MicroRNA profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis-correlated ovarian cancer
Background: Endometriosis (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 regul...
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Elsevier
2025-05-01
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| Series: | Translational Oncology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1936523325000981 |
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| author | Gloria Ravegnini Camelia Alexandra Coadă Giulia Mantovani Antonio De Leo Dario de Biase Alessia Costantino Francesca Gorini Giulia Dondi Stella Di Costanzo Francesco Mezzapesa Federico Manuel Giorgi Giovanni Tallini Sabrina Angelini Annalisa Astolfi Lidia Strigari Pierandrea De Iaco Anna Myriam Perrone |
| author_facet | Gloria Ravegnini Camelia Alexandra Coadă Giulia Mantovani Antonio De Leo Dario de Biase Alessia Costantino Francesca Gorini Giulia Dondi Stella Di Costanzo Francesco Mezzapesa Federico Manuel Giorgi Giovanni Tallini Sabrina Angelini Annalisa Astolfi Lidia Strigari Pierandrea De Iaco Anna Myriam Perrone |
| author_sort | Gloria Ravegnini |
| collection | DOAJ |
| description | Background: Endometriosis (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. Methods: Global 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. Results: Comparison 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. Conclusions: Our 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. |
| format | Article |
| id | doaj-art-65f5fcaef9ae487a84f45f7c46e7ec83 |
| institution | OA Journals |
| issn | 1936-5233 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Translational Oncology |
| spelling | doaj-art-65f5fcaef9ae487a84f45f7c46e7ec832025-08-20T02:09:40ZengElsevierTranslational Oncology1936-52332025-05-015510236710.1016/j.tranon.2025.102367MicroRNA profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis-correlated ovarian cancerGloria Ravegnini0Camelia Alexandra Coadă1Giulia Mantovani2Antonio De Leo3Dario de Biase4Alessia Costantino5Francesca Gorini6Giulia Dondi7Stella Di Costanzo8Francesco Mezzapesa9Federico Manuel Giorgi10Giovanni Tallini11Sabrina Angelini12Annalisa Astolfi13Lidia Strigari14Pierandrea De Iaco15Anna Myriam Perrone16Department of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy; Clinical Pharmacology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, ItalyDepartment of Morpho-functional sciences, University of Medicine and Pharmacy ''Iuliu Hațieganu'', Cluj-Napoca, RomaniaDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy; Corresponding author.Solid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, ItalyDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy; Solid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalySolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, ItalySolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, ItalyDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna, Italy; Clinical Pharmacology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, ItalyDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, ItalyDepartment of Medical Physics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, ItalyDivision of Oncologic Gynecology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy; Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, ItalyBackground: Endometriosis (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. Methods: Global 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. Results: Comparison 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. Conclusions: Our 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.http://www.sciencedirect.com/science/article/pii/S1936523325000981EndometriosismiRNAsPredictive biomarkersEndometriosis-correlated ovarian cancer |
| spellingShingle | Gloria Ravegnini Camelia Alexandra Coadă Giulia Mantovani Antonio De Leo Dario de Biase Alessia Costantino Francesca Gorini Giulia Dondi Stella Di Costanzo Francesco Mezzapesa Federico Manuel Giorgi Giovanni Tallini Sabrina Angelini Annalisa Astolfi Lidia Strigari Pierandrea De Iaco Anna Myriam Perrone MicroRNA profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis-correlated ovarian cancer Translational Oncology Endometriosis miRNAs Predictive biomarkers Endometriosis-correlated ovarian cancer |
| title | MicroRNA profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis-correlated ovarian cancer |
| title_full | MicroRNA profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis-correlated ovarian cancer |
| title_fullStr | MicroRNA profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis-correlated ovarian cancer |
| title_full_unstemmed | MicroRNA profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis-correlated ovarian cancer |
| title_short | MicroRNA profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis-correlated ovarian cancer |
| title_sort | microrna profiling reveals potential biomarkers for the early transformation of endometriosis towards endometriosis correlated ovarian cancer |
| topic | Endometriosis miRNAs Predictive biomarkers Endometriosis-correlated ovarian cancer |
| url | http://www.sciencedirect.com/science/article/pii/S1936523325000981 |
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