Active clinical trials for "Ovarian Neoplasms"

This is a non-randomized Phase 2 study of sacituzumab govitecan (IMMU-132) in subjects with recurrent or persistent platinum-resistant epithelial ovarian, fallopian tube, or primary peritoneal cancers.

Multicenter, randomized, open-label, phase II clinical study comparing Dostarlimab +/- Bevacizumab with standard chemotherapy in patients with gynecological clear cell carcinoma. 198 subjects will be enrolled in this study and will be assigned to three groups in a 1:1:1 ratio. Group A: Dostarlimab monotherapy First 3 cycles: Dostalimab 500mg every 3 weeks, IV 4 cycles ~ up to 24 months: Dostalimab 1000mg every 6 weeks, IV Group B: Dostarlimab + Bevacizumab combination therapy First 3 cycles: Dostalimab 500mg every 3 weeks, IV 4 cycles ~ up to 24 months: Dostalimab 1000mg every 6 weeks, IV Bevacizumab administered IV at 15 mg/kg every 3 weeks until disease progression or unacceptable toxicity Group C: General chemotherapy (one of doxorubicin, paclitaxel, and gemcitabine)

Patients who receive satisfactory PDS, currently the change in CA125 during chemotherapy can only be used to evaluate the effectiveness of chemotherapy. This study plans to use ctDNA dynamic monitoring to detect minimal residual lesions during treatment, to demonstrate the application value of ctDNA dynamic monitoring in predicting the recurrence of ovarian cancer after PDS/IDS surgery.

A phase Ib/II clinical study on the safety, pharmacokinetic characteristics, and preliminary efficacy of SC0191 combination chemotherapy in patients with advanced ovarian cancer.

As one of the most common malignant tumors in women, the incidence of ovarian cancer is expected to increase year by year. Due to its lack of typical symptoms and effective screening methods, and the characteristics of implantation and distant metastasis, more than 70% of ovarian cancers were in the metastatic stage at the time of diagnosis. In this study, the investigators will collect large samples of tissue from patients with ovarian cancer, conduct multi-omics studies, and mapped the characteristic maps of the genome and transcriptome of patients with metastatic ovarian cancer, and explore the molecular mechanisms that can be used as new targets for the treatment of ovarian cancer. Besides, the investigators will design and establish a database of metastatic ovarian cancer, integrate multiple omics, imaging, pathology, and clinical information to study their potential relevance, and analyze the relationship between various omics, imaging, pathology, and prognosis, establish ovaries Cancer prediction model.

comparison between cocs and progesterone only containing pills in treatment of fuctional ovarian cyst

Ovarian cancer is associated with the highest mortality of all gynecologic cancers. In patients with newly diagnosed advanced ovarian cancer after platinum-containing chemotherapy plus bevacizumab therapy, maintenance therapy with olaparib plus bevacizumab significantly prolongs progression-free survival (PFS) in the intended population and is recommended by guidelines. However, study shows those homologous recombinant repair defect (HRD) but Breast Cancer Susceptibility Gene(BRCA) wild type have limited benefit from maintenance therapy with olaparib plus bevacizumab when surgery is with residual(no-R0). Can hyperthermic intraperitoneal chemotherapy(HIPEC) improve the benefits of first-line maintenance therapy in patients with non-R0 resection, HRD? The cohort study will enroll 310 patients with HRD and no-R0 resection who conduct HIPEC during primary treatment and then have olaparib plus bevacizumab as maintenance. Follow-up period is 30 months. The primary endpoint is PFS.

High grade serous ovarian cancer represents the gynecological malignancy with the highest incidence of mortality. Decision-making tools are currently limited to the use of standard imaging modalities and analysis of serum biomarkers, such as CA 125, which often have low specificity and sensitivity. Recently, a growing research interest has been aimed at so-called circulating microRNAs (miRNAs). Indeed, it has been observed that miRNAs are abundantly present in all biological fluids and play the key role of messengers in intercellular communication. Cancer cells have a rapid turnover which results in a continuous release of nucleic acids and vesicles derived from the tumor itself, such as the tumor cells themselves that separate from the tumor mass to enter the bloodstream. Given their important role as modulators of gene expression, in order to preserve their integrity, miRNAs are encapsulated in specific vesicles, in order to prevent their degradation by the enzymes present in biological fluids. In this context, the chance of monitoring the expression levels of specific miRNAs represents a very interesting option both for an early diagnosis and for monitoring the clinical response to pharmacological treatment. Currently, there are no non-invasive approaches to monitor the clinical outcome in real time, while the identification of circulating biomarkers would allow prompt intervention, possibly modifying the pharmacological management in case of progression.

This is a multicenter, open-label, non-randomized pilot study (Phase II). The aim is to obtain evidence of efficacy of niraparib and dostarlimab (TSR-042) in patients with relapsed ovarian cancer in two experimental cohorts and to generate data on PARPi (Poly(ADP-ribose)-Polymerase inhibitor) resistance and predictive biomarkers for IO (Immuno-Oncology) and PARPi.

Endometriosis (EMS) is a chronic, invaliding, inflammatory gynaecological condition affecting 10-15% of women in reproductive age. EMS is characterized by lesions of endometrial-like tissue outside the uterus involving pelvic peritoneum and ovaries. In addition, distant foci are sometimes observed. Unfortunately, the aetiology of the EMS is little known. Although non-malignant, EMS shares similar features with cancer, such as development of local and distant foci, resistance to apoptosis and invasion of other tissues with subsequent damage to the target organs. Moreover, patients with EMS (particularly ovarian EMS) showed high risk (about 3 to 10 times) of developing epithelial ovarian cancer (EOC). Epidemiologic, morphological and molecular studies reported endometrioma as the precursor of EOC, including clear cell (CCC) endometrioid carcinoma which are both called "EMS-related ovarian carcinoma (EROC)". To date, it remains unclear why benign EMS causes malignant transformation. This multi-step process, unlike high-grade serous carcinomas, offers the possibility to identify the carcinoma precursors enabling an early diagnosis and in the early stages of the disease. EOC is the most lethal female gynecological cancer with 25% 5-year overall survival (OS), due to the lack of effective screening tools, and rapidly spreads over the entire peritoneal surface (carcinosis) thus involving all abdominal organs. Diagnosis and clinical staging of EOC is currently performed by qualitative image evaluation although the sensitivity/specificity is suboptimal. To date, diagnostic, staging, and prognostic factors are strongly correlated with subjective assessment training and clinician experience. Genomic analysis based on Next Generation Sequencing (NGS) has revealed the presence of cancer-associated gene mutations in EMS. Moreover, the chronic inflammatory process of EMS involves many factors, such as hormones, cytokines, glycoproteins, and angiogenic factors, which are expected to become early EMS biomarkers. A promising new branch of cancer research is the use of artificial intelligence (AI) to recognize new image patterns and texture and/or detecting novel biomarkers to improve the early identification of EROC patients. AI has never been used for EROC and we want to investigate whether these methods/techniques can support and even improve current diagnostics and risk assessment. AI will be used to construct a new 3D risk assessment model based on images and volume of interest