View clinical trials related to Ovarian Cancer.
Filter by: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.
Background: The study aims to address the challenge of accurately identifying patients with ovarian cancer who would benefit from poly-ADP ribose inhibitors (PARPi) as first-line maintenance therapy. While BRCA1/2-mutated epithelial ovarian cancer (EOC) patients have shown significant benefits from PARPi treatment, the efficacy in homologous recombination deficient (HRD) patients remains inconclusive. Current assays used to estimate HR status do not effectively differentiate between patients who benefit most from PARPi and those who do not, making it inefficient to treat all patients. There is a need for a more accurate HR status testing method to optimize PARPi benefit. This study aims to assess the performance of the VHIO-CARD-300 test in determining HR status compared to SOPHiA DDM™ Dx HRD Solution. Summary: The study is a prospective, non-randomized trial designed to evaluate the concordance of the VHIO-CARD-300 test in establishing HR status compared to SOPHiA DDM™ Dx HRD Solution. Additionally, it aims to assess the association between HRD status determined by the VHIO-CARD-300 test and treatment efficacy. Patients with advanced FIGO stage III-IV high grade serous or endometrioid ovarian, fallopian tube, or peritoneal cancer will be invited to participate. Those eligible will undergo testing with both VHIO-CARD-300 and SOPHiA DDM™ Dx HRD Solution. Patients classified as HRD positive will receive olaparib in combination with bevacizumab, while others will receive bevacizumab alone. Treatment will be administered according to approved doses, with follow-up evaluations conducted until RECIST progression.
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.
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 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.
Solid tumors pose significant challenges in current therapeutic approaches. Targeted therapy has emerged as a promising avenue, aiming to enhance treatment efficacy while minimizing adverse effects. This clinical trial focuses on an innovative combination of two targeted inhibitors, Palbociclib and Bevacizumab, for their potential synergistic effects in addressing these challenging malignancies. Moreover, this study incorporates a molecular approach by considering Long Non-Coding RNAs (LncRNAs) as biomarkers. Initiating with a focus on colorectal cancer, the study aims to expand its scope to other solid tumors, including lung, breast, ovarian and other cancers. Palbociclib, a cyclin-dependent kinase 4/6 (CDK4/6) inhibitor, disrupts the cell cycle progression, particularly in cancer cells with specific molecular characteristics. Bevacizumab, a vascular endothelial growth factor (VEGF) inhibitor, targets angiogenesis-a critical process for tumor growth and metastasis. The rationale behind combining these agents lies in their complementary mechanisms of action, potentially leading to enhanced antitumor effects. LncRNAs have shown promise in predicting treatment response and prognosis in various cancers, providing an additional layer of precision to the treatment strategy. By elucidating the molecular basis through LncRNA analysis, the trial aims to tailor the treatment to the specific molecular profile of each patient, ultimately striving for better outcomes and improved survival rates. This novel combination therapy, coupled with a personalized biomarker-driven approach, represents a cutting-edge strategy in the pursuit of more effective and individualized treatment for solid tumors.
This is a first-in-human, open-label, multi-center, Phase 1, dose-escalation study with expansion cohorts to evaluate NM32-2668 for safety and immunogenicity, to determine the maximal tolerated dose and recommended Phase 2 dose, define the pharmacokinetics, to explore the pharmacodynamics, and to obtain preliminary evidence of the clinical activity in adult patients with selected advanced solid tumors.
Complete macroscopic surgical resection (CMR) requires extensive surgery and combined with chemotherapy confers best chance of survival in advanced ovarian cancer. During cytoreductive surgery 11% of women require a temporary diverting intestinal stoma. Unexpectedly, our results from a unique fully accounted for population demonstrate that survival was not improved when increasing the proportion of women in whom CMR was achieved and in a yet unidentified subgroup of women extensive surgery was detrimental. In these women surgical treatment should be omitted in favor of chemotherapy only. Accordingly, there is an imperative need to improve patient selection to surgical treatment. In Sweden, we treat an unselected population of women in a public healthcare system, where 30% of women with are >75 years. Despite these circumstances guidelines on patient-selection are lacking. Age is an imprecise variable to base clinical decisions on but must be considered with an aging population. The dynamics between physiological changes of aging, comorbidity and medical condition are included in the concept of frailty, that has gained little attention in oncology, despite their potential to stratify risk and mortality. The FOLERO study is a prospective adequately powered national cohort study with aim to determine if frailty instruments may be used to select patient to surgical treatment. In addition, we test the feasibility of early stoma reversal after index cytoreductive surgery in a small phase I trial and follow our patients Health Related Quality of Life after state of the art surgical treatment.
The objective of this study is to evaluate the safety, tolerability, and efficacy of BL-M07D1 in patients with HER2 expressing advanced tumors.