ArticleJournal of extracellular vesicles2024
Proteomic analysis of ascitic extracellular vesicles describes tumour microenvironment and predicts patient survival in ovarian cancer.
Article in Journal of extracellular vesicles, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 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.
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Who cites it
23 citing papers in PubMed, 25 citations in OpenAlex.
- Cell-Type-Resolved Proteomics Reveals Distinct Immune and Metabolic Programs Between Primary and Recurrent Ascites in HGSOC.Proteomics. Clinical applications · 2026Article
- Small Extracellular Vesicle and Total Lipid Profiles Provide a Diagnostic Advantage Over CA-125 Across Ovarian Cancer Subtypes.Journal of extracellular vesicles · 2026Article
- Exosome-Associated Proteins as Mediators and Biomarkers of Ovarian Cancer Dissemination.Biomolecules · 2026Review
- A Scalable Bioreactor Platform for Reproducible Production and Characterization of Ovarian Cancer-Derived Extracellular Vesicles.Bioengineering (Basel, Switzerland) · 2026Article
- Proteomic analysis of malignant ascites and its impact on ovarian cancer spheroids.Clinical proteomics · 2026Article
- Isolation Defines Identity: Functional Consequences of Extracellular Vesicle Purification Strategies.Advanced healthcare materials · 2026Article
- Mag-Net Strong Anion Exchange Enables Isolation of Ovarian Cancer Ascites Extracellular Vesicles for Proteomic Biomarker Discovery.Bio-protocol · 2026Article
- Biomarkers in Disease Diagnosis and Monitoring: Insights into Clinical Applications and Mass Spectrometry-based Detection.Applied biochemistry and biotechnology · 2026Review
- Iron Oxide-Based Surface-Enhanced Raman Spectroscopy Bioprobes for Detecting Tumor Cells in Serous Effusion.Analytical chemistry · 2026Article
- Tumor-associated macrophages display differential protein cargo sorting in extracellular vesicles associated with poor survival in ovarian cancer.Molecular medicine (Cambridge, Mass.) · 2026Article
- Role of tumor microenvironment in regulator of tumor progression and immunotherapy.Discover oncology · 2026Review
- Proteomics analysis of serum extracellular vesicle identifies UCHL1 as a potential therapeutic target for high grade serous ovarian cancer.British journal of cancer · 2026Article
- Exosomal TACSTD2 promotes invasion, metastasis and glycolysis in ovarian cancer.Discover oncology · 2025Article
- Extracellular vesicles from ovarian cancer cells induce senescent lipid-laden macrophages to facilitate omental metastasis.Journal of nanobiotechnology · 2025Article
- Comparative evaluation of methods for isolating extracellular vesicles from ICC cell culture supernatants: Insights into proteomic and glycomic analysis.Cell communication and signaling : CCS · 2025Article
- Integrated Microfluidic Chip for Neutrophil Extracellular Vesicle Analysis and Gastric Cancer Diagnosis.ACS nano · 2025Article
- Extracellular vesicles from ovarian cancer tumor spheroids harbor disease-related and survival-associated proteins.Extracellular vesicles and circulating nucleic acids · 2025Article
- MicroRNA Profiling of Bone Marrow Plasma Extracellular Vesicles in Multiple Myeloma, Extramedullary Disease, and Plasma Cell Leukemia.Hematological oncology · 2025Article
- Tracking Small Extracellular Vesicles Using a Minimally Invasive PicoGreen Labeling Strategy.ACS applied bio materials · 2024Article
- Malignancy of Malignant Ascites: A Comprehensive Review of Interplay between Biochemical Variables, Tumor Microenvironment and Growth Factors.Asian Pacific journal of cancer prevention : APJCP · 2024Review
Corrections and comments
- Erratum issued
Authors and funding
22 authors at 4 institutions in 2 countries.
Funding
Abstract
High-grade serous carcinoma of the ovary, fallopian tube and peritoneum (HGSC), the most common type of ovarian cancer, ranks among the deadliest malignancies. Many HGSC patients have excess fluid in the peritoneum called ascites. Ascites is a tumour microenvironment (TME) containing various cells, proteins and extracellular vesicles (EVs). We isolated EVs from patients' ascites by orthogonal methods and analyzed them by mass spectrometry. We identified not only a set of 'core ascitic EV-associated proteins' but also defined their subset unique to HGSC ascites. Using single-cell RNA sequencing data, we mapped the origin of HGSC-specific EVs to different types of cells present in ascites. Surprisingly, EVs did not come predominantly from tumour cells but from non-malignant cell types such as macrophages and fibroblasts. Flow cytometry of ascitic cells in combination with analysis of EV protein composition in matched samples showed that analysis of cell type-specific EV markers in HGSC has more substantial prognostic potential than analysis of ascitic cells. To conclude, we provide evidence that proteomic analysis of EVs can define the cellular composition of HGSC TME. This finding opens numerous avenues both for a better understanding of EV's role in tumour promotion/prevention and for improved HGSC diagnostics.
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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.