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

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This array-based analysis investigated serum microRNAs as potential diagnostic markers for endometriosis.

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Abstract

ObjectiveTo investigate serum microRNAs (miRNAs) in women with endometriosis.DesignCase-control study.SettingUniversity hospital.Patient(s)Women with (n = 24) and without (n = 24) endometriosis.Intervention(s)Serum samples were obtained from surgically diagnosed subjects.Main outcome measure(s)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.Result(s)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.Conclusion(s)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.

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Gene Expression Profiling MicroRNAs Oligonucleotide Array Sequence Analysis Adult Area Under Curve Case-Control Studies Connecticut Endometriosis Endometriosis Endometriosis Female Gene Expression Profiling Genetic Markers Genetic Predisposition to Disease Hospitals, University Humans Logistic Models MicroRNAs MicroRNAs

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europepmc
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