ArticleJournal of hepatocellular carcinoma2023
A Single-Step Immunocapture Assay to Quantify HCC Exosomes Using the Highly Sensitive Fluorescence Nanoparticle-Tracking Analysis.
Article in Journal of hepatocellular carcinoma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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Who cites it
13 citing papers in PubMed, 16 citations in OpenAlex.
- Non-Invasive Assessment of Microvascular Invasion Risk in Hepatocellular Carcinoma Using Liquid Biopsy: Translational Insights and Clinical Implications.Diagnostics (Basel, Switzerland) · 2026Review
- Article
- The Application of Nanomaterials in the Detection of Liver Cancer Biomarkers.International journal of nanomedicine · 2026Review
- Long-Term Stabilization of Non-Bovine Milk Exosomes Using Lyophilization: Toward Oral Delivery of PROTAC Therapeutics.Journal of drug delivery science and technology · 2026Article
- Extracellular vesicle digital scoring assay for assessment of treatment responses in hepatocellular carcinoma patients.Journal of experimental & clinical cancer research : CR · 2025Article
- Extracellular vesicles as therapeutic modulators of neuroinflammation in Alzheimer's disease: a focus on signaling mechanisms.Journal of neuroinflammation · 2025Review
- Evaluating the In Situ Effects of Whole Protein Coronas on the Biosensing of Antibody-Immobilized Nanoparticles Using Two-Color Fluorescence Nanoparticle Tracking Analysis.Nanomaterials (Basel, Switzerland) · 2025Article
- Stem Cell Exosomes for Osteoarthritis in Veterinary Medicine.Stem cells international · 2025Review
- Exosome-Based Therapeutics in Dermatology.Biomaterials research · 2025Review
- Nanoparticle Tracking Analysis: An Effective Tool to Characterize Extracellular Vesicles.Molecules (Basel, Switzerland) · 2024Review
- Role of extracellular vesicle-associated proteins in the progression, diagnosis, and treatment of hepatocellular carcinoma.Cell & bioscience · 2024Review
- Factors to consider before choosing EV labeling method for fluorescence-based techniques.Frontiers in bioengineering and biotechnology · 2024Review
- Overcoming drug resistance through extracellular vesicle-based drug delivery system in cancer treatment.Cancer drug resistance (Alhambra, Calif.) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Introduction: Extracellular vesicles could serve as a non-invasive biomarker for early cancer detection. However, limited methods to quantitate cancer-derived vesicles in the native state remain a significant barrier to clinical translation. Aim: This research aims to develop a rapid, one-step immunoaffinity approach to quantify HCC exosomes directly from a small serum volume. Methods: HCC-derived exosomes in the serum were captured using fluorescent phycoerythrin (PE)-conjugated antibodies targeted to GPC3 and alpha-fetoprotein (AFP). Total and HCC-specific exosomes were then quantified in culture supernatant or patient-derived serums using fluorescence nanoparticle tracking analysis (F-NTA). The performance of HCC exosome quantification in the serum was compared with the tumor size determined by MRI. Results: Initially we tested the detection limits of the F-NTA using synthetic fluorescent and non-fluorescent beads. The assay showed an acceptable sensitivity with a detection range of 10 Conclusion: We developed an immunocapture assay that can be used for simultaneous isolation and quantification of HCC-derived exosomes from a small serum volume with high accuracy.
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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.