Status and development of research on clear cell carcinoma of the ovary-a visualization-based bibliometric analysis.

Background: Clear cell carcinoma of the ovary (CCCO) is a relatively rare type of epithelial ovarian cancer (EOC) that has unique biological characteristics and clinical features. Researchers have paid less attention to this disease than to other types of EOCs. However, in recent years, research in this area has still progressed. In this paper, a bibliometric analysis is used to integrate and analyse the literature in the field of CCCO in the past 20 years to determine research development, better understand the current status of research, and provide a reference for future study directions in this field. Methods: With CCCO as the research subject, relevant publications indexed in the Web of Science (WOS) core dataset from September 2003 to September 2023 were retrieved. After screening the publications, we used EXCEL, VOSviewer, CiteSpace, Charticulator, Gephi, OriginPro and other tools to perform in-depth analyses of and to visualize the data. Results: Through a comprehensive analysis of the literature in this field, we found that research on CCCO experienced a relatively rapid increase in 2006 and is now in a period of relatively high fluctuation. The quality of the literature in this field is generally high. In this field, countries in East Asia and North America play core roles, with Japan accounting for the most studies. A stable research group has been formed in this field, and extensive collaboration has occurred among the various research groups. In the past 20 years, basic research and clinical research in the field of CCCO have developed together, and a healthy development model in which basic and clinical research promote each other has formed. Research in this field has been continuously developed from a preliminary understanding of clinical features to in-depth explorations of the pathogenesis and the continuous optimization of treatment methods. The key molecular events in the pathogenesis and development of this disease and the application of novel antitumour drugs for this disease are the current research focuses and the future development direction in this field. Conclusions: Research on CCCO has progressed significantly in the past 20 years, but there are still many important issues regarding its pathogenesis and treatment that need to be addressed, and therefore, more research in this area should be conducted in the future. The study of key molecular events and the use of novel antitumour drugs are future development directions in this field.

DNA methylation profiles of ovarian cysts resemble ovarian tissues but not endometrial tissues.

INTRODUCTION: Endometriosis is a heritable, complex chronic inflammatory disease, for which much of the causal pathogenic mechanism remain unknown.Despite the high prevalence of ovarian chocolate cyst, its origin is still under debate. METHODS: Prevailing retrograde menstruation model predicts that ectopic endometrial cells migrate and develop into ovarian chocolate cyst. However, other models were also proposed. Genome-wide association studies (GWASs) have proved successful in identifying common genetic variants of moderate effects for various complex diseases. RESULTS: A growing body of evidence shows that the remodeling of retrograde endometrial tissues to the ectopic endometriotic lesions involves multiple epigenetic alterations, such as DNA methylation, histone modification, and microRNA expression.Because DNA methylation states exhibit a tissue specific pattern, we profiled the DNA methylation for ovarian cysts and paired eutopic endometrial and ovarian tissues from four patients. Surprisingly, DNA methylation profiles showed the ovarian cysts were closely grouped with normal ovarian but not endometrial tissues. CONCLUSIONS: These results suggested alterative origin of ovarian cysts or strong epigenetic reprogramming of infiltrating endometrial cells after seeding the ovarian tissue. The data provide contributing to the pathogenesis and pathophysiology of endometriosis.

Immune micro-environment analysis and drug screening for ovarian endometriosis.

BACKGROUND: Patients of ovary endometriosis have an abnormal immune micro-environment, leading to endometrial tissue that from retrograde menstruation evade immune surveillance and subsequently develop into ectopic lesions. OBJECTIVE: This study aims to elucidate the crucial immune cells and molecular pathways that are associated with an aberrant immune micro-environment of endometriosis. METHOD: In this study, we identified differentially expressed genes between ovarian ectopic endometrial tissue (OVE) and eutopic endometrial tissue from patients with endometriosis (PE) and non-endometriosis patients (CON) by analyzing the mRNA sequencing data. Additionally, we used WGCNA(Weighted Gene Co-expression Network Analysis) to screen for key genes related to immune cell infiltration and compared the sub-types of infiltrating immune cells using CIBERSORT(cell-type identification by estimating relative subsets of RNA transcript). Subsequently, we conducted a single-cell analysis on the identified key genes. Furthermore, we analyzed potential drugs suitable for ovarian endometriosis treatment using pRRophertic. RESULTS: Seven key genes associated with immune cell infiltration were screened out. The expression of these genes in OVE was significantly lower than that in PE and CON. These key genes were mainly enriched in the NK cell-mediated cytotoxicity pathway, especially for CD16 + CD56dim NK. Moreover, NK cells infiltration in ovarian endometriosis was significantly reduced compared with PE and CON, while M2 macrophage shown the opposite. Results of the single-cell analysis showed that the expression of the seven key genes in NK cells and monocyte-macrophages in OVE was significantly lower than that in PE or CON. Additionally, we identified potential drugs suitable for ovarian endometriosis treatment. CONCLUSION: The decreased infiltration of NK cells and increased infiltration of M2 macrophages contribute to the evasion of immune surveillance against endometrial tissue, promoting the progression of OVE. Therefore, potential strategies for the treatment of OVE include increasing NK cell activation and decreasing M2 macrophage polarization.

Large retroperitoneal ganglioneuroma revealed by a left ovarian endometrioma: A case report.

Uncommon in nature, retroperitoneal ganglioneuroma represents a neuroblastic benign tumor, predominantly manifesting in young adults, with a notable predilection for females. Often asymptomatic, the condition is frequently diagnosed incidentally due to delayed growth. Clinical manifestations arise primarily from the compression exerted on neighboring organs and vessels. The exclusive curative recourse lies in surgical intervention, underscoring the challenging task of achieving complete tumor excision, particularly when the ganglioneuroma attains considerable development and encapsulates significant retroperitoneal vessels. In this instance, we elucidate a case involving a 33-year-old woman, who had previously undergone a triple valve replacement due to rheumatic valvular disease, presenting persistent pelvic pain, unearthing a substantial asymptomatic retroperitoneal ganglioneuroma concomitant with an ovarian endometrioma. A laparotomy procedure was conducted, and to achieve a comprehensive excision of the mass, a meticulous intratumoral circular dissection of the prominent vessels, notably the superior mesenteric artery and celiac trunk, was undertaken. No local recurrence has been reported, 6 months after surgery. The significance of an experienced and well-trained surgical staff is underscored in addressing the complexities associated with this condition.

Discriminative diagnosis of ovarian endometriosis cysts and benign mucinous cystadenomas based on the ConvNeXt algorithm.

PURPOSE: The objective of this study was to develop a deep learning model, using the ConvNeXt algorithm, that can effectively differentiate between ovarian endometriosis cysts (OEC) and benign mucinous cystadenomas (MC) by analyzing ultrasound images. The performance of the model in the diagnostic differentiation of these two conditions was also evaluated. METHODS: A retrospective analysis was conducted on OEC and MC patients who had sought medical attention at the Fourth Affiliated Hospital of Harbin Medical University between August 2018 and May 2023. The diagnosis was established based on postoperative pathology or the characteristics of aspirated fluid guided by ultrasound, serving as the gold standard. Ultrasound images were collected and subjected to screening and preprocessing procedures. The data set was randomly divided into training, validation, and testing sets in a ratio of 5:3:2. Transfer learning was utilized to determine the initial weights of the ConvNeXt deep learning algorithm, which were further adjusted by retraining the algorithm using the training and validation ultrasound images to establish a new deep learning model. The weights that yielded the highest accuracy were selected to evaluate the diagnostic performance of the model using the validation set. Receiver operating characteristic (ROC) curves were generated, and the area under the curve (AUC) was calculated. Additionally, sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, and odds ratio were calculated. Decision curve analysis (DCA) curves were plotted. RESULTS: The study included 786 ultrasound images from 184 patients diagnosed with either OEC or MC. The deep learning model achieved an AUC of 0.90 (95 % CI: 0.85-0.95) in accurately distinguishing between the two conditions, with a sensitivity of 90 % (95 % CI: 84 %-95 %), specificity of 90 % (95 % CI: 77 %-97 %), a positive predictive value of 96 % (95 % CI: 91 %-99 %), a negative predictive value of 77 % (95 % CI: 63 %-88 %), a positive likelihood ratio of 9.27 (95 % CI: 3.65-23.56), and a negative likelihood ratio of 0.11 (95 % CI: 0.06-0.19). The DCA curve demonstrated the practical clinical utility of the model. CONCLUSIONS: The deep learning model developed using the ConvNeXt algorithm exhibits high accuracy (90 %) in distinguishing between OEC and MC. This model demonstrates excellent diagnostic performance and clinical utility, providing a novel approach for the clinical differentiation of these two conditions.

Impact of surgery for endometriosis on the outcomes of in vitro fertilization.

This narrative review aims to summarize available evidence on the IVF-associated outcomes after surgery for endometriosis. Only one retrospective study investigated if surgical treatment of superficial/peritoneal endometriosis may modify the outcomes of IVF; therefore, more data are needed to confirm the benefit of surgery for this type of disease for improving ART outcomes, and to be able to support it in routine practice. Solid evidence from several meta-analyses demonstrates that surgical treatment of endometriomas does not enhance the outcomes of IVF. In contrast, surgical treatment of ovarian endometriosis may lead to a reduction in ovarian reserve, especially in cases involving bilateral endometriomas or repeated surgical procedures. Some non-randomized studies have examined if surgical treatment on deep endometriosis may influence IVF outcomes. A systematic review with meta-analysis revealed that patients who underwent surgery before IVF exhibited significantly higher pregnancy rates per patient, pregnancy rates per cycle, and live birth rates per patient compared to those without prior surgery. However, the available data are insufficient to recommend surgical excision of deep endometriosis as the first-line treatment for asymptomatic patients to enhance IVF outcomes.

Pyroptotic T cell-derived active IL-16 has a driving function in ovarian endometriosis development.

Endometriosis, affecting 6%-10% of women, often leads to pain and infertility and its underlying inflammatory mechanisms are poorly understood. We established endometriosis models in wild-type and IL16KO mice, revealing the driver function of IL-16 in initiating endometriosis-related inflammation. Using an in vitro system, we confirmed iron overload-induced GSDME-mediated pyroptosis as a key trigger for IL-16 activation and release. In addition, our research led to the development of Z30702029, a compound inhibiting GSDME-NTD-mediated pyroptosis, which shows promise as a therapeutic intervention for endometriosis. Importantly, our findings extend beyond endometriosis, highlighting GSDME-mediated pyroptosis as a broader pathway for IL-16 release and offering insights into potential treatments for various inflammatory conditions.

Histological analysis of (antral) follicle density in ovarian cortex tissue attached to stripped endometriomas.

PURPOSE: When resecting endometriomas with the stripping technique, in the majority of cases, a thin line of adjacent ovarian cortex is attached to the endometrioma. In this study, we performed histological analysis to determine (antral) follicle density in the ovarian cortex tissue attached to stripped endometriomas and assessed patient- and surgical characteristics that could affect this. METHODS: Histological slides of previously removed endometriomas were assessed. Follicles in the attached ovarian tissue were classified according to maturation, and follicular density was determined. Immunofluorescent staining of antral follicles in a subset of endometriomas was also performed. RESULTS: In 90 out of 96 included endometriomas (93.7%), ovarian tissue attached to the cyst wall was observed. One thousand nine hundred forty-four follicles at different maturation stages were identified (3 follicles/mm3). Follicle density was negatively associated with age (p < 0.001). Antral follicles (< 7-mm diameter) were present in the ovarian tissue attached to 35 endometriomas (36.5%) derived from younger patients compared to endometriomas where none were detected (30 versus 35 years, p = 0.003). Antral follicle density was 1 follicle/mm3. Based on immunofluorescence, healthy antral follicles were identified in two out of four examined endometriomas. CONCLUSIONS: Ovarian tissue attached to stripped endometriomas holds potential as a non-invasive source for antral follicles. In theory, application of IVM could be an interesting alternative FP option in young patients with endometriomas who undergo cystectomy in order to transform the surgical collateral damage to a potential oocyte source. Our results encourage future research with fresh tissue to further assess the quality and potential of these follicles. TRIAL REGISTRATION: Clinical Trials.gov Identifier: B21.055 (METC LDD), date of registration 12-08-2021, retrospectively registered.

Genomic alterations in ovarian endometriosis and subsequently diagnosed ovarian carcinoma.

STUDY QUESTION: Can the alleged association between ovarian endometriosis and ovarian carcinoma be substantiated by genetic analysis of endometriosis diagnosed prior to the onset of the carcinoma? SUMMARY ANSWER: The data suggest that ovarian carcinoma does not originate from ovarian endometriosis with a cancer-like genetic profile; however, a common precursor is probable. WHAT IS KNOWN ALREADY: Endometriosis has been implicated as a precursor of ovarian carcinoma based on epidemiologic studies and the discovery of common driver mutations in synchronous disease at the time of surgery. Endometrioid ovarian carcinoma and clear cell ovarian carcinoma are the most common endometriosis-associated ovarian carcinomas (EAOCs). STUDY DESIGN, SIZE, DURATION: The pathology biobanks of two university hospitals in Sweden were scrutinized to identify women with surgically removed endometrioma who subsequently developed ovarian carcinoma (1998-2016). Only 45 archival cases with EAOC and previous endometriosis were identified and after a careful pathology review, 25 cases were excluded due to reclassification into non-EAOC (n = 9) or because ovarian endometriosis could not be confirmed (n = 16). Further cases were excluded due to insufficient endometriosis tissue or poor DNA quality in either the endometriosis, carcinoma, or normal tissue (n = 9). Finally 11 cases had satisfactory DNA from all three locations and were eligible for further analysis. PARTICIPANTS/MATERIALS, SETTING, METHODS: Epithelial cells were collected from formalin-fixed and paraffin-embedded (FFPE) sections by laser capture microdissection (endometrioma n = 11) or macrodissection (carcinoma n = 11) and DNA was extracted. Normal tissue from FFPE sections (n = 5) or blood samples collected at cancer diagnosis (n = 6) were used as the germline controls for each included patient. Whole-exome sequencing was performed (n = 33 samples). Somatic variants (single-nucleotide variants, indels, and copy number alterations) were characterized, and mutational signatures and kataegis were assessed. Microsatellite instability and mismatch repair status were confirmed with PCR and immunohistochemistry, respectively. MAIN RESULTS AND THE ROLE OF CHANCE: The median age for endometriosis surgery was 42 years, and 54 years for the subsequent ovarian carcinoma diagnosis. The median time between the endometriosis and ovarian carcinoma was 10 (7-30) years. The data showed that all paired samples harbored one or more shared somatic mutations. Non-silent mutations in cancer-associated genes were frequent in endometriosis; however, the same mutations were never observed in subsequent carcinomas. The degree of clonal dominance, demonstrated by variant allele frequency, showed a positive correlation with the time to cancer diagnosis (Spearman's rho 0.853, P < 0.001). Mutations in genes associated with immune escape were the most conserved between paired samples, and regions harboring these genes were frequently affected by copy number alterations in both sample types. Mutational burdens and mutation signatures suggested faulty DNA repair mechanisms in all cases. LARGE SCALE DATA: Datasets are available in the supplementary tables. LIMITATIONS, REASONS FOR CAUTION: Even though we located several thousands of surgically removed endometriomas between 1998 and 2016, only 45 paired samples were identified and even fewer, 11 cases, were eligible for sequencing. The observed high level of intra- and inter-heterogeneity in both groups (endometrioma and carcinoma) argues for further studies of the alleged genetic association. WIDER IMPLICATIONS OF THE FINDINGS: The observation of shared somatic mutations in all paired samples supports a common cellular origin for ovarian endometriosis and ovarian carcinoma. However, contradicting previous conclusions, our data suggest that cancer-associated mutations in endometriosis years prior to the carcinoma were not directly associated with the malignant transformation. Rather, a resilient ovarian endometriosis may delay tumorigenesis. Furthermore, the data indicate that genetic alterations affecting the immune response are early and significant events. STUDY FUNDING/COMPETING INTEREST(S): The present work has been funded by the Sjöberg Foundation (2021-01145 to K.S.; 2022-01-11:4 to A.S.), Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement (965552 to K.S.; 40615 to I.H.; 965065 to A.S.), Swedish Cancer Society (21-1848 to K.S.; 21-1684 to I.H.; 22-2080 to A.S.), BioCARE-A Strategic Research Area at Lund University (I.H. and S.W.-F.), Mrs Berta Kamprad's Cancer Foundation (FBKS-2019-28, I.H.), Cancer and Allergy Foundation (10381, I.H.), Region Västra Götaland (A.S.), Sweden's Innovation Agency (2020-04141, A.S.), Swedish Research Council (2021-01008, A.S.), Roche in collaboration with the Swedish Society of Gynecological Oncology (S.W.-F.), Assar Gabrielsson Foundation (FB19-86, C.M.), and the Lena Wäpplings Foundation (C.M.). A.S. declares stock ownership and is also a board member in Tulebovaasta, SiMSen Diagnostics, and Iscaff Pharma. A.S. has also received travel support from EMBL, Precision Medicine Forum, SLAS, and bioMCC. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Single-cell analysis reveals insights into epithelial abnormalities in ovarian endometriosis.

Ovarian endometriosis is characterized by the growth of endometrial tissue within the ovary, causing infertility and chronic pain. However, its pathophysiology remains unclear. Utilizing high-precision single-cell RNA sequencing, we profile the normal, eutopic, and ectopic endometrium from 34 individuals across proliferative and secretory phases. We observe an increased proportion of ciliated cells in both eutopic and ectopic endometrium, characterized by a diminished expression of estrogen sulfotransferase, which likely confers apoptosis resistance. After translocating to ectopic lesions, endometrial epithelium upregulates nicotinamide N-methyltransferase expression that inhibits apoptosis by promoting deacetylation and subsequent nuclear exclusion of transcription factor forkhead box protein O1, thereby leading to the downregulation of the apoptotic gene BIM. Moreover, epithelial cells in ectopic lesions elevate HLA class II complex expression, which stimulates CD4+ T cells and consequently contributes to chronic inflammation. Altogether, our study provides a comprehensive atlas of ovarian endometriosis and highlights potential therapeutic targets for modulating apoptosis and inflammation.

Galectin-3 promotes fibrosis in ovarian endometriosis.

Objective: This study aimed to investigate the potential role of galectin-3 (Gal-3) in the pathogenesis of fibrotic alterations in ovarian endometriosis (OVE). Methods: In this study, we collected the ectopic endometrial tissues and eutopic endometrial tissues from 31 OVE patients treated by laparoscopy, and the eutopic endometrial tissues from 23 non-OVE patients with leiomyoma or other benign diseases were used as control. Hematoxylin and eosin (H&E) and Masson's trichrome staining were utilized for histopathological assessment. The primary normal endometrial stromal cells (NESC), ectopic endometrial stromal cells (ECSC), and eutopic endometrial stromal cells (EUSC) were isolated. Gal-3 overexpression plasmids (Gal-OE) and short hairpin RNA targeting Gal-3 (Gal-3-shRNA) were transfected into the immortalized human endometriotic cell line 12Z, respectively. RT-qPCR, Western blot analysis, and immunohistochemistry were used to detect the mRNA and protein expression levels of Gal-3, type I collagen (COL-1), connective tissue growth factor (CTGF) and α-smooth muscle actin (α-SMA), respectively. Results: H&E and Masson staining showed that ovarian ectopic endometrium exhibited glandular hyperplasia, high columnar glandular epithelium, apical plasma secretion, more subnuclear vacuoles, and obvious fibrosis, compared with normal endometrium. The mRNA and protein levels of Gal-3 , CTGF, α-SMA, and COL-1 were all upregulated in the ectopic endometrial tissues of OVE patients compared to the eutopic endometrial tissues from OVE patients and non-OVE patients. Moreover, ECSC expressed higher levels of Gal-3, CTGF, α-SMA, and COL-1 than EUSC and NESC. Follow-up investigations demonstrated that the Gal-3 overexpression substantially increased fibrosis-related markers including CTGF, α-SMA, and COL-1 within the 12Z cell line. Conversely, Gal-3 knockdown showed the opposite effects. Conclusion: Gal-3 promotes fibrosis in OVE, positioning it as a prospective therapeutic target for mitigating fibrosis in endometriosis.

Downregulation of lncRNA LINC01465 predicts ovarian endometriosis and its prognosis.

The well-known impact of ovarian endometriosis on female quality of life and the established role of lncRNA LINC01465 in ovarian cancer pathogenesis have been extensively documented; however, the relationship between LINC01465 and ovarian endometriosis is still not clear. This study seeks to explore the potential involvement of LINC01465 in the disease. The study analyzed a sample of 80 endometriosis patients and 80 healthy women. The expression of LINC01465 was measured in ectopic and eutopic endometrial tissues through RT-qPCR. The diagnostic potential of serum LINC01465 levels was evaluated using ROC curve analysis, and the patients were followed up for 3 years after treatment to monitor recurrence. The results revealed that the expression of LINC01465 was significantly lower in ectopic endometrial tissues in comparison to paired eutopic tissues for most of the patients. No correlation was found between the patient's age or lifestyle and serum LINC01465 levels. After treatment, the serum LINC01465 level increased, and patients who experienced recurrence had significantly lower levels compared to those who did not. In conclusion, the study findings suggest that the downregulation of LINC01465 plays a role in the pathogenesis of ovarian endometriosis and may serve as a diagnostic and prognostic biomarker for the disease.

Serum miRNA as a predictive biomarker for ovarian reserve after endometrioma-cystectomy.

Ovarian endometrioma (OE) is a common gynecological disease that is often treated with surgery and hormonal treatment. However, ovarian cystectomy can impair the ovarian reserve (OR). Previously, we showed that perioperative administration of dienogest (DNG) is an effective option for OR preservation. However, there were differences in the extent of OR preservation among patients following perioperative DNG treatment. In the current study, we performed a global examination of serum microRNAs (miRNAs) to identify accurate biomarkers that predict post-operative restoration of OR following perioperative DNG treatment. We also sought to identify specific miRNAs related to the anti-Müllerian hormone (AMH). miRNA sequencing was performed on serum samples obtained from twenty-seven patients who received perioperative DNG treatment. Candidate miRNAs were selected by comparing patients whose ORs were restored postoperatively (responder group, n = 7) with those whose ORs were not (non-responder group, n = 7). miR-370-3p and miR-1307-3p were significantly upregulated in the responder group, whereas miR-27b-3p was upregulated in the non-responder group. The pretreatment value of each miRNA could predict DNG responsiveness for OR following ovarian cystectomy (area under the curve [AUC] > 0.8). The quantitative polymerase chain reaction (qPCR) revealed only miR-1307-3p was found to be significantly upregulated in the responder group (P < 0.05). In addition, we identified miR-139-3p, miR-140-3p, and miR-629-5p as AMH-associated miRNAs. The transition of AMH showed a correlation with miR-139-3p (P < 0.05, r = -0.76). The miRNAs identified herein represent potential serum biomarkers of clinical value in predicting OR prior to DNG treatment.

Evaluation of adipokines concentrations in plasma, peritoneal, and endometrioma fluids in women operated on for ovarian endometriosis.

Introduction: Some studies indicate the role of selected adipokines in the development of endometriosis. However, a comprehensive assessment of plasma, peritoneal, and endometrioma fluids adipokines concentrations in women with ovarian endometriosis has not yet been performed. Therefore, this study aimed to analyze plasma, peritoneal, and endometrioma fluids selected adipokines concentrations in women operated on for ovarian endometriosis. Materials and methods: A cross-sectional cohort study involved 56 women operated on for ovarian endometriosis. Body mass, height, and waist circumference were measured, and BMI was calculated. Plasma, peritoneal, and endometrioma fluids adiponectin, leptin, omentin resistin, RBP4, and visfatin/NAMPT were determined by ELISA. Results: The highest plasma levels of adiponectin, leptin, omentin, and RBP4 than in the endometrioma and peritoneal fluids were found, while levels of resistin and visfatin/NAMPT were significantly higher in endometrioma fluid than in plasma and peritoneal fluid. In addition, levels of visfatin/NAMPT were significantly higher in peritoneal fluid than in plasma. There were also positive correlations between leptin, RBP4, and adiponectin levels in endometrioma and peritoneal fluids (ρ = 0.28; p < 0.05; ρ = 0.31; p < 0.05; ρ= 0.32; p < 0.05, respectively). There were no associations between adipokines levels in plasma, endometrioma, and peritoneal fluids and endometriosis stage. Conclusion: Our results show that visfatin/NAMPT and resistin may be locally secreted in endometrioma related to inflammation regardless of the stage of endometriosis.

Comparison of serum anti-Müllerian hormone between unilateral and bilateral ovarian endometriomas during follicular, luteal, and random menstrual phases: a retrospective study.

BACKGROUND: Over the last two decades, serum levels of anti-Müllerian hormone (AMH) have been shown to be reliable markers of ovarian reserve. This study aimed to compare baseline serum AMH levels and well-controlled clinical factors between patients with unilateral and bilateral ovarian endometriomas during the menstrual phase. METHODS: We conducted a retrospective study. We enrolled 136 patients aged 18 to 36 years who were diagnosed with unilateral or bilateral ovarian endometriomas. Serum AMH levels of all patients and their latest two to three menstrual cycles were measured before surgery for ovarian endometriomas. The latest menstrual cycle length ranged from 26 to 30 days. Patients with irregular menstruation, a recent medication history of hormonal drugs other than oral contraceptive pills, a previous history of ovarian surgery, or any medical history influencing ovarian function were excluded. RESULTS: Of the 136 patients, 76 (55.9%) had unilateral ovarian endometriomas and 60 (44.1%) had bilateral ovarian endometriomas. Serum AMH levels were not significantly different between the two groups in the follicular phase, luteal phase, or at any random time point. CONCLUSION: Serum AMH levels were not significantly different between unilateral and bilateral ovarian endometriomas in the follicular and luteal phases, or at any random time during the menstrual cycle when various confounding factors were excluded.

Iron deposition in ovarian endometriosis evaluated by magnetic resonance imaging R2* correlates with ovarian function.

RESEARCH QUESTION: Does iron overload in patients with endometriosis affect ovarian function? Can a method be developed to visually reflect this? DESIGN: Magnetic resonance imaging (MRI) R2* was used to evaluate the correlation between iron deposition of ovarian and anti-Müllerian hormone (AMH) in patients with endometriosis. All patients underwent T2* MRI scanning. Serum AMH levels were measured preoperatively. The area of focal iron deposition, iron content of the cystic fluid and AMH levels between the endometriosis and control groups were compared using non-parametric tests. The effects of iron overload on AMH secretion in mouse ovarian granulosa cells were investigated by adding different concentrations of ferric citrate to the medium. RESULTS: A significant difference was found between endometriosis and control groups in area of iron deposition (P < 0.0001), cystic fluid iron content (P < 0.0001), R2* of lesions (P < 0.0001) and R2* of the cystic fluid (P < 0.0001). Negative correlations were found between serum AMH levels and R2* of cystic lesions in patients with endometriosis aged 18-35 years (rs = -0.6484, P < 0.0001), and between serum AMH levels and R2* of cystic fluid (rs = -0.5074, P = 0.0050). Transcription level (P < 0.0005) and secretion level (P < 0.005) of AMH significantly decreased with the increase in iron exposure. CONCLUSION: Iron deposits can impair ovarian function, which is reflected in MRI R2*. Serum AMH levels and R2* of cystic lesions or fluid in patients aged 18-35 years had a negative correlation with endometriosis. R2* can be used to reflect the changes of ovarian function caused by iron deposition.

Mismatch repair protein deficiency in endometriosis: Precursor of endometriosis-associated ovarian cancer in women with lynch syndrome.

OBJECTIVE: We aimed to elucidate the pathogenesis of ovarian cancer through the loss of mismatch repair (MMR) proteins in women with Lynch syndrome (LS) in this report. CASE REPORT: Two women with LS underwent surgery for synchronous endometrial cancer and ovarian cancer. In both cases, immunohistochemical examination showed concomitant MMR protein deficiency in endometrial cancer, ovarian cancer, and contiguous ovarian endometriosis. In Case 1, the macroscopically normal ovary included multiple endometrioses with MSH2 and MSH6 expression, and FIGO grade 1 endometrioid carcinoma and contiguous endometriosis without MSH2 and MSH6 expression. In Case 2, all endometriotic cells contiguous with carcinoma in the lumen of the ovarian cyst showed loss of the expression of MSH2 and MSH6. CONCLUSION: Ovarian endometriosis with MMR protein deficiency may progress to endometriosis-associated ovarian cancer in women with LS. Diagnosing endometriosis in women with LS during surveillance is important.

Bioinformatic analysis confirms differences in circular RNA expression profiles of cumulus cells between patients with ovarian and peritoneal endometriosis-associated infertility.

Endometriosis has a detrimental effect on oocyte quality, and ovarian endometriosis (OEM) and peritoneal endometriosis (PEM) may have different effects on female fertility. Therefore, we conducted a study to explore the circular RNA (circRNA) expression profiles of cumulus cells (CCs) in patients with OEM (n = 3), PEM (n = 3), and tubal factor infertility (TFI, n = 3) using high-throughput sequencing techniques and attempted to identify common and unique circRNAs in the OEM and PEM groups. The CIRCexplorer2 program was used to identify circRNAs. Seven candidate circRNAs were validated in 30 samples using quantitative real-time polymerase chain reaction (qRT-PCR). Finally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to annotate the function of circRNA-targeted genes, which were verified by sequencing results and constructed circRNA-miRNA-mRNA networks. A total of 11833 circRNAs were identified in nine samples. The numbers of differentially expressed circRNAs between the OEM and TFI groups, PEM and TFI groups, and OEM and PEM groups were 130, 71, and 191, respectively. After taking intersections, 11 circRNAs were considered common circRNAs in the OEM and PEM groups; 39 circRNAs in the OEM group and 17 circRNAs in the PEM group were identified as unique key circRNAs. During qRT-PCR validation, hsa_circ_0003638 was significantly upregulated in the PEM group compared to that in the OEM and TFI groups. Functional analysis of circRNA-targeted genes revealed that apoptosis, PI3K-AKT, and p53 signaling pathways were enriched in the PEM-TFI comparison groups, whereas the functions of target genes involved in the JAK-STAT and TGF-ß signaling pathways were enriched in the PEM-OEM comparison groups. Our findings confirmed differences in circRNA expression profiles of CCs between patients with OEM and PEM infertility and provide new insights into the different effects of various endometriosis phenotypes on oocytes.

Fallopian tubal histogenesis of ovarian endometriosis-A study of folate receptor-alpha expression.

Background: Ovary is a common organ site involved by endometriosis. We previously found that fallopian tube may contribute to the histogenesis of ovarian endometriosis. The finding was novel and requires further studies. We addressed this issue by examining a differentially expressed gene folate receptor alpha (FOLR1) and its protein (FRA) in this study. Results: A total of 144 tissue samples were studied. These included 32-paired tubal-endometrial-ovarian endometriosis samples (n = 96), 18 samples of ovarian endometriosis without corresponding fallopian tube or endometrium, and 30 ovarian tissue samples with ovarian surface epithelia but without endometriosis. Multiple comparisons among groups of ovarian endometriosis, normal fallopian tube and benign endometrium were performed. FOLR1 was highly expressed in the epithelia of fallopian tube and ovarian endometriosis, with paired endometrial samples showing a significantly lower level of expression. Similar differential studies for FRA protein were performed through Western blot and immunohistochemistry (IHC). The expression of folate receptor alpha at both mRNA and protein levels in the tissues (fallopian tube or ovarian endometriosis vs. the endometrium) were significantly different (p < 0.001). All ovarian surface mesothelial epithelia showed negative expression of FRA by IHC. Conclusion: The results further support that the fallopian tube may contribute to the development of ovarian endometriosis. Understanding the tubal contribution to ovarian endometriosis should ultimately contribute to ongoing investigative efforts aimed at identifying alternative ways to prevent and treat endometriosis. High level of FRA expression in the fallopian tube and endometriosis might be considered as potential tissue sites for targeted therapy.

Ultrasound image-based deep learning to differentiate tubal-ovarian abscess from ovarian endometriosis cyst.

Objectives: We developed ultrasound (US) image-based convolutional neural networks (CNNs) to distinguish between tubal-ovarian abscess (TOA) and ovarian endometriosis cyst (OEC). Methods: A total of 202 patients who underwent US scanning and confirmed tubal-ovarian abscess or ovarian endometriosis cyst by pathology were enrolled in retrospective research, in which 171 patients (from January 2014 to September 2021) were considered the primary cohort (training, validation, and internal test sets) and 31 patients (from September 2021 to December 2021) were considered the independent test cohort. There were 68 tubal-ovarian abscesses and 89 OEC, 4 TOA and 10 OEC, and 10 TOA and 21 OEC patients belonging to training and validation sets, internal sets, and independent test sets, respectively. For the model to gain better generalization, we applied the geometric image and color transformations to augment the dataset, including center crop, random rotation, and random horizontal flip. Three convolutional neural networks, namely, ResNet-152, DenseNet-161, and EfficientNet-B7 were applied to differentiate tubal-ovarian abscess from ovarian endometriosis cyst, and their performance was compared with three US physicians and a clinical indicator of carbohydrate antigen 125 (CA125) on the independent test set. The area under the receiver operating characteristic curves (AUROCs) of accuracy, sensitivity, and specificity were used to evaluate the performance. Results: Among the three convolutional neural networks, the performance of ResNet-152 was the highest, with AUROCs of 0.986 (0.954-1). The AUROCs of the three physicians were 0.781 (0.620-0.942), 0.738 (0.629-848), and 0.683 (0.501-0.865), respectively. The clinical indicator CA125 achieved only 0.564 (0.315-0.813). Conclusion: We demonstrated that the CNN model based on the US image could discriminate tubal-ovarian abscess and ovarian endometriosis cyst better than US physicians and CA125. This method can provide a valuable predictive reference for physicians to screen tubal-ovarian abscesses and ovarian endometriosis cysts in time.