Registering Genomics and Imaging of Tumors (ReGIT)
GliomaThis study is investigating how brain tumors might mutate over time, and whether new brain imaging tools like MRI and PET can predict these mutations.
An Integrated Radio-immunological Approach
GliomaMalignantThe most aggressive primary brain tumors in adults, glioblastomas, are characterized by a profound local and systemic immune suppression. During tumor progression, the infiltration of inflammatory leukocytes, especially of myeloid origin, endowed with immunosuppressive function is observed. Aim of this study is to evaluate myeloid cell infiltrate and iron metabolism in tumor-associated macrophages by combining a multimodal MRI imaging technique with immunophenotyping of the tumor microenvironment.
hPG80 (Circulating Progastrin) as a Blood Biomarker for High-grade Glial Tumors
Glial Cell TumorsPROGLIO 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).
MR Based Survival Prediction of Glioma Patients Using Artificial Intelligence
GliomaThis registry aims to collect clinical, molecular and radiologic data including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, MGMT methylation, IDH and TERTp mutations, etc) and conventional/advanced/new MR sequences (T1, T1c, T2, FLAIR, ADC, DTI, PWI, etc) of patients with primary gliomas. By leveraging artificial intelligence, this registry will seek to construct and refine algorithms that able to predict patients' survivals in the frame of molecular pathology or subgroups of gliomas.
Histopathology Images Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence...
GliomaThis registry aims to collect clinical, molecular and radiologic data including detailed clinical parameters, molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and images of HE slices in primary gliomas. By leveraging artificial intelligence, this registry will seek to construct and refine histopathology image based algorithms that are able to predict molecular pathology or subgroups of gliomas.
18F-DOPA-PET in Planning Surgery in Patients With Gliomas
Malignant GliomaRecurrent Brain NeoplasmThis pilot clinical trial studies fluorine F 18 fluorodopa (18F-DOPA)-positron emission tomography (PET) in planning surgery in patients with gliomas. New imaging procedures, such as 18F-DOPA-PET scan, may help find gliomas and may help in planning surgery.
Spectroscopic Magnetic Resonance Imaging of Glioma
Brain Tumor-GliomaThe study is designed to develop and test new Magnetic Resonance Imaging methods that can improve the characterization of brain cancer and facilitate improved clinical care of these participants.
Post-operative Imaging in High Grade Glioma: is Management Influenced?
GliomaMagnetic resonance imaging (MRI) is likely to play an important role in the management of high grade glioma. Appropriate and timely neuroimaging in the follow up period is believed to be crucial in making subsequent management decisions. However, there is a paucity in the literature providing evidence to support this. The aim of this study is to determine whether neuroimaging performed at each component of the patient pathway after initial high grade glioma treatment, actually results in a real change in management (as opposed to a perceived change in management). The main emphasis is on all imaging used at the time of a MDM, however, we will also study specifically dynamic susceptibility contrast-enhanced (DSC) MRI and dynamic contrast enhanced (DCE) MRI. The study is in the format of Mock MDMs to be compatible with real life decision making. Using retrospective identical information available at the MDM i.e. compiled recent correspondence, histopathological and molecular information, the MDM members (oncology nurse, oncologist, neurosurgeon, neuroradiologist, pathologist/molecular scientist) will prospectively determine the patient management with and without the imaging.
Histomolecular Profiles of Gliomas in Children and Adolescent/Young Adults
HistologicalMolecular Sequence Variation1 moreIn the last decades, many advances have been made in the field of genetic abnormalities of glial and glioneuronal brain tumors. In the 2016 World Health organization (WHO) Classification of Tumors of the Central Nervous System, the concept of "integrated" diagnosis emerged: histological and genetic/molecular features now define many entities. Since 2016, six updates have been published by the c-IMPACT-NOW (the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy- Not Official WHO) to develop and clarify the "integrated" diagnosis. In the future WHO 2021 Classification of Tumors of the Central Nervous System, "integrated" diagnoses will take up even more importance. Even if they can have similar histological features, gliomas of children are very different from the "adult" gliomas in the molecular mechanism of oncogenesis. The histomolecular features of adolescents/young adults (AYAs) can have similarities with "pediatric-type" or "adult-type" gliomas, but few studies have focused specifically on the histomolecular profiles of gliomas in AYAs. The investigators would like to study the cohort of patients treated for a glial and glioneuronal tumor diagnosed under the age of 25 in the Amiens University Hospital between 2008 and 2020. The investigators would like to compare the histomolecular profiles of gliomas in children (0-14 years) and AYAs (15-25 years).
Effect of Cytokine-induced Killer Cells for Stage I-II Malignant Gliomas
Cytokine-Induced Killer CellsMilignant GliomasThe purpose of this study is to determine whether combining of Temozolomide and cytokine-induced killer cells (CIK) transfusion can prolong survival of patients with Malignant Gliomas. The effectiveness and safety of CIK cells for the treatment of Malignant Glioma is also evaluated.