ReviewJournal of extracellular vesicles2021
Emerging methods in biomarker identification for extracellular vesicle-based liquid biopsy.
Review in Journal of extracellular vesicles, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 2 of them syntheses 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
100 citing papers in PubMed, 2 syntheses or guidelines pooled it, 171 citations in OpenAlex.
- Evidence of cancer: a systematic review of metabolomics in extracellular vesicles for cancer biomarker detection.Metabolomics : Official journal of the Metabolomic Society · 2025Pooled it
- Prognostic value of extracellular vesicles in colorectal cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Pooled it
- iEVIP: a dual-inspired intelligent platform for smart response extracellular vesicle isolation and single-vesicle profiling.Nature communications · 2026Article
- Extracellular Vesicles in Cancer: Biomarkers, Mechanisms, and Emerging Diagnostic Technologies.Advanced healthcare materials · 2026Review
- Direct delivery of assay reagents to extracellular vesicles in liquid biopsies for biomarker analysis.Nature protocols · 2026Review
- Extracellular vesicle and particle biomarkers in cancer: a machine learning blueprint for liquid biopsy.Journal of nanobiotechnology · 2026Review
- Divalent aptamer-mediated clustering for extracellular vesicle separation.Communications biology · 2026Article
- Extracellular Vesicles as Biomarkers for Vascular Disease.Biomolecules · 2026Review
- Nanomaterial-based total analysis systems for isolation and detection of exosomal biomarkers in cancer diagnosis.Materials today. Bio · 2026Review
- Reply.The journal of allergy and clinical immunology. Global · 2026Article
- Development of Endogenous Protein Probes for Characterizing Surface Proteins and Cellular Interactors of Extracellular Vesicles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Normalization strategies for protein quantification in plasma astrocyte-derived extracellular vesicles: a clinical applicability study.BMC psychiatry · 2026Article
- Harnessing extracellular vesicles for ischemic stroke management.Regenerative biomaterials · 2026Review
- The interplay between exosomal miRNAs and cytokine networks in metabolic diseases.Frontiers in cell and developmental biology · 2026Review
- Therapeutic Potential of Mesenchymal Stem Cell-Derived Extracellular Vesicles in Digestive System Tumors: Modulating the Chronic Inflammatory Microenvironment.International journal of nanomedicine · 2026Review
- Extracellular vesicle biomarkers: current status and future perspectives as novel tools in liquid biopsy.Frontiers in immunology · 2026Review
- Transcriptomic Profiles from Stereo-EEGs May Reflect the Local Brain Cell Microenvironment in Human Epilepsy.Biomolecules · 2025Article
- Cell type inference in cell-free nucleic acid liquid biopsy.Nature biotechnology · 2025Review
- Therapeutic potential of plant-derived exosome-like nanoparticles for CNS diseases: advancements in preparation and characterization.Annals of medicine · 2025Review
- PLUS: Primary Layer for Universal Sensing Enabling Improved Immunocapture of Biomarkers in Clinical Scenarios.Advanced healthcare materials · 2025Article
40 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
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Extracellular vesicles (EVs) are released by many cell types and distributed within various biofluids. EVs have a lipid membrane-confined structure that allows for carrying unique molecular information originating from their parent cells. The species and quantity of EV cargo molecules, including nucleic acids, proteins, lipids, and metabolites, may vary largely owing to their parent cell types and the pathophysiologic status. Such heterogeneity in EV populations provides immense challenges to researchers, yet allows for the possibility to prognosticate the pathogenesis of a particular tissue from unique molecular signatures of dispersing EVs within biofluids. However, the inherent nature of EV's small size requires advanced methods for EV purification and evaluation from the complex biofluid. Recently, the interdisciplinary significance of EV research has attracted growing interests, and the EV analytical platforms for their diagnostic prospect have markedly progressed. This review summarizes the recent advances in these EV detection techniques and methods with the intention of translating an EV-based liquid biopsy into clinical practice. This article aims to present an overview of current EV assessment techniques, with a focus on their progress and limitations, as well as an outlook on the clinical translation of an EV-based liquid biopsy that may augment current paradigms for the diagnosis, prognosis, and monitoring the response to therapy in a variety of disease settings.
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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.