ArticleDiagnostics (Basel, Switzerland)2022
Clues for Improving the Pathophysiology Knowledge for Endometriosis Using Plasma Micro-RNA Expression.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06100471 (Evaluation of Genetic Signature in Endometriosis Disease by Non Invasive Sampling), which is not on this map. Cited by 10 papers, 2 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.
Evaluation of Genetic Signature in Endometriosis Disease by Non Invasive Sampling
Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Diagnostic value of MiRNAs in endometriosis: a systematic review and meta-analysis.BMC women's health · 2026Pooled it
- Liquid Biopsy in Endometriosis: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Evaluating the Effect of Exosome-Encapsulated miR-4289 on Menstrual Blood-Derived Mesenchymal Stem Cells from Endometriosis Patients.Biochemical genetics · 2026Article
- Circulating Serum Micro-RNA as Non-Invasive Diagnostic Biomarkers of Endometriosis.Biomedicines · 2024Article
- Follicular Fluid and Blood Monitorization of Infertility Biomarkers in Women with Endometriosis.International journal of molecular sciences · 2024Review
- Circulating microRNAs as Non-Invasive Biomarkers in Endometriosis Diagnosis-A Systematic Review.Biomedicines · 2024Review
- Correction: Dabi et al. Clues for Improving the Pathophysiology Knowledge for Endometriosis Using Plasma Micro-RNA Expression.Diagnostics (Basel, Switzerland) · 2024Article
- Value of Non-Coding RNA Expression in Biofluids to Identify Patients at Low Risk of Pathologies Associated with Pregnancy.Diagnostics (Basel, Switzerland) · 2024Review
- Passive Microwave Radiometry and microRNA Detection for Breast Cancer Diagnostics.Diagnostics (Basel, Switzerland) · 2022Article
- Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study.Diagnostics (Basel, Switzerland) · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
The pathophysiology of endometriosis remains poorly understood. The aim of the present study was to investigate functions and pathways associated with the various miRNAs differentially expressed in patients with endometriosis. Plasma samples of the 200 patients from the prospective "ENDO-miRNA" study were analyzed and all known human miRNAs were sequenced. For each miRNA, sensitivity, specificity, and ROC AUC values were calculated for the diagnosis of endometriosis. miRNAs with an AUC ≥ 0.6 were selected for further analysis. A comprehensive review of recent articles from the PubMed, Clinical Trials.gov, Cochrane Library, and Web of Science databases was performed to identify functions and pathways associated with the selected miRNAs. In total, 2633 miRNAs were found in the patients with endometriosis. Among the 57 miRNAs with an AUC ≥ 0.6: 20 had never been reported before; one (miR-124-3p) had previously been observed in endometriosis; and the remaining 36 had been reported in benign and malignant disorders. miR-124-3p is involved in ectopic endometrial cell proliferation and invasion and plays a role in the following pathways: mTOR, STAT3, PI3K/Akt, NF-κB, ERK, PLGF-ROS, FGF2-FGFR, MAPK, GSK3B/
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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.