View clinical trials related to Glioma.
Filter by:Prospective, multicenter, noninterventional, nonprofit study of a cohort of patients with glioma, aimed at validating miRNA-serum signatures associated with IDH1 status and prognosis, as reliable, specific and sensitive circulating diagnostic biomarkers also useful for improve prognostic stratification of patients. The study will be conducted on serum samples at diagnosis, at 4-6 days postoperatively and/or at the first post-surgery follow-up, in a new cohort of glioma patients and representative of different IDH1 mutational statuses. Furthermore, because comparison of miRNA expression profiles in serum and tissue may provide further evidence to support the use of serum miRNAs as reliable biomarkers reliable, their expression will also be analyzed, where possible, in tissue biopsies from the same patient and compared with the expression profiles of serum miRNAs.
Glioma are type of primary brain tumors arising within the substance of brain. Different type of gliomas are seen which are classified depending upon pathological examination and advanced molecular techniques, which help to determine the aggressiveness of the tumor and outcomes. Artificial intelligence uses advanced analytical process aided by computer which can be undertaken on the medical images. We plan to use artificial intelligence techniques to identify the abnormal areas within the brain representing tumor from the radiological images. Also, similar approach will be undertaken to classify gliomas with good or bad prognosis, to differentiate glioma from other type of brain tumors, and to detect response after treatment.
The goal of this clinical trail is to non-invasively visualise and quantitatively validate an radiomics model of genetic heterogeneity in adult patients with diffuse glioma to help clinicians better guide surgical resection and treatment options. It aims to answer are: 1. To overcome the limitations of the existing genetic diagnostic process in terms of equipment and technology requirements, high costs and long timelines, and to enable quantitative studies of isocitrate dehydrogenase 1 (IDH1) mutations, thus allowing refined patient stratification and further exploration of the role of molecular markers in improving patient prognosis. 2. To achieve non-invasive diagnosis of gene mutations within tumours by taking advantage of artificial intelligence and medical images, and to test the clinical feasibility of the model through typical target puncture, gene sequencing and quantitative gene expression analysis. Participants will read an informed consent agreement before surgery and voluntarily decide whether or not to join the experimental group. They will undergo preoperative magnetic resonance imaging, intraoperative brain puncture of typical tumour sites, and postoperative genotype identification. Their imaging data, genotype data, clinical history data, and pathology data will be used for the experimental study.
The aim of this observational study is to enable rapid diagnosis of molecular biomarkers in patients during surgery by medical imaging and artificial intelligence models, to help clinicians with strategies to maximize safe resection of gliomas. The main questions it aims to answer are: 1. To solve the current clinical shortcomings of intraoperative molecular diagnosis, which is time-consuming and complex, and enables rapid and automated molecular diagnosis of glioma, thus providing the possibility of personalized tumor resection plans. 2. To implement a neuro-navigation platform that combines preoperative magnetic resonance images, intraoperative ultrasound signals and intraoperative ultrasound images to address real-time molecular boundary visualisation and molecular diagnosis for glioma, providing an approach to improve glioma treatment. Participants will read an informed consent agreement before surgery and voluntarily decide whether or not to join the experimental group. they will undergo preoperative magnetic resonance imaging, intraoperative ultrasound, and postoperative genotype identification. Their imaging data, genotype data, clinical history data, and pathology data will be used for the experimental study. The data collection process will not interrupt the normal surgical process.
This randomized phase II trial studies how well lose dose bevacizumab with Hypofractionated Stereotactic Radiotherapy (HSRT) works versus bevacizumab alone in treating patients with glioblastoma at first recurrence. The primary endpoint is 6-month progress-free survivaloverall survival after the treatment. Secondary endpoints included overall survival, objective response rate, cognitive function, quality of life and toxicity.
The aim of this clinical trial is to evaluate the feasibility of undertaking a Phase 0 surgical study in patients with diagnosis of a IDH1 mutated Low Grade Glioma (LGG) who have not received prior radiation or chemotherapy and are planned to undergo surgical resection.
A Phase 1 Multi-center clinical Trial Evaluating the Safety and Tolerability of 5-aminolevulinic Acid (5-ALA) Combined With CV01 Delivery of Ultrasound for Sonodynamic Therapy (SDT) in Patients With recurrent High Grade Glioma (HGG).
This is an open-label, monotherapy study of pemigatinib in participants with recurrent glioblastoma (GBM) or other recurrent gliomas, circumscribed astrocytic gliomas, and glioneuronal and neuronal tumors with an activating FGFR1-3 mutation or fusion/rearrangement. This study consists of 2 cohorts, Cohorts A, and B, and will enroll approximately 82 participants into each cohort. Participants will receive pemigatinib 13.5 mg QD on a 2-week on-therapy and 1-week off-therapy schedule as long as they are receiving benefit and have not met any criteria for study withdrawal.
PROGLIO is a French mono-centric study with longitudinal follow-up, in which patients with high grade brain tumors will be included. Blood samples will be taken during their therapeutic follow-up to evaluate plasma concentrations of hPG80 (circulating progastrin).
This phase I trial investigates the efficacy and safety of brain-targeting epidermal growth factor receptor chimeric antigen receptor immune cells (EGFRvIII-CAR T cells) in treating patients with leptomeningeal disease from glioblastoma. T cells are part of the immune system and help the body fight malignant tumours. Immune cells can be genetically modified to destroy brain tumor cells in the laboratory. EGFRvIII -CAR T cells are brain tumor specific and can enter and express its genes in immune cells. Administering patients EGFRvIII -CAR T cells may help to recognize and destroy brain tumor cells in patients with leptomeningeal disease from glioblastoma.