View clinical trials related to Ovarian Cancer.
Filter by:This is an open-label, Phase 1 study with a dose expansion cohort of Sacituzumab Govitecan in Combination with Cisplatin in Platinum Sensitive Recurrent Ovarian and Endometrial Cancer. The goal of the study is to determine the optimal dose of sacituzumab govitecan for use in combination with cisplatin for treatment of epithelial ovarian and endometrial cancers.
This prospective, non-interventional study is designed to evaluate the quality of life of Chinese ovarian cancer patients with long-term niraparib use in a real-world setting. Participants will complete questionnaires or accept telephone follow-up to provide information about their quality of life.
To develop a shared decision-making (SDM) tool to help Spanish-speaking patients make decisions about their maintenance therapy
Non-profit, multicenter, prospective, observational study. This study aims to evaluate whether the articulated treatment algorithm that is now possible for OC patients does produce tangible changes of financial distress over the time and whether the determinants of financial distress change their relative weight over the time.
The goal of this study is to evaluate patient's compliance for opportunistic salpingectomy (OS) and procedure feasibility in non gynecological abdominal surgeries
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.
The implementation of liquid biopsy in clinical practice has been favored by the rapid development of genome sequencing techniques designed to analyze mutations in ctDNA. Among these, the Next generation sequencing (NGS) is a technique that consists in sequencing several genomes in a short time span, collecting information about a wider range of genomic alterations, using small quantities of genetic material. It is used to identify potential circulating dynamic biomarkers of treatment sensitivity or resistance in a real word multi-pathology evaluation. In this way, defining the mutational status of clinical relevance genes in real world, as a predictive biomarker to identify those patients most likely to benefit from target therapy, offers the potential to optimize access to further therapies. The aim of this study is to evaluate the real-world prevalence of clinically useful mutations in patients who are receiving therapy for advanced and locally advanced solid tumor through liquid biopsy.
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.
The aim of this study is to show the superiority of the new unidirectional barbed suture (SYMMCORA® mid-term, unidirectional) to conventional suture material in terms of time to perform the vaginal cuff closure during gynecologic surgeries without an increase in the complication rate. Secondly, the superiority of SYMMCORA®, mid-term unidirectional compared to the V-Loc®, unidirectional will be assessed regarding the mean time to close the vaginal cuff. The study will be performed in routine clinical setting, the only difference will be the randomization into two different suture groups. Both suture materials which will be applied to approximate the vaginal cuff are approved and carrying the CE-marks. Additionally, both sutures will be applied in their intended use. Neither additional invasive measures nor additional burden in regard to the patient will be performed.
Ovarian cancer is a highly lethal gynecological malignancy, often diagnosed at an advanced stage, with high rates of recurrence within 1-2 years after frontline treatment. Current guidelines recommend monitoring tumor markers CA125 and HE4 for disease progression, but these markers may not detect recurrence or disease progression when their levels are below the detection limit. Therefore, there is a need to identify new prognostic biomarkers and monitor their dynamic changes for effective risk stratification and personalized treatment in patients with ovarian cancer