Introduction: Endometriosis, a prevalent gynecological disorder characterized by the presence of endometrial-like tissue outside the uterus, poses significant challenges in diagnosis and management due to its unclear pathogenesis and lack of specific biomarkers. Objective: This study investigates the potential use of microRNAs (miRNAs) as key markers in endometriosis by studying two cohorts of patients (14 patients diagnosed with endometriosis and 15 patients with gynecological benign lesions, different from endometriosis). Methods: MicroRNA sequencing analysis was tested within data management by a custom pipeline designed by Eurofins Genoma Group. Results: We identified a specific miRNA expression profile associated with endometriosis to feature specific disease molecular clusters to further elucidate the underlying mechanisms driving endometriosis pathogenesis. Data from the present study suggest a specific miRNA scar for endometriosis compared to other gynecological diseases to develop screening tools in early diagnosis and to ameliorate the management of the disease itself. Conclusion: This study lays the foundation for the identification of key miRNAs involved in the disease pathogenesis to unveil the molecular signatures in the complex scenario of endometriosis. Further validation and exploration of these findings are needed to develop tools to improve molecular diagnosis and to create a machine-learning prediction algorithm in the future.

Identification of Key miRNAs in Endometriosis

Barbati, Saviana Antonella;
2024-01-01

Abstract

Introduction: Endometriosis, a prevalent gynecological disorder characterized by the presence of endometrial-like tissue outside the uterus, poses significant challenges in diagnosis and management due to its unclear pathogenesis and lack of specific biomarkers. Objective: This study investigates the potential use of microRNAs (miRNAs) as key markers in endometriosis by studying two cohorts of patients (14 patients diagnosed with endometriosis and 15 patients with gynecological benign lesions, different from endometriosis). Methods: MicroRNA sequencing analysis was tested within data management by a custom pipeline designed by Eurofins Genoma Group. Results: We identified a specific miRNA expression profile associated with endometriosis to feature specific disease molecular clusters to further elucidate the underlying mechanisms driving endometriosis pathogenesis. Data from the present study suggest a specific miRNA scar for endometriosis compared to other gynecological diseases to develop screening tools in early diagnosis and to ameliorate the management of the disease itself. Conclusion: This study lays the foundation for the identification of key miRNAs involved in the disease pathogenesis to unveil the molecular signatures in the complex scenario of endometriosis. Further validation and exploration of these findings are needed to develop tools to improve molecular diagnosis and to create a machine-learning prediction algorithm in the future.
2024
Endometriosis; endometrium.; gynecology; miRNA; microRNA; women
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14245/10581
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