Ovarian cancer is the most lethal malignancy affecting the female reproductive system. Pharmacological inhibitors targeting CDK4/6 have demonstrated promising efficacy across various cancer types. However, their clinical benefits in ovarian cancer patients fall short of expectations, with only a subset of patients experiencing these advantageous effects. This study aims to provide further clinical and biological evidence for antineoplastic effects of a CDK4/6 inhibitor (TQB4616) in ovarian cancer and explore underlying mechanisms involved. Patient-derived ovarian cancer organoid models were established to evaluate the effectiveness of TQB3616. Potential key genes related to TQB3616 sensitivity were identified through RNA-seq analysis, and TRIM4 was selected as a candidate gene for further investigation. Subsequently, co-immunoprecipitation and GST pull-down assays confirmed that TRIM4 binds to hnRNPDL and promotes its ubiquitination through RING and B-box domains. RIP assay demonstrated that hnRNPDL binded to CDKN2C isoform 2 and suppressed its expression by alternative splicing. Finally, in vivo studies confirmed that the addition of siTRIM4 significantly improved the effectiveness of TQB3616. Overall, our findings suggest that TRIM4 modulates ubiquitin-mediated degradation of hnRNPDL and weakens sensitivity to CDK4/6 inhibitors in ovarian cancer treatment. TRIM4 may serve as a valuable biomarker for predicting sensitivity to CDK4/6 inhibitors in ovarian cancer.
Humans ; Female ; Ovarian Neoplasms/pathology* ; Animals ; Tripartite Motif Proteins/genetics* ; Mice ; Cyclin-Dependent Kinase 4/antagonists & inhibitors* ; Cell Line, Tumor ; Cyclin-Dependent Kinase 6/antagonists & inhibitors* ; Protein Kinase Inhibitors/pharmacology* ; Ubiquitin/metabolism* ; Xenograft Model Antitumor Assays ; Ubiquitination ; Antineoplastic Agents/pharmacology*

This study aimed to evaluate the efficacy and safety of combining albumin-bound paclitaxel (abpaclitaxel) and anlotinib for ovarian cancer. In this study, 44 patients diagnosed with platinum-resistant ovarian cancer were enrolled. Patients received ab-paclitaxel along with anlotinib until disease progression or intolerable toxicity. Efficacy was assessed according to RECIST 1.1 criteria or Rustin's criteria. The primary endpoint was the investigator-evaluated objective response rate (ORR). 44 patients were enrolled between January 2021 and March 2023 with a median age of 49 years. Twenty-nine had measurable lesions and 15 had non-measurable lesions. Overall, the investigator-evaluated ORR was 56.8% (25/44; 95% CI 0.411-0.713) in intention-to-treat population and 58.1% (25/43; 95% CI 0.422-0.726) in per-protocol population. The median progression-free survival was 9.8 months, and the median duration of response was 7.4 months. For safety, grade 3/4 adverse events (AEs) included leukopenia, gum pain, hypertension, and hand-foot syndrome. The response rates were 55.0% (11/20) in patients with previous use of antiangiogenic reagents and who had previous use of PARP inhibitors. The combination of ab-paclitaxel and anlotinib showed promising anti-tumor activity and a manageable safety profile in platinum-resistant ovarian cancer. Patients with previous use of antiangiogenic drugs or PARP inhibitors still benefited from this protocol.
Humans ; Female ; Middle Aged ; Indoles/therapeutic use* ; Quinolines/therapeutic use* ; Carcinoma, Ovarian Epithelial/drug therapy* ; Adult ; Ovarian Neoplasms/drug therapy* ; Prospective Studies ; Antineoplastic Combined Chemotherapy Protocols/administration & dosage* ; Aged ; Drug Resistance, Neoplasm ; Albumin-Bound Paclitaxel/therapeutic use* ; Neoplasm Recurrence, Local/drug therapy* ; Progression-Free Survival ; Paclitaxel/administration & dosage* ; Treatment Outcome

BACKGROUND: Poly adenosine-diphosphate-ribose polymerase (PARP) inhibitors (PARPi) have been approved to act as first-line maintenance (FL-M) therapy and as platinum-sensitive recurrent maintenance (PSR-M) therapy for ovarian cancer in China for >5 years. Herein, we have analyzed the clinical-application characteristics of olaparib and niraparib in ovarian cancer-maintenance therapy in a real-world setting to strengthen our understanding and promote their rational usage. METHODS: A retrospective chart review identified patients with newly diagnosed or platinum-sensitive recurrent ovarian cancer, who received olaparib or niraparib as maintenance therapy at Sichuan Cancer Hospital between August 1, 2018, and December 31, 2021. Patient medical records were reviewed. We grouped and analyzed patients based on the type of PARPi they used (the olaparib group and the niraparib group) and the line of PARPi maintenance therapy (the FL-M setting and the PSR-M setting). The primary endpoint was the 24-month progression-free survival (PFS) rate. RESULTS: In total, 131 patients (olaparib: n = 67, 51.1%; niraparib: n = 64, 48.9%) were enrolled. Breast cancer susceptibility genes ( BRCA ) mutations ( BRCA m) were significantly less common in the niraparib group than in the olaparib group [9.4% (6/64) vs . 62.7% (42/67), P <0.001], especially in the FL-M setting [10.4% (5/48) vs . 91.4% (32/35), P <0.001]. The 24-month progression-free survival (PFS) rates in the FL-M and PSR-M settings were 60.4% and 45.7%, respectively. In patients with BRCA m, the 24-month PFS rates in the FL-M and PSR-M settings were 62.2% and 72.7%, respectively. CONCLUSIONS Olaparib and niraparib were effective in patients with ovarian cancer without any new safety signals except for skin pigmentation. In patients with BRCA m, the 24-month PFS of the PARPi used in the PSR-M setting was even higher than that used in the FL-M setting.
Humans ; Female ; Ovarian Neoplasms/drug therapy* ; Piperazines/therapeutic use* ; Middle Aged ; Retrospective Studies ; Phthalazines/therapeutic use* ; Piperidines/therapeutic use* ; Indazoles/therapeutic use* ; Poly(ADP-ribose) Polymerase Inhibitors/therapeutic use* ; Adult ; Aged ; China ; Neoplasm Recurrence, Local/drug therapy* ; Progression-Free Survival

The study aimed to construct the second and third generation chimeric antigen receptor T cells (CAR-T) targeting the c-mesenchymal-epithelial transition factor (c-Met) protein, and observe their killing effect on human serous ovarian cancer cell SKOV-3. The expression of MET gene in ovarian serous cystadenocarcinoma, the correlation between MET gene expression and the abundance of immune cell infiltration, and the effect of MET gene expression on the tissue function of ovarian serous cystadenocarcinoma were analyzed by bioinformatics. The expression of c-Met in ovarian cancer tissues and adjacent tissues was detected by immunohistochemical staining. The second and third generation c-Met CAR-T cells, namely c-Met CAR-T(2G/3G), were prepared by lentivirus infection, and the cell subsets and infection efficiency were detected by flow cytometry. Using CD19 CAR-T and activated T cells as control groups and A2780 cells with c-Met negative expression as Non target groups, the kill efficiency on SKOV-3 cells with c-Met positive expression, cytokine release and cell proliferation of c-Met CAR-T(2G/3G) were explored by lactate dehydrogenase (LDH) release, ELISA and CCK-8 respectively. The results showed that MET gene expression was significantly up-regulated in ovarian cancer tissues compared with normal tissues, which was consistent with the immunohistochemistry results. However, in all pathological stages, there was no obvious difference in MET expression and no correlation between MET gene expression and the race and age of ovarian cancer patients. The second generation and third generation c-Met CAR-T cells were successfully constructed. After lentivirus infection, the proportion of CD8⁺ T cells in c-Met CAR-T(2G) was upregulated, while there was no significant change in the cell subsets of c-Met CAR-T(3G). The LDH release experiment showed that the kill efficiency of c-Met CAR-T(2G/3G) on SKOV-3 increased with the increase of effect-target ratio. When the effect-target ratio was 20:1, the kill efficiency of c-Met CAR-T(2G) reached (42.02 ± 5.17)% (P < 0.05), and the kill efficiency of c-Met CAR-T(3G) reached (51.40 ± 2.71)% (P < 0.05). ELISA results showed that c-Met CAR-T released more cytokine compared to CD19 CAR-T and activated T cells (P < 0.05). Moreover, the cytokine release of c-Met CAR-T(3G) was higher than c-Met CAR-T(2G) (P < 0.01). The CCK-8 results showed that after 48 h, the cell number of c-Met CAR-T(2G) was higher than that of c-Met CAR-T(3G) (P < 0.01). In conclusion, both the second and third generation c-Met CAR-T can target and kill c-Met-positive SKOV-3 cells, with no significant difference. c-Met CAR-T(2G) has stronger proliferative ability, and c-Met CAR-T(3G) releases more cytokines.
Humans ; Female ; Ovarian Neoplasms/immunology* ; Proto-Oncogene Proteins c-met/metabolism* ; Receptors, Chimeric Antigen/immunology* ; Cell Line, Tumor ; Cystadenocarcinoma, Serous/immunology* ; T-Lymphocytes/immunology*

Humans ; Ovarian Neoplasms/metabolism* ; Female ; Biomarkers, Tumor/metabolism* ; Mutation

Humans ; Ovarian Neoplasms/drug therapy* ; Folate Receptor 1/metabolism* ; Female ; Immunohistochemistry/standards* ; Consensus ; Biomarkers, Tumor/metabolism* ; Fallopian Tube Neoplasms/pathology*

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

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