Identification of MicroRNAs as Potential Biomarkers in Ovarian Endometriosis
This study identified 114 differentially expressed miRNAs in ovarian endometriosis plasma, with 14 downregulated miRNAs, including hsa-let-7i-5p, showing diagnostic potential.
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The paper studied microRNA (miRNA) expression profiles in plasma from 10 patients with ovarian endometriosis and 10 healthy controls, using microarray-based profiling of ectopic endometrial plasma followed by RT-qPCR validation. It identified 114 differentially expressed miRNAs, with 14 significantly downregulated in patients, and ROC analysis showed hsa-let-7i-5p had the highest diagnostic performance (AUC = 0.900) among the 14. Predicted target genes of these miRNAs were analyzed for enrichment, with results implicating KEGG pathways such as microRNAs in cancer and endocrine resistance and related GO metabolic processes. The main limitation is the small sample size (10 per group), which may constrain generalizability and robustness of biomarker performance. This paper is centrally about endometriosis — specifically identifying 14 downregulated plasma miRNAs, including hsa-let-7i-5p, as potential biomarkers in ovarian endometriosis.
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Cited by (16)
- Identification of key genes associated with infertile endometriosis based on bioinformatic analysis 2025
- Sviluppo di un modello diagnostico basato su MicroRNA sierici per la diagnosi di endometriosi 2025
- Endometriosis and genital malformations in children and adolescents. What do they have in common? 2024
- <span data-contrast="auto">Evaluating the Prognostic Potential of CA-125 and miRNA Levels in Endometriosis: A Narrative Review <span data-ccp-props="{"> 2024
- Evaluation of the diagnostic utility of immune microenvironment-related biomarkers in endometriosis using multidimensional transcriptomic data 2024
- Identification of key genes associated with infertile endometriosis based on bioinformatic analysis 2024
- Circulating microRNAs as Non-Invasive Biomarkers in Endometriosis Diagnosis-A Systematic Review 2024
- Omics-based novel strategies in the diagnosis of endometriosis 2023
- POTENTIAL ВIOMARKERS OF ENDOMETRIOSIS: THE SEARCH IS UNDERWAY 2023
- Liquid Biopsy in Endometriosis: A Systematic Review 2023
- MiR-518c-3p alleviates endometriosis by inhibiting ectopic endometrial migration and epithelial–mesenchymal transition via targeting ZNF608 2022
- Differential Expression and Bioinformatics Analysis of tRF/tiRNA in Endometriosis Patients 2022
- Inflammatory MicroRNAs and the Pathophysiology of Endometriosis and Atherosclerosis: Common Pathways and Future Directions Towards Elucidating the Relationship 2022
- An Analogy of Endometriosis Recognition Using Machine Learning Techniques 2021
- Exosomal lncRNA CHL1-AS1 Derived from Peritoneal Macrophages Promotes the Progression of Endometriosis via the miR-610/MDM2 Axis 2021
- Construction of a MicroRNA‐mRNA Network Underlying Decidualized Endometriotic Cyst Stromal Cells Using Bioinformatics Analysis 2020
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