Endometriosis-Related ceRNA Network to Identify Predictive Biomarkers of Endometrial Receptivity

Wang X, Xi Wang, Qi Yu
Epigenomics · 2019 · vol. 11(2) , pp. 147–167 · doi:10.2217/epi-2018-0190 · PMID:30638056 · W2908683937
article OA: closed CC0 ⤵ 8 in-corpus citations
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This study constructed a ceRNA network from endometrial RNA sequencing data to identify four ceRNAs and lower progesterone receptor type B levels as potential biomarkers of impaired endometrial receptivity in endometriosis.

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Abstract

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.

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Gene Regulatory Networks RNA, Small Untranslated Adult Biomarkers Biomarkers Endometriosis Endometriosis Endometriosis Endometrium Endometrium Female Humans Receptors, Progesterone Receptors, Progesterone Receptors, Progesterone RNA, Small Untranslated RNA, Small Untranslated

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