ArticleACS applied materials & interfaces2023
Dual Imaging Single Vesicle Surface Protein Profiling and Early Cancer Detection.
Article in ACS applied materials & interfaces, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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
19 citing papers in PubMed, 27 citations in OpenAlex.
- Extracellular vesicles in breast cancer metastasis: functional insights and advances in single-EV analysis.Cancer metastasis reviews · 2026Review
- Integrin-Defined Plasma Extracellular Vesicles for Early Breast Cancer Detection and Bone Metastasis Association.ACS applied nano materials · 2026Article
- Small extracellular vesicles in tumor metabolism and immune escape: biomarkers and therapeutic opportunities.Molecular biology reports · 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
- Visualizing extracellular vesicles in cancer: from biogenesis to theranostic applications.Journal of nanobiotechnology · 2026Review
- Multifunctional gold nanoparticles: bridging detection, diagnosis, and targeted therapy in cancer.Molecular cancer · 2025Review
- Bridging laboratory innovation to translational research and commercialization of extracellular vesicle isolation and detection.Biosensors & bioelectronics · 2025Review
- Plasmonic Nanostructures for Exosome Biosensing: Enabling High-Sensitivity Diagnostics.Nanomaterials (Basel, Switzerland) · 2025Review
- Identification of Tumor-Specific Surface Proteins Enables Quantification of Extracellular Vesicle Subtypes for Early Detection of Pancreatic Ductal Adenocarcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Magnetic-Plasmonic Core-Shell Nanoparticles: Properties, Synthesis and Applications for Cancer Detection and Treatment.Nanomaterials (Basel, Switzerland) · 2025Review
- Stoichiometric constraints for detection of EV-borne biomarkers in blood.Journal of extracellular vesicles · 2025Review
- Small extracellular vesicle-associated surface protein biomarkers: emerging roles, opportunities, and challenges in diagnostics.Frontiers in bioengineering and biotechnology · 2025Review
- Synergistic integration of extracellular vesicles and metal-organic frameworks: unlocking new opportunities in disease diagnosis and therapy.Theranostics · 2025Review
- Recent Advancements in Imaging Techniques for Individual Extracellular Vesicles.Molecules (Basel, Switzerland) · 2024Review
- Single-Extracellular-Vesicle Detection with a Plasmonic Chip and Enhanced Fluorescence Microscopy.ACS omega · 2024Article
- Single Vesicle Surface Protein Profiling and Machine Learning-Based Dual Image Analysis for Breast Cancer Detection.Nanomaterials (Basel, Switzerland) · 2024Article
- Optical Imaging of Single Extracellular Vesicles: Recent Progress and Prospects.Chemical & biomedical imaging · 2024Review
- Emerging advanced approaches for liquid biopsy:Theranostics · 2024Review
- Nanomaterials for Molecular Detection and Analysis of Extracellular Vesicles.Nanomaterials (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
Single vesicle molecular profiling has the potential to transform cancer detection and monitoring by precisely probing cancer-associated extracellular vesicles (EVs) in the presence of normal EVs in body fluids, but it is challenging due to the small EV size, low abundance of antigens on individual vesicles, and a complex biological matrix. Here, we report a facile dual imaging single vesicle technology (DISVT) for surface protein profiling of individual EVs and quantification of target-specific EV subtypes based on direct molecular capture of EVs from diluted biofluids, dual EV-protein fluorescence-light scattering imaging, and fast image analysis using Bash scripts, Python, and ImageJ. Plasmonic gold nanoparticles (AuNPs) were used to label and detect targeted surface protein markers on individual EVs with dark-field light scattering imaging at the single particle level. Monte Carlo calculations estimated that the AuNPs could detect EVs down to 40 nm in diameter. Using the DISVT, we profiled surface protein markers of interest across individual EVs derived from several breast cancer cell lines, which reflected the parental cells. Studies with plasma EVs from healthy donors and breast cancer patients revealed that the DISVT, but not the traditional bulk enzyme-linked immunosorbent assay, detected human epidermal growth factor receptor 2 (HER2)-positive breast cancer at an early stage. The DISVT also precisely differentiated HER2-positive breast cancer from HER2-negative breast cancer. We additionally showed that the amount of tumor-associated EVs was tripled in locally advanced patients compared to that in early-stage patients. These studies suggest that single EV surface protein profiling with DISVT can provide a facile and high-sensitivity method for early cancer detection and quantitative monitoring.
Indexed as
Identifiers
What OpenQuestion holds
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.