Introduction: Brenner tumors are uncommon epithelial-stromal neoplasms that usually arise in the ovary and comprise a small proportion of ovarian tumors. Extraovarian Brenner tumors are exceedingly rare, and cervical involvement is exceptional. Because of their unusual location and histologic resemblance to other cervical epithelial lesions, accurate diagnosis can be challenging on limited biopsy material. Case Description: A 43-year-old woman presented with prolonged menstrual bleeding and a clinically suspicious cervical mass. An initial cervical punch biopsy demonstrated benign inflammatory and metaplastic changes. Due to persistent symptoms, a repeat biopsy was performed. Histopathologic examination revealed well-defined nests and cords of urothelial-like epithelial cells with focal cystic change embedded in a dense fibrous stroma. The tumor cells showed elongated nuclei with dense chromatin, inconspicuous nucleoli, and clear cytoplasm with distinct cell borders. Occasional mitotic figures were present without significant cytologic atypia. Immunohistochemical studies demonstrated tumor cell positivity for GATA-3, CK7, p63, and p16, with estrogen receptor positivity in the surrounding stroma, supporting the diagnosis of a borderline extra-ovarian Brenner tumor of the cervix. Discussion: Cervical Brenner tumors are extremely rare and may closely mimic squamous cell carcinoma, transitional cell carcinoma, or benign squamous metaplasia, particularly in small biopsy specimens. Recognition of the characteristic nested urothelial-like architecture, together with a focused immunohistochemical panel, is essential for accurate classification and to prevent misdiagnosis and unnecessary aggressive management. Conclusion This case highlights a rare borderline extra-ovarian Brenner tumor arising in the cervix and emphasizes the importance of correlating histomorphologic features with immunohistochemistry in establishing the correct diagnosis of unusual cervical neoplasms.
Brenner Tumor ; Immunohistochemistry ; Urothelium ; Uterine Cervical Neoplasms

Introduction: Ovarian lymphoma is rare and often misdiagnosed, as its clinical presentation can be similar to other more frequent tumors. It accounts for <1% of all non-Hodgkin lymphomas, with high-grade B-cell lymphoma being the most frequently implicated subtype. Case Description: A 48-year-old woman presented with bilateral ovarian masses, elevated CA-125, and extensive abdominal and thoracic lymphadenopathy. She was managed as advanced ovarian cancer and underwent TAHBSO. Grossly, both ovaries were enlarged and nodular. Histology showed a round cell neoplasm composed predominantly of medium-sized, cleaved lymphocytes, admixed with scattered larger atypical cells. Initial immunohistochemistry panel demonstrated diffuse CD45 positivity and negativity for AE1/AE3, Inhibin, SALL4, Desmin, and Calretinin. Subsequently, CD20 and PAX5 showed diffuse reactivity. CD10, BCL2, and BCL6 highlighted neoplastic follicles. CD3 was negative. High-grade B-cell lymphoma was considered; however, the Ki-67 proliferative index was 38%, and c-MYC expression was low (5%). A final diagnosis of follicular lymphoma involving both ovaries was rendered. Discussion: The clinical presentation strongly suggested advanced ovarian carcinoma. However, histologic and immunophenotypic evaluation established lymphoma. Although aggressive subtypes are more common in advanced cases, indolent entities such as follicular lymphoma should also be considered, particularly in resource-limited settings where delays in diagnosis occur. Distinguishing lymphoma from carcinoma is critical, as management differs significantly and misclassification may lead to overtreatment. Conclusion Recognition of ovarian lymphoma is critical, as accurate diagnosis alters management and prevents unnecessary radical surgery.
CA-125 Antigen ; Immunohistochemistry ; Lymphoma, Follicular ; Ovarian Neoplasms

Ovarian cancer poses a significant threat to women's health, necessitating effective therapeutic strategies. Emd-D, an emodin derivative, demonstrates enhanced pharmaceutical properties and bioavailability. In this study, Cell Counting Kit 8 (CCK8) assays and Ki-67 staining revealed dose-dependent inhibition of cell proliferation by Emd-D. Migration and invasion experiments confirmed its inhibitory effects on OVHM cells, while flow cytometry analysis demonstrated Emd-D-induced apoptosis. Mechanistic investigations elucidated that Emd-D functions as an inhibitor by directly binding to the glycolysis-related enzyme PFKFB4. This was corroborated by alterations in intracellular lactate and pyruvate levels, as well as glucose transporter 1 (GLUT1) and hexokinase 2 (HK2) expression. PFKFB4 overexpression experiments further supported the dependence of Emd-D on PFKFB4-mediated glycolysis and SRC3/mTORC1 pathway-associated apoptosis. In vivo experiments exhibited reduced xenograft tumor sizes upon Emd-D treatment, accompanied by suppressed glycolysis and increased expression of Bax/Bcl-2 apoptotic proteins within the tumors. In conclusion, our findings demonstrate Emd-D's potential as an anti-ovarian cancer agent through inhibition of the PFKFB4-dependent glycolysis pathway and induction of apoptosis. These results provide a foundation for further exploration of Emd-D as a promising drug candidate for ovarian cancer treatment.
Female ; Humans ; Ovarian Neoplasms/physiopathology* ; Phosphofructokinase-2/genetics* ; Apoptosis/drug effects* ; Glycolysis/drug effects* ; Animals ; Cell Line, Tumor ; Mice ; Cell Proliferation/drug effects* ; Emodin/administration & dosage* ; Mice, Nude ; Mice, Inbred BALB C ; Hexokinase/metabolism* ; Xenograft Model Antitumor Assays

Objective To explore the mechanism of TPT1-AS1 targeting miR-324/TWIST1 axis to regulate the proliferation, invasion, migration and angiogenesis of epithelial ovarian cancer (EOC) cells, thereby affecting ovarian cancer (OC) progression. Methods RT-qPCR was used to detect the expression of TPT1-AS1 and miR-324 in 29 OC lesions and adjacent tissue samples. The two OC cell models of TPT1-AS1 overexpression and miRNA324 knockdown were constructed, and the cell proliferation, invasion and migration abilities were detected by CCK-8, Transwell^TM and scratch test. Western blot analysis was used to detect the protein expression levels of TWIST1, epithelial cadherin (E-cadherin), Vimentin, and vascular endothelial growth factor A (VEGF-A) in OC cells. Fluorescence in situ hybridization (FISH) and RNA pull-down experiments were used to verify the interaction between TPT1-AS1 and miR-324. Immunohistochemistry and Targetscan bioinformatics analysis were used to verify the negative regulatory role of miR-324 in the epithelial-mesenchymal transition (EMT) process. Results The TPT1-AS1 expression was significantly higher in OC tissues than that in para-cancerous tissues, while the miR-324 expression was significantly lower. In SKOV3 cells with TPT1-AS1 overexpression, the miR-324 expression decreased significantly, and TPT1-AS1 was negatively correlated with miR-324. It was also found that TPT1-AS1 and miR-324 were co-expressed in OC cells, and there was a direct binding relationship between them. Down-regulation of miR-324 significantly promoted the proliferation, invasion and migration of SKOV3 cells. Further studies revealed that miR-324 had a binding site at the 3'-UTR end of the TWIST1, a key transcription factor for EMT. Inhibiting miR-324 expression increased the transcription level of TWIST1, leading to a decrease in E-cadherin protein expression and an increase in Vimentin protein expression. Additionally, the downregulation of miR-324 resulted in an increased expression level of VEGF-A protein, which in turn enhanced angiogenesis of OC. Conclusion TPT1-AS1 promotes EOC cell proliferation, invasion, migration and angiogenesis by negatively regulating the miR-324/TWIST1 axis, thus promoting the development of OC. These findings provide new potential targets for the diagnosis and treatment of OC.
Humans ; MicroRNAs/metabolism* ; Female ; Cell Movement/genetics* ; Ovarian Neoplasms/blood supply* ; Twist-Related Protein 1/metabolism* ; Cell Line, Tumor ; Neovascularization, Pathologic/genetics* ; Neoplasm Invasiveness ; Carcinoma, Ovarian Epithelial/metabolism* ; Nuclear Proteins/metabolism* ; Cell Proliferation/genetics* ; Epithelial-Mesenchymal Transition/genetics* ; Gene Expression Regulation, Neoplastic ; RNA, Long Noncoding/metabolism* ; Cadherins/genetics* ; Vascular Endothelial Growth Factor A/genetics* ; Vimentin/genetics* ; Angiogenesis

Primary female genital system lymphoma(PFGSL)is a rare subtype of extranodal lymphoma and patients commonly present in the department of gynecology.At present,there is a lack of uniform standards for the treatment of PFGSL.Although the classification of lymphoid neoplasmas was updated by the World Health Organization classification of haematolymphoid tumors in 2016,PFGSL was still not elaborated in sufficient detail.Most cases of PFGSL are non-Hodgkin lymphoma,involving the ovary and cervix.In some cases,involvement of uterine corpus,vagina,and vulva is reported.In this article,we report two cases of non-Hodgkin lymphoma in the female genital system,one from the uterus and the other from the ovary.By presenting the diagnosis and treatment of the two cases and reviewing the literature,we aim to provide a reference for clinicians in recognizing and treating rare cases.
Female ; Humans ; Genital Neoplasms, Female/diagnosis* ; Lymphoma, Non-Hodgkin/diagnosis* ; Ovarian Neoplasms

Objective To investigate the effect of the small molecule inhibitor C42 of kallikrein-related peptidase 7(KLK7)on ovarian cancer with elevated expression of KLK7 and evaluate the feasibility of C42 as a new therapeutic strategy for ovarian cancer.Methods The CCK-8 assay,flow cytometry,cell scratch assay,Transwell assay,and Western blotting were employed to assess the effects of C42 on the proliferation,migration,and invasion of the ovarian cancer cell line SKOV3,which was characterized by high KLK7 expression.Additionally,a subcutaneous xenograft model of ovarian cancer was established with SKOV3 cells in nude mice to evaluate the effects of C42 on the tumor growth and metastasis.The expression levels of proteins associated with tumor metastasis and invasion in the tumor tissue were examined by immunohistochemical techniques.Results The cellular experiment showed that C42 suppressed the proliferation,migration,and invasion(all P<0.001)of SKOV3 cells,compared with the control group.The animal experiment showed that compared with the control group,the 10.2 mg/kg C42 group exhibited a decreased tumor weight(P=0.009) and attenuated liver metastases.Immunohistochemical staining revealed that the 10.2 mg/kg C42 group demonstrated down-regulated expression of the tumor proliferation marker Ki-67(P=0.002)and the tumor metastasis and invasion-associated proteins such as matrix metalloproteinase-9(P=0.027)and Vimentin(P=0.039).Conclusion The small molecule inhibitor C42 of KLK7 effectively suppresses the proliferation,migration,and invasion of ovarian cancer SKOV3 cells.
Female ; Humans ; Ovarian Neoplasms/drug therapy* ; Kallikreins/antagonists & inhibitors* ; Animals ; Mice, Nude ; Cell Line, Tumor ; Cell Proliferation/drug effects* ; Mice ; Cell Movement/drug effects* ; Xenograft Model Antitumor Assays ; Mice, Inbred BALB C

Herlyn–Werner–Wunderlich Syndrome (HWWS) is a rare congenital Mullerian duct anomaly, characterized by the presence of an obstructed hemivagina with uterus didelphys and an ipsilateral renal anomaly (OHVIRA). Ovarian serous adenocarcinoma is a type of epithelial ovarian cancer and accounts for about 90% of all ovarian cancers. The incidence of Müllerian duct anomalies associated with ovarian cancer is unknown. Due to its rarity of these conditions, diagnosis and management are challenging. In this paper, we present a case of a 53-year-old, nulligravid woman who presented with an acute abdomen. A transrectal and transabdominal sonography showed an ovarian mass with malignant features. Immediate surgical intervention was performed, and removal of the ovarian mass was done. Intraoperatively, findings of obstructed hemivagina, uterine didelphys, and the absence of one kidney were noted, suggestive of HWWS. Biopsy of the mass revealed borderline serous cystadenocarcinoma of the right ovary.

OBJECTIVES: Ovarian cancer is a common gynecologic malignancy, with poor prognosis in advanced stages. This study aimed to identify differentially expressed long noncoding RNA (lncRNA) associated with ovarian cancer prognosis and to explore the effects of lncRNA RP11-499E18.1 on the malignant biological behavior of ovarian cancer cells. METHODS: Ovarian cancer-related lncRNA datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed and prognostically relevant tumor-suppressive lncRNAs were screened using lncRNA sequencing combined with clinical data. Reverse transcription PCR (RT-PCR) was used to detect the expression of lncRNA RP11-499E18.1 in ovarian cancer tissues, adjacent normal tissues, the IOSE80 normal ovarian epithelial cell line, and various ovarian cancer cell lines. Fluorescence in situ hybridization (FISH) was performed to determine its subcellular localization. Ovarian cancer cell lines CaOV3 and SKOV3 were divided into 3 groups: a negative control (NC) group, a knockdown (si-RP11-499E18.1) group, and a overexpression (pcDNA-RP11-499E18.1) group. Methyl thiazolyl tetrazolium (MTT) and Transwell assays were used to assess the effects of lncRNA RP11-499E18.1 on cell proliferation and migration. Western blotting was used to evaluate its effect on epithelial-mesenchymal transition (EMT)-related molecules. BALB/c nude mice were injected with CaOV3 cells transfected with pcDNA-RP11-499E18.1 (experimental group) or empty vector (control group), and tumor growth was monitored. Immunohistochemistry was used to assess the expression of Caspase 3 and Ki67 in tumor tissues. RESULTS: LncRNA sequencing identified RP11-499E18.1 as a differentially expressed and associated with prognosis. GEO data analysis showed that low RP11-499E18.1 expression was correlated with shorter overall and progression-free survival (both P<0.05). Its expression was significantly lower in ovarian cancer tissues and cell lines compared to normal controls (P<0.05 or P<0.001), and it was localized in both the nucleus and cytoplasm. In CaOV3 and SKOV3 cells, proliferation rates increased significantly in the si-RP11-499E18.1 group and decreased in the pcDNA-RP11-499E18.1 group (P<0.05 or P<0.001). Cell migration was enhanced in the si-RP11-499E18.1 group and suppressed in the pcDNA-RP11-499E18.1 group. Overexpression increased E-cadherin and decreased vimentin expression, while knockdown had the opposite effect. Tumor volume in the mouse model was significantly smaller in the experimental group (P<0.001), with increased Caspase 3 and decreased Ki67 expression in tumor tissues (both P<0.05). CONCLUSIONS LncRNA RP11-499E18.1 inhibits proliferation, migration, and EMT of ovarian cancer cells, and its low expression is associated with poor prognosis.
Female ; Humans ; RNA, Long Noncoding/physiology* ; Ovarian Neoplasms/pathology* ; Cell Line, Tumor ; Animals ; Mice ; Mice, Nude ; Cell Proliferation ; Prognosis ; Mice, Inbred BALB C ; Gene Expression Regulation, Neoplastic ; Cell Movement ; Epithelial-Mesenchymal Transition

OBJECTIVES: Wild-caught Microtus fortis (M. fortis) at the age of 9-15 months can develop epithelial ovarian cancers similar to human epithelial ovarian cancers under natural conditions during experimental animal breeding, but its pathological types and biological characteristics remain unclear. This study aims to analyze the biological characteristics of spontaneous ovarian cancer in M. fortis, intending to develop M. fortis as an animal model for human epithelial ovarian cancer. METHODS: The female M. fortis (9-15 months old) with spontaneous ovarian cancer were selected as the experimental group, and healthy M. fortis from the same litter were selected as the control group. The ovarian pathological changes of the two groups were observed by dissection. Blood routine and biochemical indicators were measured by biochemical analysis. Hematoxylin and eosin (HE) staining was performed to observe the pathological changes in the ovarian cancer tissue of M. fortis. Immunohistochemical staining was used to detect the protein expression of common ovarian cancer markers, and real-time RT-PCR was used to analyze the transcription levels of ovarian cancer-related genes. RESULTS: Spontaneous ovarian cancer in M. fortis mainly affects both ovaries, with tumors appearing solid or cystic. HE staining and histopathological analysis confirmed that the ovarian tumors originated from ovarian surface epithelium. Compared to the control group, the experimental group showed significantly decreased hemoglobin (P<0.01), hematocrit (P<0.05), albumin (P<0.05), and blood glucose levels (P<0.01), while lymphocyte percentage (P<0.05), monocyte percentage (P<0.05), cholesterol (P<0.01), and progesterone (P<0.01) levels were significantly increased. Expression of ovarian cancer-related genes, including ID3, CDC42, RHOA, RB1CC1, NF1, PIN1, MIB1, PDS5A, MCM7, and MLH1, was significantly downregulated (all P<0.05), while PAX8 gene expression was significantly upregulated (P<0.05). Immunohistochemical results showed that Wilms' tumor gene 1 (WT1) protein was mainly distributed throughout the cell, with significantly higher expression in ovarian cancer M. fortis. Tumor protein 53 (TP53) was expressed in both healthy and ovarian cancer M. fortis and was distributed throughout the cell. Hepatocyte nuclear factor 1 beta (HNF1B) and progesterone receptor (PR) protein were highly expressed in the ovarian tissue of healthy M. fortis but were significantly reduced in the ovarian cancer M. fortis, though both were located in the cytoplasm. CONCLUSIONS Spontaneous ovarian cancer in M. fortis is serous ovarian cancer. Compared to healthy M. fortis, significant differences were observed in ovarian tissue morphology, biochemical indicators, ovarian cancer-related gene expression, and protein expression, which show similarity to the biological characteristics of human serous ovarian cancer. This suggests that M. fortis could be an ideal animal model for studying human serous ovarian cancer.
Female ; Ovarian Neoplasms/metabolism* ; Animals ; Carcinoma, Ovarian Epithelial ; Disease Models, Animal ; Humans ; Neoplasms, Glandular and Epithelial/metabolism* ; Ovary/pathology*

OBJECTIVES: To evaluate the performance of a multi-constraint representation learning classification model for identifying ovarian cancer with missing laboratory indicators. METHODS: Tabular data with missing laboratory indicators were collected from 393 patients with ovarian cancer and 1951 control patients. The missing ovarian cancer laboratory indicator features were projected to the latent space to obtain a classification model using the representational learning classification model based on discriminative learning and mutual information coupled with feature projection significance score consistency and missing location estimation. The proposed constraint term was ablated experimentally to assess the feasibility and validity of the constraint term by accuracy, area under the ROC curve (AUC), sensitivity, and specificity. Cross-validation methods and accuracy, AUC, sensitivity and specificity were also used to evaluate the discriminative performance of this classification model in comparison with other interpolation methods for processing of the missing data. RESULTS: The results of the ablation experiments showed good compatibility among the constraints, and each constraint had good robustness. The cross-validation experiment showed that for identification of ovarian cancer with missing laboratory indicators, the AUC, accuracy, sensitivity and specificity of the proposed multi-constraints representation-based learning classification model was 0.915, 0.888, 0.774, and 0.910, respectively, and its AUC and sensitivity were superior to those of other interpolation methods. CONCLUSIONS The proposed model has excellent discriminatory ability with better performance than other missing data interpolation methods for identification of ovarian cancer with missing laboratory indicators.
Female ; Humans ; Ovarian Neoplasms/diagnosis* ; Machine Learning ; ROC Curve