With more than 3,000 new cases per year in France, malignant gliomas are the most common malignant brain tumors in adults. Treatment consists of surgical removal when possible. If this is not possible, a biopsy is performed to obtain a definitive anatomical and molecular diagnosis. Standard medical management after removal or biopsy is based on radio-chemotherapy. Despite this multimodal treatment, progression is the norm due to the invasive nature of these tumors. The prognosis remains very poor, with a median overall survival of around 18 months for glioblastomas. Recent preliminary data indicate that magnetoencephalography (MEG) recordings can identify functional heterogeneity within a glioma. Functional analysis of these two types of areas has shown that the expression of synaptogenic factors is increased in areas of high functional connectivity compared to areas of low functional connectivity. Areas of high functional connectivity are more aggressive and more resistant to treatment. In general, gliomas are characterized by a high degree of inter- and intra-tumoral heterogeneity. The latter has been well characterized at the transcriptomic level, and several distinct cell subpopulations have been described (classical, mesenchymal, proneural) This intra-tumoral heterogeneity is one of the factors contributing to resistance to current therapies, but it remains incompletely understood and explored. MEG is a tool capable of exploring intra- and inter-tumor heterogeneity from an electrophysiological perspective. This represents an original approach that will provide a better understanding of intra-tumor heterogeneity and lead to new therapeutic perspectives.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
60
Eligible patients will undergo a complete Magnetoencephalography, of approximatively 45min
Hospices Civils de Lyon
Bron, France
Assess the technical feasibility of studying tumor electrophysiological heterogeneity using magnetoencephalography (MEG) in a series of patients with glioma at the initial stage of treatment.
Percentage of patients with a complete and usable magnetoencephalography (MEG) recording, allowing intra- and peri-tumoral electrophysiological data to be collected and resting functional connectivity to be studied for all areas of the brain.
Time frame: At baseline and during the 10 days prior to the date of surgery, according to the standard of care.
Define the radiological characteristics of the different types of areas of interest identified by MEG by comparing MEG mapping and preoperative MRI (anatomical and functional).
Radiological patterns of areas identified by MEG, based on preoperative brain Magnetic resonance imaging (MRI) (morphological and functional)
Time frame: At baseline and during the 10 days prior to the date of surgery, according to the standard of care.
Define the prognostic impact of ablation of areas with different electrophysiological properties, using an analysis that integrates MEG mapping data, post-operative MRI data, and survival data.
Survival of patients with residual High Frequency Channel/ Low Frequency Channel (HFC/LFC) areas on postoperative MRI and survival of patients without such areas.
Time frame: At baseline and during the 10 days prior to the date of surgery, according to the standard of care.
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