ArticleACS nano2023
MoS
Article in ACS nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 74 citations in OpenAlex.
- Plasmonic metasurface microfluidic accelerates redox reactions for rapid phenotypic antibiotic susceptibility testing.Science advances · 2026Article
- Extracellular vesicles shape tumourigenesis: from signalling networks to systemic progression.Cancer metastasis reviews · 2026Review
- Multiplexed Profiling of Individual Extracellular Vesicles Reveals Lung Cancer-Associated Protein Signatures.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Extracellular Vesicles in the Biology and Liquid Biopsy Diagnostics of Pediatric High-Grade Glioma - Emerging Findings and Opportunities.Journal of extracellular biology · 2026Review
- Combined multi-omics and multi-spectral profiling of plasma extracellular vesicles reveals liquid biopsy biomarkers for glioma diagnosis.Cell reports. Medicine · 2026Article
- Multifactor authentication in extracellular vesicle analysis: methods and approaches to address the heterogeneity problem.Nature methods · 2026Review
- Surface engineering of extracellular vesicles: trends, strategies, and applications in diagnosis and therapy.Journal of nanobiotechnology · 2026Review
- Advances in nanotechnology for the diagnosis and management of autoimmune diseases.Asian journal of pharmaceutical sciences · 2026Review
- Glioblastoma Cells Expressing Oncogenic EGFR Release Multiple Extracellular Vesicle Subpopulations Positive or Negative for EGFR.Journal of extracellular biology · 2026Article
- Leveraging extracellular vesicle biology for novel tests and therapeutics for kidney fibrosis.Clinical and translational medicine · 2026Review
- Recent advances in machine learning-enhanced extracellular vesicle omics for oncology.Journal of nanobiotechnology · 2026Review
- Machine Learning-Enhanced Analysis of Exosomal Surface Sialic Acid Using Surface-Enhanced Raman Spectroscopy for Ovarian Cancer Diagnosis and Therapeutic Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- SVAtlas: a comprehensive single extracellular vesicle omics resource.Nucleic acids research · 2026Article
- Verification of the predictive value of EV-associated biomarkers MMP9 and CEACAM1 in rehabilitation of ischemic stroke.Extracellular vesicles and circulating nucleic acids · 2026Article
- Single-Exosome SERS Detection by Means of a Flexible Metasurface.Biosensors · 2025Article
- Direct SERS profiling of small extracellular vesicles in cerebrospinal fluid for pediatric medulloblastoma detection and treatment monitoring.Analytical and bioanalytical chemistry · 2025Article
- Preanalytical variables and analytes in liquid biopsy approach for brain tumors: A comprehensive review and recommendations from the RANO Group and the Brain Liquid Biopsy Consortium.Neuro-oncology · 2025Review
- Integrated microfluidic platforms for extracellular vesicles: Separation, detection, and clinical translation.APL bioengineering · 2025Review
- Bridging laboratory innovation to translational research and commercialization of extracellular vesicle isolation and detection.Biosensors & bioelectronics · 2025Review
- Machine-Learning-Aided Advanced Electrochemical Biosensors.Advanced materials (Deerfield Beach, Fla.) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 5 institutions in 2 countries.
Funding
Abstract
Extracellular vesicles (EVs) are continually released from cancer cells into biofluids, carrying actionable molecular fingerprints of the underlying disease with considerable diagnostic and therapeutic potential. The scarcity, heterogeneity and intrinsic complexity of tumor EVs present a major technological challenge in real-time monitoring of complex cancers such as glioblastoma (GBM). Surface-enhanced Raman spectroscopy (SERS) outputs a label-free spectroscopic fingerprint for EV molecular profiling. However, it has not been exploited to detect known biomarkers at the single EV level. We developed a multiplex fluidic device with embedded arrayed nanocavity microchips (MoSERS microchip) that achieves 97% confinement of single EVs in a minute amount of fluid (<10 μL) and enables molecular profiling of single EVs with SERS. The nanocavity arrays combine two featuring characteristics: (1) An embedded MoS
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.