ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022
Digital Decoding of Single Extracellular Vesicle Phenotype Differentiates Early Malignant and Benign Lung Lesions.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 42 citations in OpenAlex.
- iEVIP: a dual-inspired intelligent platform for smart response extracellular vesicle isolation and single-vesicle profiling.Nature communications · 2026Article
- Spatially Controlled Capture and Site-Resolved Analysis of Single Extracellular Vesicles.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Early-stage multi-cancer detection through a plasma extracellular vesicle protein signature.Cell reports. Medicine · 2026Article
- Lung cancer screening based on plasma-derived exosomes via droplet coating deposition Raman spectroscopy and machine learning.Biomedical optics express · 2026Article
- Unveiling Heterogeneity: Innovations and Challenges in Single-Vesicle Analysis for Clinical Translation.Journal of extracellular vesicles · 2025Article
- Bridging laboratory innovation to translational research and commercialization of extracellular vesicle isolation and detection.Biosensors & bioelectronics · 2025Review
- Extracellular Vesicles for Clinical Diagnostics: From Bulk Measurements to Single-Vesicle Analysis.ACS nano · 2025Review
- Single Extracellular Vesicle Profiling to Define Brain Specific Traumatic Brain Injury Induced Neuro-Inflammation.Small methods · 2025Article
- [Progress and prospect of separation and analysis of single-cell and single-particle exosomes].Se pu = Chinese journal of chromatography · 2025Review
- On the dilemma of using single EV analysis for liquid biopsy: the challenge of low abundance of tumor EVs in blood.Theranostics · 2025Review
- Pushing the Limits of Lateral Flow Immunoassay by Digital SERS for the Ultralow Detection of SARS-CoV-2 Virus.Small science · 2024Article
- Glycan Profiling in Small Extracellular Vesicles with a SERS Microfluidic Biosensor Identifies Early Malignant Development in Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Thermophoretic glycan profiling of extracellular vesicles for triple-negative breast cancer management.Nature communications · 2024Article
- Optical Imaging of Single Extracellular Vesicles: Recent Progress and Prospects.Chemical & biomedical imaging · 2024Review
- Current Advances in Technologies for Single Extracellular Vesicle Analysis and Its Clinical Applications in Cancer Diagnosis.Biosensors · 2023Review
- Single-Particle Optical Imaging for Ultrasensitive Bioanalysis.Biosensors · 2022Review
- Digital Decoding of Single Extracellular Vesicle Phenotype Differentiates Early Malignant and Benign Lung Lesions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Accurate identification of malignant lung lesions is a prerequisite for rational clinical management to reduce morbidity and mortality of lung cancer. However, classification of lung nodules into malignant and benign cases is difficult as they show similar features in computer tomography and sometimes positron emission tomography imaging, making invasive tissue biopsies necessary. To address the challenges in evaluating indeterminate nodules, the authors investigate the molecular profiles of small extracellular vesicles (sEVs) in differentiating malignant and benign lung nodules via a liquid biopsy-based approach. Aiming to characterize phenotypes between malignant and benign groups, they develop a single-molecule-resolution-digital-sEV-counting-detection (DECODE) chip that interrogates three lung-cancer-associated sEV biomarkers and a generic sEV biomarker to create sEV molecular profiles. DECODE capturessEVs on a nanostructured pillar chip, confines individual sEVs, and profiles sEV biomarker expression through surface-enhanced Raman scattering barcodes. The author utilize DECODE to generate a digitally acquired sEV molecular profiles in a cohort of 33 people, including patients with malignant and benign lung nodules, and healthy individuals. Significantly, DECODE reveals sEV-specific molecular profiles that allow the separation of malignant from benign (area under the curve, AUC = 0.85), which is promising for non-invasive characterisation of lung nodules found in lung cancer screening and warrants further clinincal validaiton with larger cohorts.
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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.