View clinical trials related to Carcinoma, Ovarian Epithelial.
Filter by:This phase II trial tests how well CPI-613 (devimistat) in combination with hydroxychloroquine (HCQ) and 5-fluorouracil (5-FU) or gemcitabine works in patients with solid tumors that may have spread from where they first started to nearby tissue, lymph nodes, or distant parts of the body (advanced) or that have not responded to chemotherapy medications (chemorefractory). Metabolism is how the cells in the body use molecules (carbohydrates, fats, and proteins) from food to get the energy they need to grow, reproduce and stay healthy. Tumor cells, however, do this process differently as they use more molecules (glucose, a type of carbohydrate) to make the energy they need to grow and spread. CPI-613 works by blocking the creation of the energy that tumor cells need to survive, grow in the body and make more tumor cells. When the energy production they need is blocked, the tumor cells can no longer survive. Hydroxychloroquine is a drug used to treat malaria and rheumatoid arthritis and may also improve the immune system in a way that tumors may be better controlled. Fluorouracil is in a class of medications called antimetabolites. It works by killing fast-growing abnormal cells. Gemcitabine is a chemotherapy drug that blocks the cells from making DNA and may kill tumor cells. CPI-613 (devimistat) in combination with hydroxychloroquine and 5-fluorouracil or gemcitabine may work to better treat advanced solid tumors.
The goal of this sequential study design is to increase genetic testing in those meeting national clinical guidelines. The main question it aims to answer is: which intervention is most effective in uptake of genetic testing for the target population? Participants will receive genetic testing and counseling that may initiate life-saving screenings.
To learn if adding etigilimab to nivolumab therapy can help to control clear cell ovarian, fallopian tube, and primary peritoneal cancers that are resistant to platinum-based therapy
Single center, phase I/II randomized 2-arm study, evaluating two different vaccination regimens combined with low-dose cyclophosphamide in patients with advanced high grade serous ovarian carcinoma (HGSOC): - Arm A patients will be vaccinated with a personalized peptide vaccine comprised of autologous monocyte-derived dendritic cells (moDC) loaded with patient-specific peptides (PEP-DC1 vaccine) identified a priori at screening (8 patients); - Arm B patients will be vaccinated with a personalized tumor lysate vaccine comprising autologous moDC loaded with patient-specific autologous oxidized tumor lysate (OC-DC vaccine), followed by PEP-DC2 vaccine comprised of autologous moDC loaded with up to 10 patient-specific peptides identified midway through OC-DC vaccination (8 patients). In both arms, patients will receive a low dose cyclophosphamide the day before vaccination. Patients will be vaccinated after the end of adjuvant platinum-based chemotherapy, until vaccine exhaustion, disease recurrence, major toxicity or patient withdrawal, whichever is earlier.
This is a randomized phase II study of secondary cytoreductive surgery (CRS) in patients with relapsed ovarian cancer who have progressed on PARP inhibitor maintenance.
This is a phase 1b/2 open-label, multicenter, basket study to determine the safety, anti-tumor activity, tolerability, and pharmacokinetics /pharmacodynamics of AsiDNA in combination with olaparib in participants with recurrent epithelial ovarian cancer, breast cancer and metastatic castration-resistant prostate cancer who have progressed on previous Poly (ADP-ribose) polymerase (PARP) inhibitor therapy. The study will be conducted in two phases. The Phase 1b dose escalation study designed to establish the safety, tolerability, pharmacologically active doses/ maximum tolerated dose and/or recommended phase 2 dose of AsiDNA in combination with olaparib.
The goal of this observational study is to explore the possible associated factors of ovarian cancer and endometrial cancer in Indonesia and develop screening tools that could predict the risk of both types of cancer The specific objectives of the study are 1. Elaborating the situation of ovarian and endometrial cancer in Indonesia 2. Exploring the possible clinical, demography and laboratory predictors of these diseases 3. Develop artificial-intelligence-based screening tools for both type of cancer based on possible predictors This study will utilize the patient registry diagnosed with ovarian and endometrial cancer. We assumed that several demography, clinical, and laboratory predictors might possess good screening performance with higher sensitivity and specificity (>80%).
The 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.
The 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.
This phase I trial tests the safety, side effects, and best dose of combination therapy with pelcitoclax (APG-1252) and cobimetinib in treating patients with ovarian and endometrial cancers that have come back after a period of improvement (recurrent). APG-1252 is a drug that inhibits activity of proteins that prevent cell death, leading to increased cell death and reduced cell growth. Cobimetinib is used in patients whose cancer has a mutated (changed) form of a gene called BRAF. It is in a class of medications called kinase inhibitors. It works by blocking the action of an abnormal protein that signals cancer cells to multiply. This helps slow or stop the spread of cancer cells. Giving APG-1252 in combination with cobimetinib may shrink or stabilize tumor in patients with recurrent ovarian and endometrial cancers.