子宫内膜异位症
发病机制
疾病
小RNA
医学
生物信息学
鉴定(生物学)
计算生物学
病理
生物
基因
遗传学
植物
作者
Francesca Blandino,Saviana Antonella Barbati,Luca Forlani,Giuseppe Coppola,Noemi Meschino,Ilde Cecchinelli,Antonietta Cosco Mazzuca,Valentina Veltri,Riccardo Giannico,Graziella Calugi
出处
期刊:MicroRNA
日期:2024-10-25
卷期号:14
标识
DOI:10.2174/0122115366333556241014115206
摘要
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.
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