View clinical trials related to Carcinoma, Ovarian Epithelial.
Filter by:This is a single participant study of erdafitinib for the treatment of a patient with metastatic steroid-cell tumor of the ovary.
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 goal of this research study is to evaluate the safety and effectiveness of the use of cytokine-induced memory-like (CIML) natural killer (NK) cell therapy combined with IL-15 superagonist (N-803) in recurrent, high grade ovarian cancer (HGOC). Names of the study therapies involved in this study are: - CIML NK (cellular therapy) - N-803 (a novel immune-cell stimulator)
Ovarian cancer (OC) has one of the highest mortality rates for female malignant tumors, attributed to advanced cancer stages upon diagnosis as well as a high recurrence rate. Piwi-interacting RNA-823 (piR-823) is a single-stranded non-protein coding RNA (ncRNA) star molecule in epigenetics research. Extensive cellular regulatory functions and aberrant expression of piR-823 have been implicated in carcinogenesis. Therefore, the findings of piwi-ncRNA dysregulated-expression in OC Egyptian female patients' cohort could be employed as a potential novel mechanism for OC precision, a step toward ncRNA-precision
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 assess the safety, tolerability, and efficacy of CBX-12 in female subjects with platinum resistant or refractory ovarian cancer at 2 doses; 125 mg/m2 every 21 days or 100 mg/m2 every 21 days.
This project proposes to elucidate the functional impact of T cells in cancer progression and treatment through a comprehensive TCR profiling study and a longitudinal cohort study in patients with advanced epithelial ovarian cancer. Our findings aim to provide clinical insights for monitoring treatment response in a non-invasive way and demonstrate the association of TCR diversity with clinical outcomes and the potential role of TCR profiling in cancer prognosis.
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.
This study is a multicenter, open-label Phase Ib/II clinical trial to observe and evaluate the safety, tolerability and pharmacokinetics of HRS-1167 in combination with bevacizumab in patients with recurrent ovarian cancer mechanical characterization and preliminary evaluation of the efficacy of HRS-1167 in combination with bevacizumab in patients with recurrent ovarian cancer.