Serum microRNAs as diagnostic markers of endometriosis: a comprehensive array-based analysis

• Published in: Fertility and sterility Vol. 106; no. 2; pp. 402 - 409
• Main Authors: Cosar, Emine, Mamillapalli, Ramanaiah, Ersoy, Gulcin Sahin, Cho, SihYun, Seifer, Benjamin, Taylor, Hugh S.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.08.2016
• Subjects: Adult; Area Under Curve; biomarker; Case-Control Studies; Connecticut; Endometriosis; Endometriosis - blood; Endometriosis - diagnosis; Endometriosis - genetics; Female; Gene Expression Profiling - methods; Genetic Markers; Genetic Predisposition to Disease; Hospitals, University; Humans; Internal Medicine; Logistic Models; microarray; MicroRNAs - blood; MicroRNAs - genetics; miRNA; Obstetrics and Gynecology; Oligonucleotide Array Sequence Analysis; Phenotype; Predictive Value of Tests; Real-Time Polymerase Chain Reaction; Reproducibility of Results; ROC Curve; Seoul; serum; Endometriosis; miRNA; microarray; biomarker; serum
• ISSN: 0015-0282; 1556-5653
• DOI: 10.1016/j.fertnstert.2016.04.013

To investigate serum microRNAs (miRNAs) in women with endometriosis. Case-control study. University hospital. Women with (n = 24) and without (n = 24) endometriosis. Serum samples were obtained from surgically diagnosed subjects. miRNA from women with without endometriosis were used for microarray profiling and confirmed by means of quantitative real-time polymerase chain reaction (qRT-PCR). Receiver operating characteristic (ROC) analysis was performed on differentially expressed miRNAs. miR-3613-5p, miR-6755-3p were down-regulated and miR-125b-5p, miR-150–5p, miR-342-3p, miR-143-3p, miR-145-5p, miR-500a-3p, miR-451a, miR-18a-5p were up-regulated more than 10-fold in the microarray. These results were confirmed with the use of qRT-PCR. Among the differentially expressed miRNAs, miR-125b-5p expression levels had the highest area under the ROC curve (AUC). The maximum AUC score of 1.000 was achieved when combining miR-125b-5p, miR-451a, and miR-3613-5p with the use of a logistic regression model. We identified several miRNAs in serum that distinguished subjects with endometriosis from those without. miR-125b-5p had the greatest potential as a single diagnostic biomarker. A combination of that miRNA with miR-451a and miR-3613-5p further improved diagnostic performance.