{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T18:08:19Z","timestamp":1757614099882,"version":"3.44.0"},"reference-count":20,"publisher":"Bentham Science Publishers Ltd.","issue":"2","content-domain":{"domain":["eurekaselect.com"],"crossmark-restriction":true},"short-container-title":["MIRNA"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:sec>\n<jats:title>Introduction:<\/jats:title>\n<jats:p>Endometriosis, a prevalent gynecological disorder characterized by the\npresence of endometrial-like tissue outside the uterus, poses significant challenges in diagnosis\nand management due to its unclear pathogenesis and lack of specific biomarkers.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title>Objective:<\/jats:title>\n<jats:p>This study investigates the potential use of microRNAs (miRNAs) as key markers in\nendometriosis by studying two cohorts of patients (14 patients diagnosed with endometriosis and\n15 patients with gynecological benign lesions, different from endometriosis).<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title>Methods:<\/jats:title>\n<jats:p>MicroRNA sequencing analysis was tested within data management by a custom pipeline\ndesigned by Eurofins Genoma Group.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title>Results:<\/jats:title>\n<jats:p>We identified a specific miRNA expression profile associated with endometriosis to\nfeature specific disease molecular clusters to further elucidate the underlying mechanisms driving\nendometriosis pathogenesis.\nData from the present study suggest a specific miRNA scar for endometriosis compared to other\ngynecological diseases to develop screening tools in early diagnosis and to ameliorate the management\nof the disease itself.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title>Conclusion:<\/jats:title>\n<jats:p>This study lays the foundation for the identification of key miRNAs involved in the\ndisease pathogenesis to unveil the molecular signatures in the complex scenario of endometriosis.\nFurther validation and exploration of these findings are needed to develop tools to improve molecular\ndiagnosis and to create a machine-learning prediction algorithm in the future.<\/jats:p>\n<\/jats:sec>","DOI":"10.2174\/0122115366333556241014115206","type":"journal-article","created":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T03:10:42Z","timestamp":1730085042000},"page":"170-175","update-policy":"https:\/\/doi.org\/10.2174\/bsp_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Identification of Key miRNAs in Endometriosis"],"prefix":"10.2174","volume":"14","author":[{"given":"Francesca","family":"Blandino","sequence":"first","affiliation":[{"name":"Department of Research and Development, Eurofins Genoma Group, Rome, 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