Combined proteomics and transcriptomics identifies serpin family C member 1 associated protein as a biomarker of endometriosis.

OBJECTIVE: To explore potential biomarkers indicating endometriosis (EM). MATERIALS AND METHODS: A proteomics method and combined quantitative transcriptomics were adopted to highlight markers in the EM. Venn analysis was used to integrate the ribonucleic acid sequencing (RNA-seq) and protein profiles. Promising candidate markers were tested by enzyme-related immunosorbent assay. RESULTS: A sum of 979 mRNAs and 39 proteins were tested to be significantly differentially expression in the standard cluster compared with the EM cluster. Venn analysis showed a filtered signature of only two down-regulated molecules in the EM group, i.e. fetuin B (FETUB) and serpin family C member 1 (SERPINC1); the latter showed a big variance between the control category and the EM set in the authentication test. CONCLUSION: SERPINC1 may be a useful possible biomarker for the analysis of EM.

Clinical Features and Long-Term Outcomes After Laparoscopic Surgery in Patients Co-existing With Endometriosis and Adenomyosis.

Objective: To investigate the difference of clinical features and outcomes between EM patients with and without AM after following up for at least 6 years after surgery. Methods: We retrospectively analyzed 358 EM patients who had a minimum of 6 years follow-up after laparoscopic cystectomy, which was performed by one single doctor at Peking Union Medical College Hospital from January 2009 to April 2013. All women were divided into AM group and non-AM group and analysis was performed in preoperative characteristics, surgical findings and postoperative outcomes during follow-up. Results: A total of 358 EM patients were recruited, of which 142 (39.7%) were in the AM group and the rest 216 (60.3%) in the non-AM group. Between the two group, the mean age was 34.6 vs. 32.2 years (P < 0.001). The mean operating time in the AM and non-AM group was 73.2 vs. 61.9 min (P < 0.001). According to the revised AFS classification, the mean score of the two group were 60.3 vs. 45.5 (P < 0.001). At the end of the follow-up, though the AM group was with higher rate of disease relapse, yet no significant difference was found between the two groups in statistical comparison (34/142 [23.9%] vs. 34/216 [15.7%], P = 0.053). With a minimum follow-up of 6 years after laparoscopic cystectomy, failed and successful pregnancy were seen in 107/142(75.4%) and 35/142 (24.6%) patients in the AM group vs. 114/216(52.8%) and 102/216 (47.2%) patients in the non-AM group (P < 0.05). As for the successfully pregnant patients, live births, including spontaneous pregnancy and IVF-ET, were seen in 34/35 (97.1) vs. 99/102 (97.1) patients between AM and non-AM groups, while others ended in spontaneous abortion. No significant associations were found between the two groups in infertility, leiomyoma presence, the size of ovarian endometrioma, type of deep infiltrating endometriosis (DIE) or type of recurrence (P > 0.05). Conclusion: Compared with non-AM group, EM patients with concurrent AM may have higher age, longer mean operating time and higher mean AFS score. In terms of fertility outcomes, patients in the AM group were with lower likelihood of pregnancy after surgery during the long-time follow-up.

Preventive therapeutic options for postoperative recurrence of ovarian endometrioma: gonadotropin-releasing hormone agonist with or without levonorgestrel intrauterine system insertion.

PURPOSE: Here, we compared endometrioma recurrence rates in patients who have undergone a laparoscopic cystectomy and treated with a gonadotropin-releasing hormone agonist (GnRHa) alone or a GnRHa combined with a levonogestrel intrauterine system (LND-IUS). METHODS: We enrolled endometrioma patients who underwent laparoscopic cyst enucleation and divided them into two groups according to postoperative management: GnRHa alone and GnRHa in combination with LND-IUS. We compared preoperative history, perioperative parameters, postoperative endometrioma recurrence, and symptoms between these two groups. RESULTS: A total of 320 patients were included in the final analysis. With a median 84.6 months of follow-up, we detected significant differences between the two groups with respect to age at surgery (31.6 ± 4.8 vs. 37.6 ± 4.2 years, χ2 = 1.978, p < 0.001), gravida (0 vs. 2, χ2 = 4.391, p < 0.001), parity (0 vs. 1, χ2 = 0.035, p < 0.001), body mass index (21.0 ± 2.5 vs. 21.9 ± 2.4, χ2 = 0.0096, p = 0.009), r-AFS score (48 vs. 64, χ2 = 4.888, p = 0.001), and operation time (60 vs. 75 min, χ2 = 9.119, p = 0.003). Patients treated with both GnRHa and LND-IUS achieved significantly less endometrioma recurrence (23.6 vs. 11.5%, χ2 = 5.202, p = 0.023) and higher rates of pain remission (92.1 vs. 100%, χ2 = 6.511, p = 0.011), while those with GnRHa alone suffered more recurrent and painful symptoms (χ2 = 9.280, p = 0.026). Multivariate analysis using a Cox regression demonstrated that combined GnRHa and LNG-IUS treatment correlated with a decreased endometrioma recurrence rate after laparoscopic cystectomy (RR 0.369, 95% CI 0.182-0.749, p = 0.006). CONCLUSIONS: Combination treatment of GnRHa and LNG-IUS exhibited superior pain relief and recurrence prevention among endometrioma patients after fertility-sparing surgery. Thus, combination treatment is a preferable long-term option for patients without intent for pregnancy in the near future.

Endometrial Organoids: A New Model for the Research of Endometrial-Related Diseases†.

An ideal research model plays a vital role in studying the pathogenesis of a disease. At present, the most widely used endometrial disease models are cell lines and animal models. As a novel studying model, organoids have already been applied for the study of various diseases, such as disorders related to the liver, small intestine, colon, and pancreas, and have been extended to the endometrium. After a long period of exploration by predecessors, endometrial organoids (EOs) technology has gradually matured and maintained genetic and phenotypic stability after long-term expansion. Compared with cell lines and animal models, EOs have high stability and patient specificity. These not only effectively and veritably reflects the pathophysiology of a disease, but also can be used in preclinical drug screening, combined with patient derived xenografts (PDXs). Indeed, there are still many limitations for EOs. For example, the co-culture system of EOs with stromal cells, immune cell, or vascular cells is not mature, and endometrial cancer organoids have a lower success rate, which should be improved in the future. The investigators predict that EOs will play a significant role in the study of endometrium-related diseases.

Establishment of endometriotic models: the past and future.

Endometriosis is a prevalent chronic disease that affects approximately 6% to 10% of reproductive-aged women. Although numerous researchers have endeavored to explore the etiology of endometriosis over a century, its etiology still remains an enigma. The exploration of pathophysiologic mechanism and novel therapy for endometriosis depends on ideal endometriotic models. In the previous decade, various endometriotic models have been established; therefore, we made a conclusion for available information on these models. This review summarized the common experimental models used in endometriotic studies, including their origins, characteristics, applications, and limitations. Endometriotic models played an important role in studying etiologies and novel treatments of endometriosis during the last decades. Among them, animal models and endometriotic cell lines were viewed as most common studying tools to explore the intrinsic entities of endometriosis. In addition, endometrial organoid also emerged and was regarded as an ideal studying tool for endometriosis research. Different research models collectively complement each other to advance the endometriosis research. The successful establishment of endometrial organoids means that organoids are expected to become an ideal model for studying endometriosis in the future.