ArticleTranslational oncology2025
MicroRNA profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis-correlated ovarian cancer.
Article in Translational oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic value of MiRNAs in endometriosis: a systematic review and meta-analysis.BMC women's health · 2026Pooled it
- Seromucinous borderline ovarian tumors: Clinical and ultrasound characteristics and association with endometriosis.Acta obstetricia et gynecologica Scandinavica · 2026Observational
- Cancer-like Hallmarks of Endometriosis: The Role of Estrogen Signaling and Stem Cell Plasticity.International journal of molecular sciences · 2026Review
- Review
- MicroRNA Expression Profile in Endometriosis and Endometriosis-Associated Ovarian Cancer-Systematic Review.Cells · 2026Review
- Applications of artificial intelligence and machine learning models in the prognosis and diagnosis of ovarian cancer.Frontiers in oncology · 2026Review
- The uterine secretome initiates growth of gynecologic tissues in ectopic locations: re-evaluating the evidence.Pathology oncology research : POR · 2026Review
- MiRNome alterations drive the malignant transformation of endometriosis into endometriosis-correlated ovarian cancer.Scientific reports · 2025Article
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndometriosis (EMS) is a chronic, gynecological condition affecting 6-10 % of reproductive-age women. While these lesions are benign, ovarian EMS presents cancer-like features, and can progress to endometriosis-correlated ovarian cancer (ECOC) through a multistep process. Given the regulatory role of miRNAs in gene expression and biological pathways, we aimed to identify miRNAs associated with the malignant transformation of ovarian EMS, which could serve as a potential diagnostic tool for the early identification of such patients.
methodsGlobal miRNA profiling was performed in 8 patients with benign ovarian EMS (EMS-b) and 29 patients with ECOC. Differential expression analysis (DEA) of miRNAs between EMS-b, EMS tissues from patients with ECOC (EMS-k) and ECOC tissues was performed. Receiver Operating Characteristic (ROC) curves were built to evaluate the binary classification performance of significant miRNAs.
resultsComparison between EMS-b and EMS-k revealed 13 significantly deregulated miRNAs. Furthermore, when comparing ECOC and EMS-b, we observed significant deregulation of 181 miRNAs. ROC analysis revealed a panel of seven upregulated miRNAs with accuracies above 0.7 in identifying EMS-k and EMS-b. Notably, four miRNAs (hsa-miR-200a-3p, hsa-miR-141-3p, hsa-miR-183-5p, hsa-miR-10a-5p) were consistently upregulated in both EMS-k and ECOC tissues, achieving accuracies above 0.77 in distinguishing between EMS-k and EMS-b. When used to distinguish between EMS-b and ECOC tissues, these miRNAs showed accuracies even higher, above 0.94. Specifically, hsa-miR-183-5p had an accuracy of 1, hsa-miR-200a-3p and hsa-miR-141-3p of 0.97, while hsa-miR-10a-5p of 0.95.
conclusionsOur study identified a panel of miRNA biomarkers that may serve as potential candidates for the early detection of ECOC in patients previously diagnosed with ovarian EMS.
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