Although long non coding RNAs (lncRNAs) and circular RNAs (circRNAs) play important roles in the pathogenesis of diseases, endometriosis related lncRNAs and circRNAs are still rarely reported. This study focused on the potential molecular mechanism of endometriosis related competitive endogenous RNA (ceRNA) composed of lncRNAs and circRNAs. We performed high-throughout sequencing of six normal endometria, six eutopic endometria and six ectopic endometria for the first time to describe and analyze the expression profile of lncRNA, circRNA and mRNA. Our results showed that 140 lncRNAs, 107 circRNAs and 1,206 mRNAs were differentially expressed in the ectopic group, compared with the normal and eutopic groups. We established an lncRNA/circRNA-mRNA co-expression network using pearson correlation test. Meanwhile, the results of Gene set enrichment analysis analysis showed that the 569 up-regulated differentially expressed mRNA (DEmRNA) were mainly related to the epithelial-mesenchymal transition, regulation of immune system process and immune effector process. Subsequently, we established a DElncRNA-miRNA and DEcircRNA-miRNA network using the starbase database, identified the common miRNAs and constructed DElncRNA/DEcircRNA-miRNA pairs. miRDB, Targetscan, miRwalk and circRNA/lncRNA-mRNA pairs jointly determined the miRNA-mRNA portion of the circRNA/lncRNA-miRNA-mRNA co-expression network. RT-qPCR results of 15 control samples and 25 ectopic samples confirmed that circGLIS2, circFN1, LINC02381, IGFL2-AS1, CD84, LYPD1 and FAM163A were significantly overexpressed in ectopic tissues. In conclusion, this is the first study to illustrate ceRNA composed of differentially expressed circRNA, lncRNA and mRNA in endometriosis. We also found that lncRNA and circRNA exerted a pivotal function on the pathogenesis of endometriosis, which can provide new insights for further exploring the pathogenesis of endometriosis and identifying new targets.

There is a high rate of inconformity between clinical staging and surgical-pathologic staging in endometrial cancer. Many patients with advanced endometrial cancer are preoperatively understaged and thereby do not receive the optimal therapy. Here, we aimed to develop a predictive model or biomarker for preoperative diagnosis of advanced endometrial cancer via multivariate logistic regression analysis. In this study, 259 eligible patients were included, and 195 patients were assigned to the training dataset and 64 patients to validation dataset. Age, menopause status, sterilization situation, parity, body mass index, hypertension, diabetes mellitus, tumor size, and ovarian malignancy algorithm (ROMA) index were included as predictive variables, and the binary outcome was advanced endometrial cancer or not. When the P value was set as less than 0.01 in forward stepwise regression, only ROMA index was retained. The odds ratio of being positive ROMA index was 15.531 times that of negative value. The area under receiver operating characteristic curve was 0.790 in the training dataset and 0.776 in the validation dataset. The decision curve analysis curve showed that the prediction by ROMA index added more net benefits for almost all threshold probabilities. Therefore, ROMA index is an effective predictor for advanced endometrial cancer before surgery. Since ROMA index is a standard, measurable, and reliable laboratory test, it can be used as a reference tool for gynecologists to design the appropriate therapeutic schedule for patients with high-stage endometrial cancer before surgery.

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Purpose Although adenomyosis is a common and benign gynecological disease, the specific pathogenesis of this condition has yet to be fully elucidated. It is difficult to culture primary cells of the ectopic endometrial epithelia and stroma from human adenomyosis lesions. Most previous of studies on adenomyosis were based on primary eutopic endometrium cells. However, as yet, no efficient protocols have been developed for the isolation, culture or purification of primary ectopic epithelial and stromal cells from human adenomyosis lesions. Therefore, the present study aimed to develop an efficient protocol for the isolation and culture of primary ectopic epithelial and stromal cells from human adenomyosis lesions. Methods In the present study, we aimed to obtain ectopic endometrium tissue from human adenomyosis foci and use a simple and operable type I collagenase digestion method for primary culture. Cells were isolated by sterile cell strainer filtration and flow cytometry was performed to identify, purify and evaluate the viability of isolated ectopic endometrial cells. Results Using our method, we successfully isolated and cultured highly purified and active ectopic endometrial epithelial and stromal cells from human adenomyosis foci. Ep-CAM was expressed in ectopic epithelial cells of human adenomyosis with a purity of 93.74% and a viability of 80.58%. In addition, CD10 were robustly expressed by ectopic stromal cells in human adenomyosis. Cellular purity and viability were determined to be 96.37% and 93.49%, respectively. Conclusion Our method provides a new experimental model for studying the molecular pathogenesis of human adenomyosis.