Trial reportMolecular oncology2018
Exosomal microRNAs as tumor markers in epithelial ovarian cancer.
Trial report in Molecular oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 6 of them syntheses that pooled it.
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
111 citing papers in PubMed, 6 syntheses or guidelines pooled it, 183 citations in OpenAlex.
- Exosomal MicroRNAs as novel diagnostic biomarkers in head and neck cancer: a systematic evaluation and meta-analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Pooled it
- Circulating potential biomarkers in polycystic ovary syndrome and gynecologic cancers: Diagnostic insights from a systematic review and meta-analysis.Journal of ovarian research · 2025Pooled it
- The current trend of exosome in epithelial ovarian cancer studies: A bibliometric review.Frontiers in pharmacology · 2023Pooled it
- Meta-analysis of the diagnostic value of exosomal miR-21 as a biomarker for the prediction of cancer.Journal of clinical laboratory analysis · 2021Pooled it
- Diagnostic Role of Extracellular Vesicles in Cancer: A Comprehensive Systematic Review and Meta-Analysis.Frontiers in cell and developmental biology · 2021Pooled it
- Role of Extracellular Vesicles in Epithelial Ovarian Cancer: A Systematic Review.International journal of molecular sciences · 2020Pooled it
- Podoplanin-positive extracellular vesicles in ovarian cancer: linking thrombosis, platelet crosstalk, and cancer stemness - a narrative review.Annals of medicine and surgery (2012) · 2026Article
- An Asymmetric Dura-Inspired Collagen Hydrogel Patch with Integrated Dense-Porous Architecture Enabled by Dual-Channel Freeze Casting.Advanced healthcare materials · 2026Article
- Effect of the miR‑26a/b‑5p‑STAT3‑YKL‑40 regulatory axis on proliferation, migration, and invasion of endometrial cancer cells.Oncology reports · 2026Article
- Potential Role of Exosomes in the Pathogenesis, Diagnosis, and Treatment of Ovarian Cancer.Cancers · 2026Review
- The updated role of exosomes in cancer diagnosis and therapy.Discover oncology · 2026Review
- Circulating miRNA as diagnostic tools for gynecological diseases and their applications in biosensor development.Analytical and bioanalytical chemistry · 2026Review
- MiRNome alterations drive the malignant transformation of endometriosis into endometriosis-correlated ovarian cancer.Scientific reports · 2025Article
- Cell-free and extracellular vesicle microRNAs with clinical utility for solid tumors.Molecular oncology · 2025Review
- Exosomal Biomarkers: A Comprehensive Overview of Diagnostic and Prognostic Applications in Malignant and Non-Malignant Disorders.Biomolecules · 2025Review
- Advances in small extracellular vesicles: roles in the tumor microenvironment and epithelial ovarian cancer diagnosis and treatment.Frontiers in oncology · 2025Review
- Therapeutic Chemoresistance in Ovarian Cancer: Emerging Hallmarks, Signaling Mechanisms and Alternative Pathways.Current medicinal chemistry · 2025Review
- Small Extracellular Vesicles: Unraveling Their Roles in Ovarian Cancer Progression and Tapping Into Clinical Application Potential.International journal of nanomedicine · 2025Review
- Exosomes from Different Sources in Promoting Wound Healing.Recent advances in drug delivery and formulation · 2025Review
- Clinical utility of various liquid biopsy samples for the early detection of ovarian cancer: a comprehensive review.Frontiers in oncology · 2025Review
51 more citing papers are in PubMed but not listed here.
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Specific microRNAs (miRNAs) are packaged in exosomes that regulate processes in tumor development and progression. The current study focuses on the influence of exosomal miRNAs in the pathogenesis of epithelial ovarian cancer (EOC). MiRNA profiles were determined in exosomes from plasma of 106 EOC patients, eight ovarian cystadenoma patients, and 29 healthy women by TaqMan real-time PCR-based miRNA array cards containing 48 different miRNAs. In cell culture experiments, the impact of miR-200b and miR-320 was determined on proliferation and apoptosis of ovarian cancer cell lines. We report that miR-21 (P = 0.0001), miR-100 (P = 0.034), miR-200b (P = 0.008), and miR-320 (P = 0.034) are significantly enriched, whereas miR-16 (P = 0.009), miR-93 (P = 0.014), miR-126 (P = 0.012), and miR-223 (P = 0.029) are underrepresented in exosomes from plasma of EOC patients as compared to those of healthy women. The levels of exosomal miR-23a (P = 0.009, 0.008) and miR-92a (P = 009, 0.034) were lower in ovarian cystadenoma patients than in EOC patients and healthy women, respectively. The exosomal levels of miR-200b correlated with the tumor marker CA125 (P = 0.002) and patient overall survival (P = 0.019). MiR-200b influenced cell proliferation (P = 0.0001) and apoptosis (P < 0.008). Our findings reveal specific exosomal miRNA patterns in EOC and ovarian cystadenoma patients, which are indicative of a role of these miRNAs in the pathogenesis of EOC.
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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.