Diffuse low-grade gliomas (DLGG) (or WHO grade II gliomas) are rare tumors, with an incidence estimated at 1/105 person-year. DLGG are characterized by a continuous growth and an unavoidable anaplastic transformation. DLGG malignant progression is classically characterized by a continuum, from grade II to grade III or IV tumors. To date, the histomolecular diagnosis of lower grade gliomas (that is, grade II and III gliomas) is achieved on tumor samples obtained from surgical resection or biopsy. Indeed, whereas brain MRI is often suggestive of DLGG, there is a need for a histological confirmation of diagnosis prior to any medical treatment. Moreover, MRI features to not always accurately predict the tumor grade, with grade II tumor presenting with contrast enhancement or non-enhancing authentic grade III tumors. In this setting, the value of liquid biopsy (in blood or cerebrospinal fluid CSF) as a non-invasive, disease-associated biomarker has gained interest in the past decade, either at tumor diagnosis or to monitor tumor evolution in order to guide patient management and to detect changes of molecular features over time. While extracranial metastasis of glioma rarely occurs, recent reports suggest the possible presence of circulating tumor cells (CTCs) in blood of high-grade glioma patients. Beside CTCs, other circulating biomarkers have been recently investigated in glioma, including circulating tumor DNA, microRNA or tumor-educated platelet (TEP) RNA. Some of these techniques allow genome-wide characterization of RNA/DNA contents. However, these studies are all small exploratory studies that have mainly included glioblastoma (grade IV glioma) patients rather than lower-grade gliomas, or glioma patients with no precision on tumor grade. Moreover, some of these studies analyzed samples performed after the patient received a medical oncological treatment (chemotherapy or radiation therapy). They advocate for the search of a circulating signature that would not be restricted to biomarkers directly derived from the tumor but include markers induced at a distance by the tumor. Indeed, slow-growing DLGG are likely to induce a systemic reaction to allow, for many years, an immuno-tolerance of the tumor. This reaction could have an impact on peripheral blood cells, including their RNA content. In this study, the investigators aim at conducting an exploratory study in DLGG patients to explore the value of several blood-based biomarkers for the disease diagnosis and/or monitoring.
This study is a prospective, exploratory and bi-centric study. The primary objective is to evaluate the presence of CTCs in a preoperative sample for the 3 following groups : patients with low-grade glioma, patients with high-grade glioma and patients undergoing neurosurgery for a non-tumor disease. Visits in this study are as follows : Inclusion Visit (V0) : 2 days (+/- 2 days) before brain surgery Postoperative visits : * Visit 1: 2 days (+/- 2 days) following brain surgery * Visit 2: 3 months (+/- 1 month) following brain surgery
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
50
In total, about 20 ml of blood will be collected on EDTA tubes : collection of CTCs, TEPs and biobanking (V0, V1 and V2)
University Hospital, Montpellier
Montpellier, France
RECRUITINGProportion of patients with CTCs (>0) in a preoperative sample for the 3 following groups (patients with low-grade glioma, patients with high-grade glioma and patients undergoing neurosurgery for a non-tumor disease)
Time frame: 14 months
Number and characteristics of CTCs (in patients with CTCs) in a preoperative sample for the 3 groups of patients
Time frame: Baseline
Platelets RNA profile in a preoperative sample for the 3 groups
Time frame: Baseline
Number, characteristics of CTCs (in patients with CTCs) and platelets profile in a postoperative sample for the 3 groups
Time frame: 2 days following brain surgery
Number, characteristics of CTCs (in patients with CTCs) and platelets profile in a postoperative sample for the 3 groups
Time frame: 3 months following brain surgery
FLAIR tumor volume
calculated by manual segmentation of the tumor borders on preoperative T2/FLAIR weighted MRI
Time frame: Baseline
Spontaneous growth speed
calculated as the evolution in mm/year of the mean tumor diameter derived from tumor volume (mm/year)
Time frame: Baseline
Contrast enhancement
defined on post Gadolinium pre-operative MRI (presence or absence)
Time frame: Baseline
Tumor location
Time frame: Baseline
ECOG performance status
Time frame: Baseline + 3 months following brain surgery
Tumor-associated symptoms
Time frame: Baseline + 3 months following brain surgery
Time interval since the first symptoms and the first MRI
Time frame: Baseline
Associated drugs (antiepileptic drugs, corticosteroids)
Time frame: Baseline + 3 months following brain surgery
Previous treatments for the tumor
Time frame: Baseline + 3 months following brain surgery
WHO classification
Time frame: 3 months following brain surgery
IDH status
Time frame: 3 months following brain surgery
1p19q status
Time frame: 3 months following brain surgery
ATRX status
Time frame: 3 months following brain surgery
Proliferation index (Ki67)
Time frame: 3 months following brain surgery
Presence of foci of malignant transformation
Time frame: 3 months following brain surgery
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