ArticleNanoscale2021
Surface enhanced Raman scattering of extracellular vesicles for cancer diagnostics despite isolation dependent lipoprotein contamination.
Article in Nanoscale, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis 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
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.
- A critical systematic review of extracellular vesicle clinical trials.Journal of extracellular vesicles · 2024Pooled it
- Ultrasound-enhanced exosome secretion and antibody-free SERS profiling for Alzheimer's disease via iPSC-derived cortical organoids.Science advances · 2026Article
- Advances in Extracellular Vesicle-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis.Biosensors · 2026Review
- Incorporating exosomes in tissue engineering scaffolds: pave the way toward clinical application.Annals of medicine and surgery (2012) · 2026Review
- Impact of Isolation Techniques on the Content of Small Extracellular Vesicles.Journal of extracellular vesicles · 2026Article
- Beyond Extracellular Vesicle (EV) Hype: Practical Solutions and Remaining Hurdles in EV Research, Manufacturing, and Clinical Translation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Analysis of Plasma Extracellular Vesicles in Normal-Weight and Overweight Type 2 Diabetes Mellitus Using Multimodal SERS and RNA-Seq.bioRxiv : the preprint server for biology · 2026Article
- Liquid biopsy in pediatric acute lymphoblastic leukemia.Frontiers in oncology · 2026Review
- Integration of label-free surface enhanced Raman spectroscopy (SERS) of extracellular vesicles (EVs) with Raman tagged labels to enhance ovarian cancer diagnostics.Biosensors & bioelectronics · 2025Article
- Extracellular vesicles in TDP-43 proteinopathies: pathogenesis and biomarker potential.Molecular neurodegeneration · 2025Review
- Characterization and microRNA quantification of plasma-derived extracellular vesicles in patients withParasitology · 2025Article
- Surface-Enhanced Raman Spectroscopy for Biomedical Applications: Recent Advances and Future Challenges.ACS applied materials & interfaces · 2025Review
- Lung cancer diagnosis through extracellular vesicle analysis using label-free surface-enhanced Raman spectroscopy coupled with machine learning.Theranostics · 2025Article
- Extracellular vesicles isolation: a focus on magnetic beads-assisted platforms.Frontiers in bioengineering and biotechnology · 2025Review
- Shining a light on fluorescent EV dyes: Evaluating efficacy, specificity and suitability by nano-flow cytometry.Journal of extracellular biology · 2024Article
- Plasma-derived extracellular vesicles (EVs) as biomarkers of sepsis in burn patients via label-free Raman spectroscopy.Journal of extracellular vesicles · 2024Article
- Extracellular vesicles may provide an alternative detoxification pathway during skeletal muscle myoblast ageing.Journal of extracellular biology · 2024Article
- Deep autoencoder as an interpretable tool for Raman spectroscopy investigation of chemical and extracellular vesicle mixtures.Biomedical optics express · 2024Article
- Plasma-derived Extracellular Vesicles (EVs) as Biomarkers of Sepsis in Burn Patients via Label-free Raman Spectroscopy.bioRxiv : the preprint server for biology · 2024Article
- Rigorous Comparison of Extracellular Vesicle Processing to Enhance Downstream Analysis for Glioblastoma Characterization.Advanced biology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Given the emerging diagnostic utility of extracellular vesicles (EVs), it is important to account for non-EV contaminants. Lipoprotein present in EV-enriched isolates may inflate particle counts and decrease sensitivity to biomarkers of interest, skewing chemical analyses and perpetuating downstream issues in labeling or functional analysis. Using label free surface enhanced Raman scattering (SERS), we confirm that three common EV isolation methods (differential ultracentrifugation, density gradient ultracentrifugation, and size exclusion chromatography) yield variable lipoprotein content. We demonstrate that a dual-isolation method is necessary to isolate EVs from the major classes of lipoprotein. However, combining SERS analysis with machine learning assisted classification, we show that the disease state is the main driver of distinction between EV samples, and largely unaffected by choice of isolation. Ultimately, this study describes a convenient SERS assay to retain accurate diagnostic information from clinical samples by overcoming differences in lipoprotein contamination according to isolation method.
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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.