View clinical trials related to Ovarian Neoplasms.
Filter by:The primary purpose of the study is to determine which of four components (symptom-burden tailored app, exercise partner, oncology provider engagement, coaching) added to a core intervention of a wearable activity tracker and commercially available app, will improve physical activity. The findings will generate meaningful knowledge about how to best increase physical activity in older gynecologic cancer patients receiving systemic cancer therapies to improve quality of life and cancer-specific survival.
HS-10502 is a Poly(ADP-ribose) polymerase 1 (PARP1)-specific selective inhibitor. The purpose if this study is to assess the safety, tolerability, pharmacokinetics (PK), and efficacy of HS-10502 in subjects with homologous recombination repair (HRR) gene mutant or homologous recombination deficiency (HRD) positive advanced solid tumors.
The purpose of this study is to compare the efficacy and safety of nab-paclitaxel with solvent-based taxanes as first-line treatment for patients with advanced primary epithelial ovarian cancer (EOC), primary peritoneal carcinoma or fallopian tube carcinoma.
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 purpose of this study is to assess the feasibility, acceptability, and preliminary effects of a digital (web and mobile-phone-based) program to improve lifestyle behaviors (physical activity, dietary intake) among Hispanic female cancer survivors and adult daughters.
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
A total of 80 individuals receiving treatment for metastatic breast or advanced stage ovarian cancer will be asked to complete a baseline survey and install the mobile app on their smartphone; carry the smartphone for 28 consecutive days while outside the home; keep smartphone location and motion services active; confirm and correct (if needed) smartphone-detected activities and trips; use the app interface to provide additional information on activities and trips related to cancer treatment tasks; complete daily surveys regarding well-being; and at the end of the 28 day period, complete an online survey.
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.
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.