ReviewInternational journal of nanomedicine2021
Progress in Nanomaterials-Based Optical and Electrochemical Methods for the Assays of Exosomes.
Review in International journal of nanomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 25 citations in OpenAlex.
- Nanomaterial-based total analysis systems for isolation and detection of exosomal biomarkers in cancer diagnosis.Materials today. Bio · 2026Review
- Electrochemical Biosensors for Exosome Detection: Current Advances, Challenges, and Prospects for Glaucoma Diagnosis.Sensors (Basel, Switzerland) · 2026Review
- Dendritic Cell-Derived Exosomes: Next Generation of Cancer Immunotherapy.Biomedicines · 2025Review
- Advances in electrochemical biosensors for the detection of tumor-derived exosomes.Frontiers in chemistry · 2025Review
- Increasing the sensitivity and accuracy of detecting exosomes as biomarkers for cancer monitoring using optical nanobiosensors.Cancer cell international · 2024Review
- Emerging advanced approaches for liquid biopsy:Theranostics · 2024Review
- Exosomes as Powerful Biomarkers in Cancer: Recent Advances in Isolation and Detection Techniques.International journal of nanomedicine · 2024Review
- Graphene Sensor Arrays for Rapid and Accurate Detection of Pancreatic Cancer Exosomes in Patients' Blood Plasma Samples.ACS nano · 2023Article
- Microfluidic Platforms for the Isolation and Detection of Exosomes: A Brief Review.Micromachines · 2022Review
- Exosomes as Crucial Players in Pathogenesis of Systemic Lupus Erythematosus.Journal of immunology research · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exosomes with diameters of 30-150 nm are small membrane-bound vesicles secreted by a variety of cells. They play an important role in many biological processes, such as tumor-related immune response and intercellular signal transduction. Exosomes have been considered as emerging and noninvasive biomarkers for cancer diagnosis. Recently, a large number of optical and electrochemical biosensors have been proposed for sensitive detection of exosomes. To meet the increasing demands for ultrasensitive detection, nanomaterials have been integrated with various techniques as powerful components. Because of their intrinsic merits of biological compatibility, excellent physicochemical features and unique catalytic ability, nanomaterials have significantly improved the analytical performances of exosome biosensors. In this review, we summarized the recent progress in nanomaterials-based biosensors for the detection of cancer-derived exosomes, including fluorescence, colorimetry, surface plasmon resonance spectroscopy, surface enhanced Raman scattering spectroscopy, electrochemistry, electrochemiluminescence and so on.
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.