ArticleMolecular oncology2021
Small extracellular vesicles from malignant ascites of patients with advanced ovarian cancer provide insights into the dynamics of the extracellular matrix.
Article in Molecular oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 41 citations in OpenAlex.
- Proteomic analysis of malignant ascites and its impact on ovarian cancer spheroids.Clinical proteomics · 2026Article
- Exploring poly-L-lysine-based particle capture for atomic force microscopy studies of extracellular vesicles.Journal of microscopy · 2026Article
- Extracellular vesicles from ovarian cancer tumor spheroids harbor disease-related and survival-associated proteins.Extracellular vesicles and circulating nucleic acids · 2025Article
- Article
- Platelets as key cells in endometriosis patients: Insights from small extracellular vesicles in peritoneal fluid and endometriotic lesions analysis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024Article
- The detection, biological function, and liquid biopsy application of extracellular vesicle-associated DNA.Biomarker research · 2024Review
- Quality control and validation of extracellular vesicles isolated from cultured human breast cancer cells.BMC research notes · 2024Article
- Comparative Analysis of Primary Ovarian Cancer Cells and Established Cell Lines as a New Tool for Studies on Ovarian Cancer Cell Complexity.International journal of molecular sciences · 2024Article
- Therapy-induced senescent tumor cell-derived extracellular vesicles promote colorectal cancer progression through SERPINE1-mediated NF-κB p65 nuclear translocation.Molecular cancer · 2024Article
- Proteomic analysis of ascitic extracellular vesicles describes tumour microenvironment and predicts patient survival in ovarian cancer.Journal of extracellular vesicles · 2024Article
- Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches.Journal of extracellular vesicles · 2024Article
- Extracellular Vesicle-Serpine-1 Affects Neural Progenitor Cell Mitochondrial Networks and Synaptic Density: Modulation by Amyloid Beta and HIV-1.Molecular neurobiology · 2023Article
- Unlocking Exosome-Based Theragnostic Signatures: Deciphering Secrets of Ovarian Cancer Metastasis.ACS omega · 2023Review
- Friend and foe: the regulation network of ascites components in ovarian cancer progression.Journal of cell communication and signaling · 2023Review
- Extracellular vesicle-Serpine-1 affects neural progenitor cell mitochondrial functions and synaptic density: modulation by amyloid beta and HIV-1.Research square · 2023Article
- Weaving the nest: extracellular matrix roles in pre-metastatic niche formation.Frontiers in oncology · 2023Review
- Preparation and Use of Decellularized Extracellular Matrix for Tissue Engineering.Journal of functional biomaterials · 2022Review
- Article
- Extracellular Vesicles-ceRNAs as Ovarian Cancer Biomarkers: Looking into circRNA-miRNA-mRNA Code.Cancers · 2022Review
- Exploiting Extracellular Vesicles Strategies to Modulate Cell Death and Inflammation in COVID-19.Frontiers in pharmacology · 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
14 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The exact role of malignant ascites in the development of intraperitoneal metastases remains unclear, and the mechanisms by which extracellular vesicles (EVs) promote tumor progression in the pre-metastatic niche have not been fully discovered. In this study, we characterized ascites from high-grade epithelial ovarian cancer patients. Small-EVs (30-150 nm) were isolated from two sources-the bulk ascites and the ascitic fluid-derived tumor cell cultures-and assessed with a combination of imaging, proteomic profiling, and protein expression analyses. In addition, Gene Ontology and pathway analysis were performed using different databases and bioinformatic tools. The results proved that the small-EVs derived from the two sources exhibited significantly different stiffness and size distributions. The bulk ascitic fluid-derived small-EVs were predominantly involved in the complement and coagulation cascade. Small-EVs derived from ascites cell cultures contained a robust proteomic profile of extracellular matrix remodeling regulators, and we observed an increase in transforming growth factor-β-I (TGFβI), plasminogen activator inhibitor 1 (PAI-1), and fibronectin expression after neoadjuvant chemotherapy. When measured in the two sources, we demonstrated that fibronectin exhibited opposite expression patterns in small-EVs in response to chemotherapy. These findings highlight the importance of an ascites cell isolation workflow in investigating the treatment-induced cancer adaption processes.
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.