ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023
Inaugurating High-Throughput Profiling of Extracellular Vesicles for Earlier Ovarian Cancer Detection.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed, 50 citations in OpenAlex.
- Multiplexed Profiling of Individual Extracellular Vesicles Reveals Lung Cancer-Associated Protein Signatures.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Multi-omics profiling of pancreatic neuroendocrine tumors: Interplay of genomic instability and the tumor microenvironment (Review).Oncology letters · 2026Review
- Identifying Ovarian Cancer-Associated EV mRNA Expression Profiles Using Unsupervised Machine Learning and Non-Negative Matrix Factorization.Bioengineering (Basel, Switzerland) · 2026Article
- Integrated study reveals molecular mechanisms by which bisphenol A promotes ovarian cancer.iScience · 2026Article
- Exosomes-mediated intercellular communication and their theragnostic potential against cancer and related disorders: a comprehensive review.Biotechnology letters · 2026Review
- Rapid desiccation and on-disc rehydration of extracellular vesicles for non-cryogenic preservation.Lab on a chip · 2026Article
- Automated disc device for multiplexed extracellular vesicle isolation and labelling from liquid biopsies in cancer diagnostics.Nature biomedical engineering · 2026Article
- 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
- Review
- Article
- Sub-Neuronal Network Profiling of Extracellular Vesicle Release Using a Compartmentalized Neurofluidic Platform.Advanced biology · 2026Article
- Proteomics analysis of serum extracellular vesicle identifies UCHL1 as a potential therapeutic target for high grade serous ovarian cancer.British journal of cancer · 2026Article
- Engineering inertial flow patterns for signal amplification in disc-based protein assays.Theranostics · 2026Article
- Immobilization-free SELEX for aptamer discovery targeting colorectal cancer-derived small extracellular vesicles.Journal of nanobiotechnology · 2025Article
- Signal Amplification for Fluorescent Staining of Single Particles in Liquid Biopsies: Circulating Tumour Cells and Extracellular Vesicles.Journal of extracellular vesicles · 2025Article
- Organ-on-a-Chip Models of the Female Reproductive System: Current Progress and Future Perspectives.Micromachines · 2025Review
- Computationally Designed Nanobinders as Affinity Ligands in Diagnostic and Therapeutic Applications.Journal of the American Chemical Society · 2025Article
- Amplifying mutational profiling of extracellular vesicle mRNA with SCOPE.Nature biotechnology · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 5 institutions in 2 countries.
Funding
Abstract
Detecting early cancer through liquid biopsy is challenging due to the lack of specific biomarkers for early lesions and potentially low levels of these markers. The current study systematically develops an extracellular-vesicle (EV)-based test for early detection, specifically focusing on high-grade serous ovarian carcinoma (HGSOC). The marker selection is based on emerging insights into HGSOC pathogenesis, notably that it arises from precursor lesions within the fallopian tube. This work thus establishes murine fallopian tube (mFT) cells with oncogenic mutations and performs proteomic analyses on mFT-derived EVs. The identified markers are then evaluated with an orthotopic HGSOC animal model. In serially-drawn blood of tumor-bearing mice, mFT-EV markers increase with tumor initiation, supporting their potential use in early cancer detection. A pilot clinical study (n = 51) further narrows EV markers to five candidates, EpCAM, CD24, VCAN, HE4, and TNC. The combined expression of these markers distinguishes HGSOC from non-cancer with 89% sensitivity and 93% specificity. The same markers are also effective in classifying three groups (non-cancer, early-stage HGSOC, and late-stage HGSOC). The developed approach, for the first time inaugurated in fallopian tube-derived EVs, could be a minimally invasive tool to monitor women at high risk of ovarian cancer for timely intervention.
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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.