View clinical trials related to Ovarian Neoplasms.
Filter by:The researchers are doing this study to find out whether the combination of avutometinib, defactinib, and letrozole is an effective treatment for people with low-grade serous ovarian cancer (LGSOC). The researchers will also look at the safety of this combination.
The main aim of this study are to check for side effects from TAK-853, check how much TAK-853 participants can receive without getting side effects from it, check how well TAK-853 controls symptoms, and to check how much TAK-853 stays in their blood over time. The study will be conducted in two phases including Phase 1 Part and Phase 2 Part. In Phase 1 Part, the participants will stay in the hospital for 3 days at least after their 1st injection for some tests and to check for any side effects from their treatment. In Phase 2 Part, participants will visit their study hospital for multiple times. In both phases, the participants will receive TAK-853 on the first days of each 3-week cycle. The participant will be in the study for about 9 months in Phase 1 Part and for about 24 months in Phase 2 Part. The study doctors will check for side effects from the study treatments.
The purpose of this study is to determine if the experimental treatment with poly-ADP ribose polymerase (PARP) inhibitor, ACE-86225106 is safe, tolerable and has anti-cancer activity in adult patients with advanced solid tumors.
This study evaluates how lifestyle modifications that may be made to manage chemotherapy side effects in patients with gynecologic malignancies.
The goal of this clinical trial is as follows:(1) Establish a clinical technical system for ctDNA dynamic monitoring of MRD in postoperative EOC patients, providing a new technical means for postoperative recurrence prevention and monitoring of EOC patients.(2) Establish a clinical technical system for adjuvant treatment of postoperative recurrence prevention for EOC patients with conventional protocols combined with personalized vaccines, so as to provide a new treatment method for postoperative recurrence prevention for EOC patients, with a view to obtaining a better survival prognosis.(3) To establish and improve the prediction process of Neoantigen for ovarian cancer and the in vitro evaluation system of the effectiveness of neoantigen vaccine, achieve independent innovation of tumor neoantigen vaccine treatment technology, and cultivate a group of technical forces to master the development of modern tumor vaccine drugs.(4) The new technology system has been promoted and applied in 5 hospitals in the province.
To evaluate if CT features at diagnosis in patients with HGSOC can be used to build an Artificial Intelligence model capable of discerning the pathological involvement of the mesentery, assessing the potential impediments for an optimal debulking surgery and predicting the development of resistance to platinum based chemotherapeutic agents.
Study D0817R00081 is a retrospective study using NCID database to assess the safety of Olaparib in Chinese patients with ovarian cancer by examining the incidence, seriousness, and severity of all AEs, including but not limiting to AESIs and SAEs, AEs related to Olaparib, and AEs leading to dose reduction, interruption or discontinuation of Olaparib. The first Olaparib prescription date will be set as the index date. The baseline period is from the patient's first ovarian cancer diagnosis recorded in the database to the patient's first treatment with Olaparib (as early as the database start date of January 1, 2013) to the index date for derivation of lines of therapy or one year pre-index date for other baseline variables. Patients will be followed until the patient's last medical record in the database, 30 days after the last dose of Olaparib, death, or June 30, 2023, whichever comes first. All patients who meet the inclusion/exclusion criteria will be enrolled.
The biological spatial and temporal heterogeneity of High Grade Serous Ovarian Carcinoma (HGSOC) severely impacts the effectiveness of therapies and is a determinant of poor outcomes. Current histological evaluation is made on a single tumour sample from a single disease site per patient thus ignoring molecular heterogeneity at the whole-tumour level, key for understanding and overcoming chemotherapy resistance. Imaging can play a crucial role in the development of personalised treatments by fully capturing the disease's heterogeneity. Radiomics quantify the image information by capturing complex patterns related to the tissue microstructure. This information can be complemented with clinical data, liquid biopsies, histological markers and genomics ("radiogenomics") potentially leading to a better prediction of treatment response and outcome. However, the extracted quantitative features usually represent the entire tumour, ignoring the spatial context. On the other hand, radiomics-derived imaging habitats characterize morphologically distinct tumour areas and are more appropriate for monitoring the changes in the tumour microenvironment over the course of therapy. In order to successfully incorporate the habitat-imaging approach to the clinic, histological and biological validation are crucial. However, histological validation of imaging is not a trivial task, due to issues such as unmatched spatial resolution, tissue deformations, lack of landmarks and imprecise cutting. Patient-specific three-dimensional (3D) moulds are an innovative tool for accurate co-registration between imaging and histology. The aim of this study is to optimize and integrate such an automated computational 3D-mould co-registration approach in the clinical work-flow in patients with HGSOC. The validated radiomics-based tumour habitats will also be used to guide tissue sampling to decipher their underlying biology using genomics analysis and explore novel prediction markers.
The present study aims to collect early bright field image of patient-derived organoids with ovarian cancer. By leveraging artificial intelligence, this study will seek to construct and refine algorithms that able to predict growth of ovarian cancer organoids.
The purpose of this study is to find out how many participants are interested in a surgical preventive procedure after watching an educational video. Before and after watching the video, participants will complete questionnaires in the clinic.