View clinical trials related to Glioblastoma.
Filter by:The objectives of this registry study are to evaluate real-world clinical outcomes and patient reported outcomes that measure the effectiveness and safety of STaRT.
This early phase I trial will investigate the safety and feasibility of applying the Tumor Electric Fields Treatment System to subjects with recurrent glioblastoma.
This trial is an open-label, multicenter, Phase 0/2 trial that will enroll up to 50 participants with recurrent glioblastoma which are schedule for resection. In the lead-in cohort, a total of 10 participants will be enrolled into the proposed phase 0 clinical trial. Participants will be administered LY3214996 plus Abemaciclib prior to surgical resection of their tumor. If positive PK results are demonstrated in ≥50% of Phase 0 participants and at least 5 participants are enrolled into Phase 2, up to approximately 40 additional participants will be enrolled in the dose expansion cohort in order to achieve a total of 25 participants enrolled into Phase 2 (lead-in cohort + dose expansion).
The phase II study evaluate a light dose escalation in a classical intraoperative PDT regimen mediated by 5-ALA-PpIX, in glioblastoma patients with access to full surgical removal of the contrast enhancement. This treatment will be performed in addition to the current reference treatment of glioblastoma: maximum removal surgery followed by radiochemotherapy according to the Stupp protocol.
A multi-center, open-label, single-arm, phase I/II clinical study is designed to test the safety and immunogenicity of an investigational Dendritic and Glioma Cells Fusion vaccine given with IL-12 for treatment-naïve patients after resection of glioblastoma.
This is a pilot phase I study to evaluate the safety and efficacy on B7-H3 CAR-T in between Temozolomide cycles in treating patients with glioblastoma that has come back or does not respond to the standard treatment. The antigen B7-H3 is highly expressed in glioblastoma of a subset of patients. B7-H3 CAR-T, made from isolated patient peripheral blood mononuclear cells, can specifically attack patient glioblastoma cells that expressing B7-H3.
Glioblastoma is the most aggressive kind of brain cancer and leads on average to 20 years of life lost, more than any other cancer. MRI images of the brain are taken before the operation, and every few months after treatment, to see if the cancer regrows. It can be hard for doctors to tell if what they see in these images represent growing cancer or a sideeffect of treatment. The similarity of the appearance of the treatment side-effects to cancer is confusing and is known as "pseudoprogression" (as opposed to true cancer progression). If doctors mistake the appearance of treatment side-effects for growing cancer, they may think that the treatment is failing and change the patient's treatment too early or put them into a clinical trial. This means that patients may not be given the full treatment and the results from some clinical trials cannot be trusted. The aim of this study is to provide doctors with a computer program that will use MRI images of the brain that are routinely obtained throughout treatment, in order to help them more accurately identify when the cancer regrows.
This phase I trial studies the side effects of nivolumab before and after surgery in treating children and young adults with high grade glioma that has come back (recurrent) or is increasing in scope or severity (progressive). Immunotherapy with monoclonal antibodies, such as nivolumab, may help the body's immune system attack the cancer, and may interfere with the ability of tumor cells to grow and spread.
This is a phase 1 investigational study to assess the safety and preliminary efficacy of oral gallium maltolate (GaM) in participants with relapsed glioblastoma (GBM).
The purpose of this pilot study will be to conduct a clinical trial using a time-of-flight PET scanner and MRI scanner to test an improved method for differentiating tumor recurrence from radiation necrosis in glioblastoma patients. We will attempt to do so by performing a static and dynamic FDG-PET scan, a static and dynamic FDOPA-PET scan, and a multiparametric MRI scan - then comparing the results with surgical pathology and static FDG-PET scans. We hypothesize that the new quantitative kinetic analytical methods using FDOPA in combination with FDG will provide crucial functional information to distinguish recurrent tumors from treatment-induced radiation changes in patients with treated brain neoplasms. This is important for improving patient outcomes by allowing treating physicians to more accurately tailor treatments. Furthermore, dynamic FDG and FDOPA PET will be combined with high resolution anatomic and physiologic MRI in order to develop a multimodal multiparametric approach for differentiating tumor recurrence from treatment effect.