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Diagnostic Value of Circulating MicroRNAs for Endometriosis: a Meta-analysis

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Abstract

Endometriosis is a common reproductive system disease worldwide that mainly causes chronic pelvic pain and infertility. Despite its high prevalence, the diagnosis of some patients with endometriosis is delayed for several years, which may be because the gold standard for diagnosis is an expensive and invasive surgical assessment by laparoscopy or laparotomy. Circulating microRNAs (miRNAs) play an important role in a wide range of diseases, including endometriosis, and have been discovered to be potential diagnostic markers. This meta-analysis, which was designed to investigate the diagnostic value of circulating miRNAs for endometriosis, summarizes miRNA articles that met a set of inclusion criteria. Using a bivariate model, we calculated the sensitivities, specificities, and area under the curve (AUC) values of individual miRNAs and miRNA panels. The pooled diagnostic sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the receiver operating characteristic (AUROC) curve were 0.86 (95% CI 0.79–0.90), 0.88 (95% CI 0.80–0.93), 7.05 (95% CI 4.20–11.84), 0.16 (95% CI 11–0.24), and 0.93, respectively. Taken together, these findings indicate that circulating microRNAs may serve as potential noninvasive biomarkers of endometriosis.

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Funding

This work was supported by the National Natural Science Foundation of China (No. 81772780).

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Authors and Affiliations

  1. Department of Gynaecology, First Affiliated Hospital, Harbin Medical University, Harbin, 150001, Heilongjiang, China

    Ling Zhou, Yan Chen, Jianhua Gao & Guangmei Zhang

  2. Department of Neurology Biomedical Science, University of Pittsburgh, Pittsburgh, PA, 15260, USA

    Sandhya Shankar

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  1. Ling Zhou
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  2. Yan Chen
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  3. Jianhua Gao
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  4. Sandhya Shankar
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  5. Guangmei Zhang
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Contributions

Conceptualization, Ling Zhou; methodology, Ling Zhou; software, Ling Zhou; validation, Ling Zhou and Yan Cheng; formal analysis, Ling Zhou; investigation, Ling Zhou and Yan Cheng; resources, Ling Zhou and Jianhua Gao; data curation, Ling Zhou and Yan Chen; writing—original draft preparation, Ling Zhou; writing—review and editing, Ling Zhou and Shankar Sandhya; supervision, Jianhua Gao; project administration, Guangmei Zhang.

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Correspondence to Guangmei Zhang.

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The authors declare that they have no conflict of interest.

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Zhou, L., Chen, Y., Gao, J. et al. Diagnostic Value of Circulating MicroRNAs for Endometriosis: a Meta-analysis. Reprod. Sci. 27, 793–805 (2020). https://doi.org/10.1007/s43032-019-00024-5

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  • DOI: https://doi.org/10.1007/s43032-019-00024-5

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