Vesicles with Colocalized Surface Markers via a Capture-Release-Capture Strategy for Treatment Monitoring in Ewing Sarcoma.Advanced healthcare materials · 2026Article
- Automated Cryo-EM and Supervised Machine Learning Enable Reproducible Characterization of Extracellular Vesicles and Co-Isolating Particles.Journal of extracellular vesicles · 2026Article
- An Extracellular Vesicle Protein-Based Machine Learning Framework for Early Detection of Oesophageal Squamous Cell Carcinoma: A Multicentre, Prospective Study.Journal of extracellular vesicles · 2026Article
- A One-Step Workflow for Size-Based Separation of Extracellular Vesicles With Integrated Surface Marker Detection.Journal of extracellular biology · 2026Article
- Challenges and Opportunities in State-of-the-Art Proteomics Analysis for Biomarker Development From Plasma Extracellular Vesicles.Proteomics · 2026Review
65 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
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molecular profiling of circulating extracellular vesicles (EVs) provides a promising noninvasive means to diagnose, monitor, and predict the course of metastatic breast cancer (MBC). However, the analysis of EV protein markers has been confounded by the presence of soluble protein counterparts in peripheral blood. Here we use a rapid, sensitive, and low-cost thermophoretic aptasensor (TAS) to profile cancer-associated protein profiles of plasma EVs without the interference of soluble proteins. We show that the EV signature (a weighted sum of eight EV protein markers) has a high accuracy (91.1 %) for discrimination of MBC, non-metastatic breast cancer (NMBC), and healthy donors (HD). For MBC patients undergoing therapies, the EV signature can accurately monitor the treatment response across the training, validation, and prospective cohorts, and serve as an independent prognostic factor for progression free survival in MBC patients. Together, this work highlights the potential clinical utility of EVs in management of MBC.
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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.