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Research Article

Endometriosis-related ceRNA network to identify predictive biomarkers of endometrial receptivity

    Xi Wang

    Department of Obstetrics & Gynaecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China

    &
    Qi Yu

    *Author for correspondence: Tel.: +86 137 0122 7034;

    E-mail Address: yuqi2008001@sina.com

    Department of Obstetrics & Gynaecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China

    Published Online:https://doi.org/10.2217/epi-2018-0190

    Aim: As RNA, which plays a role in the regulation of endometrial receptivity, can be modulated via ceRNA mechanisms, we constructed a ceRNA network to explore potential RNA/ceRNA biomarkers indicating endometrial receptivity associated with endometriosis. Materials & methods: RNA sequencing was performed on eutopic endometrium from eight patients with and without endometriosis. Bioinformatics algorithms were used to predict ceRNA network and pathway analysis. Results: We identified an endometriosis-associated ceRNA network involving 45 pathways and four ceRNAs as potential predictive biomarkers for endometrial receptivity. Patients with endometriosis presented lower levels of progesterone receptor type B expression. Conclusion: Differentially expressed RNAs and lower progesterone receptors type B levels in endometriosis might be related to the impairment of endometrial receptivity.

    Papers of special note have been highlighted as: • of interest; •• of considerable interest

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