View clinical trials related to Ovarian Cancer.
Filter by:The purpose of this study is to evaluate the safety, tolerability, dosimetry and preliminary efficacy of [177Lu]Lu-EVS459 and the safety and imaging properties of [68Ga]Ga-EVS459 in patients aged ≥ 18 years with advanced high-grade serous ovarian cancer (OC) or locally advanced unresectable or metastatic non-squamous non-small cell lung carcinoma (non-sq. NSCLC).
Safety and Immunogenicity of InnocellTM Autologous Cellular Immunotherapy Administered in Patients with Recurrent Epithelial Ovarian Cancer
The aim of this observational study is to comprehensively analyze the metabolites in plasma samples from multi-cancer patients using advanced mass spectrometry detection technology, in conjunction with metabolomics approaches. The goal is to construct a plasma metabolite database for multi-cancer patients. Simultaneously, we will delve into the exploration and validation of a series of metabolic biomarkers for early multi-cancer diagnosis. The objective is to establish a safer, more convenient, and more sensitive early screening method, thereby providing a reliable scientific foundation and critical evidence for improving the early diagnostic process for individuals at high risk of multi-cancer.
This is a single center Phase I clinical trial of FT536 administered intraperitoneally (IP) 3 times a week for one week for the treatment of recurrent gynecologic cancers. A short course of outpatient lymphodepleting chemotherapy is given prior to the first dose of FT536 to promote adoptive transfer.
The correct differential diagnosis between benign and malignant adnexal masses is the main goal of preoperative ultrasound diagnostics and is very important to plan the correct treatment for the patient in terms of surgical team (gynecologist oncologist or benign pathology center), surgical access (laparoscopy / laparotomy) and type of surgery (conservative / demolitive). Several ultrasound models have been developed to help gynecologists define the risk of malignancy of adnexal masses. In order to use the predictive models, the examiner had to collect certain ultrasound features of the lesion which, integrated with the patient's clinical and / or biochemical characteristics, provided a risk of malignancy of the mass. Recently radiomics is emerging as an interesting tool to be applied to diagnostic imaging (computed tomography, magnetic resonance and even ultrasound). Radiomics is the evaluation of images through complex software that allows to 'read' the intrinsic characteristics of the tissue identifying aspects that are not visible by subjective interpretation of the operator, in a fully automated and therefore reproducible way. Radiomics applied to artificial intelligence for the creation of predictive models represents an interesting tool to overcome the limitations of previous models, at least partly dependent on the operator's experience. Among the serous ovarian cancer, those with BRCA gene mutation represent an interesting subgroup and are characterized by a different pathophysiological history than wild type tumors due to greater chemosensitivity and the possibility of targeted treatment with antiangiogenic drugs and PARP-inhibitors. The application of radiomics to preoperative ultrasound images could identify BRCA mutated tumors before surgical planning (radiogenomic analysis) and allow a personalized treatment. The aim of the study is to validate a predictive model to define the risk of malignancy of adnexal masses that the investigators developed at the Fondazione IRCCS Istituto Nazionale dei Tumori di Milano. The model, based on the integration of radiomics and artificial intelligence, uses complex software capable of 'reading' the ultrasound images in a completely automatic way and is able to estimate the risk of malignancy of the mass. If the patient decide to participate in the clinical study, the patient will undergo transvaginal ultrasound (eventually supplemented by transabdominal ultrasound in case of large adnexal masses, if the patients are virgo or if the patients will refuse transvaginal approach for any reason). This exam is part of the routine preoperative evaluation for adnexal pathology and therefore the patients don't have to undergo any additional clinical, biochemical or imaging examination, according to national and international guidelines. Thereafter, the images stored during the preoperative ultrasound will be exported in anonymous format from the ultrasound system, and sent to the coordinating center (Fondazione IRCCS Istituto Nazionale dei Tumori di Milano). There, images will be submet to radiomic analysis through the application of a dedicated software; that will allow to evaluate the intrinsic characteristics of the tissue according to different parameters (shape, intensity, grade of heterogeneity and many others) of the 'pixels' (gray dots) that constitute the ultrasound image. This analysis, once validated, will provide clinicians an additional tool to identify malignant adnexal masses prior to surgery. If the final histological diagnosis is of serous epithelial ovarian cancer, through the use of the same radiomics software described above the investigators will try to identify the intrinsic characteristics of the tissue associated with the presence or absence of the BRCA 1 or 2 mutation
The goal of this clinical trial is to determine the effectiveness of the ASk Questions in GYnecologic Oncology question prompt list (ASQ-GYO QPL) at improving patient self-efficacy, distress, physician trust, and knowledge compared to usual care during new patient gynecologic oncology visits. Also to determine the acceptability of the ASQ-GYO QPL with new gynecologic oncology patients.
The goal of this study is to test a new PET imaging agent in patients with solid tumors. This tracer is made of a radioactively-labeled monoclonal antibody MNPR-101, and can show where tumors are present in the body using a PET-scan. The investigators will investigate if the new imaging agent correctly shows all tumor lesions. In the future, this method may be useful to help predict who will benefit from certain therapies. Participants will be injected with the radioactive tracer once. After injection, participants will undergo 3 PET-scans. Each PET-scan will take a maximum of 30 minutes. The PET-scans are on separate days within 10 days after injection of the tracer (e.g., 2 hours after injection plus 3-5 days and 7-10 days after injection). Furthermore, the investigators will take blood samples 6 times (5 mL each). Blood pharmacokinetics (PK) will be measured on Day 1 at 10 min, 1h, 2h, once on Days 3-5, and once on Days 7-10. The amount of radioactivity injected will range between 37-74 MBq (±10%).
The goal of this observational case-control study is to learn about the circulating and tissue microRNA expression, imaging and radiomic profiles of malignant ovarian germ cell tumours (MOGCT) compared to patients with a benign OGCT and no ovarian pathology. The main question[s] it aims to answer are: 1. To understand the circulating miRNA expression of malignant ovarian germ cell tumours (MOGCTs) compared to those with benign ovarian germ cell tumours (BOGCTs) 2. To understand the imaging profile of MOGCTs compared to that of BOGCTs 3. To establish the relationship between serum and plasma miRNA expression in response to treatment and relapse of disease 4. To discover if miRNA expression correlates with radiomic features of OGCTs on both ultrasound and MRI 5. To see if we can link the micro RNAs in tumour samples to those found in blood samples, and to find a plausible explanation for why these micro RNAs are raised (in terms of the tumour biology itself).aims Participants will have serial blood tests at different time points in their care to assess how circulating miRNA levels are affected by treatment and/or remission and/or relapse. If they have surgery, a pathology sample will be taken from the main tumour specimen. Radiomic analysis will take place on existing ultrasound images of their mass. Researchers will compare the circulating miRNA profile of patients with a benign ovarian germ cell tumour and no ovarian pathology to see where the differences lie. If a patient with a BOGCT requires surgery, a pathology sample will be taken from the main tumour specimen. Radiomic analysis will take place on existing ultrasound images of their benign mass.
This is a single participant study of erdafitinib for the treatment of a patient with metastatic steroid-cell tumor of the ovary.
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.