Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning

Tomáš Kupec, Julia Wittenborn, Chao-Chung Kuo, Laila Najjari, Rebecca Senger, Philipp Meyer-Wilmes, Elmar Stickeler, Jochen Maurer
2026 · doi:10.18154/rwth-2026-00724 · W7125215295
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This study identified urinary microRNAs using next-generation sequencing and machine learning for the non-invasive diagnosis of endometriosis.

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This study utilized next-generation sequencing and machine learning algorithms to identify urinary microRNAs as potential non-invasive biomarkers for endometriosis. The research focused on analyzing urine samples to distinguish between patients with the condition and healthy controls, aiming to develop a diagnostic tool that avoids surgical intervention. The authors demonstrated that specific microRNA signatures could effectively classify disease status, highlighting the feasibility of liquid biopsy approaches in gynecological diagnostics. This paper is centrally about endometriosis — specifically focusing on the development of a non-invasive urinary diagnostic method using advanced sequencing and computational analysis.

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; ; ; ; ; ; ; In Reproductive biology and endocrinology : RB&E 24(1), Seiten/Artikel-Nr.:4 2026 Online DOI: 10.1186/s12958-025-01517-6 DOI: 10.18154/RWTH-2026-00724 URL: https://publications.rwth-aachen.de/record/1026190/files/1026190.pdf Einrichtungen - Klinik und Lehrstuhl für Gynäkologie und Geburtsmedizin (537000-2 ; 931710) - Interdisziplinäres Zentrum für Klinische Forschung - IZKF Aachen (900003) Projekte Thematische Einordnung (Klassifikation) DDC: 610 OpenAccess: PDF Dokumenttyp Journal Article Format online Sprache English Anmerkung Peer reviewed article Externe Identnummern WOS Core Collection: WOS:001656642700001 SCOPUS: SCOPUS:2-s2.0-105027175137 Interne Identnummern RWTH-2026-00724 Datensatz-ID: 1026190 Beteiligte Länder Germany ; ; ; ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record | The record appears in these collections: | | Typ | Amount | VAT | Currency | Share | Status | Cost centre | | Other | 100.00 | 7.00 | EUR | 4.48 % | (DEAL) | 021000-931710 | | APC | 2133.96 | 149.38 | EUR | 95.52 % | (DEAL) | 021000-931710 | | Sum | 2233.96 | 156.38 | EUR | ||| | Total | 2390.34 | Record created 2026-01-19, last modified 2026-01-22 OpenAccess: PDF

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endometriosis

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