Biomarker-driven Targeted Therapy in Patients With Recurrent Platinum-resistant Epithelial Ovarian...
Ovarian CancerThis study is an open-label, multicenter, umbrella study aimed to evaluate the combined, biomarker-driven, targeted treatment efficiency of Pamiparib, Bevacizumab, Tislelizumab, and Nab-paclitaxel in patients with platinum-resistant recurrent ovarian cancer (PROC).
Plasmodium Immunotherapy for Advanced Ovarian Cancer
Advanced Ovarian CancerThe main purpose of this study is to evaluate the safety and effectiveness of Plasmodium immunotherapy in the treatment of advanced ovarian cancer. This study plans to enroll 30 patients with advanced ovarian cancer. Each patient is inoculated with Plasmodium vivax 1-5 × 10^6, observe the time when the parasite is detected in the peripheral blood of the subjects after the inoculation of Plasmodium, the change of the parasite density in the peripheral blood of the whole treatment cycle and the control effect of the drug on the parasite density, the main clinical symptoms and signs, laboratory test indicators, immunological test indicators and changes in the quality of life. To evaluate the safety and tolerance of the subjects to Plasmodium immunotherapy, as well as the changes of tumor related indicators and immunological indicators.
Early Detection of Ovarian Cancer Using Plasma Cell-free DNA Fragmentomics (Prospective Study)
Ovarian CancerThe purpose of this study is to enable non-invasive early detection of ovarian cancer in high-risk populations through the establishment of a multimodal machine learning model using plasma cell-free DNA fragmentomics. Plasma cell-free DNA from early stage ovarian cancer patients and healthy individuals will be subjected to whole-genome sequencing. Five diferent feature types, including Fragment Size Coverage (FSC), Fragment Size Distribution (FSD), EnD Motif (EDM), BreakPoint Motif (BPM), and Copy Number Variation (CNV) will be assessed to generate this model.
Diagnosing Ovarian Cysts - the DOC Study
Ovarian CystsOvarian Cancer2 moreBackground: Ovarian cysts are common in women. The vast majority is benign; yet, ovarian cancer (OC) is seen in 500 women every year in Denmark. OC is often diagnosed in advanced stages, and OC is the fifth most deadly cancer in women in more developed countries. It can be a clinical challenge to distinguish benign ovarian cysts from OC. Currently, the Risk of Malignancy Index (RMI) is used to detect women at high risk of OC in Denmark, however, new methods to correctly differentiate benign ovarian cysts from OC at an early stage is needed. New promising studies suggest an improved diagnostic accuracy by adding the biomarker Human Epididymis Protein 4 (HE4) and systemized ultrasound imaging International Ovarian Tumor Analysis (IOTA). Purpose: The purpose is to evaluate the diagnostic performance of HE4 and IOTA in a Danish clinical setting. Furthermore, to develop an optimized diagnostic algorithm to differentiate ovarian cysts based on a combination of symptoms, biomarkers and IOTA. Methods: The study is a prospective, observational study. Women with ovarian cysts are included from gynecological practitioners and departments in the Capital Region of Denmark. Detailed information on health and symptoms are registered, and the cysts are systematically described by the gynecologist in accordance to the IOTA terminology. HE4 will be analyzed in those women who routinely needs a diagnostic blood test for CA125. Data will be coupled with data from the patient file and Danish Gynecological Cancer Database (DGCD). The diagnostic utility of HE4 and IOTA will be evaluated both alone and in combinations with health information, symptoms, and CA125. The study has been approved by the Regional Committee on Health Research Ethics (H-19021342) and the Data Protection Agency (P-2019-340). Significance: This study establishes a unique database which will form the basis for developing an optimized method for differentiating ovarian cysts, and thus optimize referral and diagnosis.
Specimen and Data Study for Ovarian Cancer Early Detection and Prevention
Cervical CancerEndometrial Cancer8 moreRATIONALE: To improve strategies for detection and prevention of early-stage disease. PURPOSE: This research study is collecting specimens and data to develop better methods for early detection and prevention of ovarian cancer among the high risk population and those who have the disease.
Aribulin Combined With Carboplatin and Bevacizumab in the Treatment of Ovarian Cancer
Ovarian CancerThis is a prospective phase II, single-center, single-arm clinical study of platinum-sensitive relapsed ovarian cancer. The main objective of this study is to evaluate the efficacy, safety and tolerability of Aribrine combined with carboplatin and bevacizumab in first-line treatment of platinum-sensitive relapsed ovarian cancer.
Acupressure for Fatigue in Ovarian Cancer Survivors
FatigueOvarian CancerThe purpose of this study is to see if accupressure can help reduce the severity of fatigue experienced by ovarian cancer patients. Acupressure involves applying mild to moderate physical pressure by fingers, hand or a device to specific points on the skin to try to bring about a change in the body's functioning, in this case relief from chronic fatigue.
Determining Prognostic Immune Markers in Patients With Ovarian Cancer
Epithelial Ovarian CancerThe IMPRoVE study is a prospective, non-interventional, explorative cohort study to determine prognostic immune markers in patients with epithelial ovarian cancer, fallopian tube cancer, and primary peritoneal cancer (EOC).
Platino-resistance in Ovarian Cancer
Epithelial Ovarian CancerProspective, monocentric study aiming to identify factors involved in platinum based-chemotherapy resistance in patients with epithelial ovarian cancer (all stages). Patients will receive treatment (platinum based-chemotherapy) according to the standard practices. A prospective database and an associated biological collection will be performed during 5 years: For each patient: clinical, biological, epidemiological and therapeutic treatment data will be collected during the standard therapeutic care. Biological samples (blood samples, tumor biopsy specimens and ascites samples) will be collected for all patients. These samples will be collected at the same time as those taken in standard practice (no additional biopsy will be performed for the study). Study participation of each patient will be 5 years.
The Culture of Ovarian Cancer Organoids and Drug Screening
Ovarian CancerThe tumor organoids platform can provide the precise genetic information and phenotype, as well as the heterogeneity of the tumor, thus provide information on drug sensitivity specific to the patient.This is an exploratory research to see if organoids testing could help guide precision treatment for ovarian cancer(OC) patients.