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Project title:
Combining Advanced Metabolic MRI with Genomics to Refine the Treatment Paradigm for Grade 2/3 IDH-wildtype Astrocytoma ("Molecular Glioblastoma")
Principal investigator(s):
Stanisz, Greg J; Dinakaran, Deepak; Lim-Fat, Mary Jane; Sahgal, Arjun
Co-investigator(s):
Das, Sunit; Detsky, Jay S; Huang, Weei-Yuarn; Jabehdar Maralani, Pejman; Keith, Julia; Lipsman, Nir; Sussman, Dafna
Supervisors:
N/A
Institution paid:
Sunnybrook Health Sciences Centre (Toronto, Ontario)
Research institution:
Sunnybrook Health Sciences Centre (Toronto, Ontario)
Department:
N/A
Program:
Project Grant
Competition (year/month):
202403
Assigned peer review committee:
Medical Physics & Imaging
Primary institute:
Cancer Research
Primary theme:
Biomedical
Term (yrs/mths):
5 yrs 0 mth
CIHR contribution:
Contributors:
Amount:
$787,950
Equipment:
$0
External funding partner(s):
Partner Name:
N/A
Amount:
N/A
Equipment:
N/A
External applicant partner(s):
Partner Name:
N/A
Amount:
N/A
Equipment:
N/A
External in-kind partner(s):
Partner Name:
N/A
Amount:
N/A
Equipment:
N/A
Keywords:
Astrocytomas; Brain Tumour; Cest; Gbm; Gd-Enhancement Mri; Gliomas; Magnetization Transfer; Molecular Gioblastoma; Mri; Screening
Abstract/Summary:
Gliomas are brain tumours mainly affecting young adults. They are currently classified and treated based on several markers such as tumour grade that categorizes tumours based on how abnormal the cells and tissue are and several molecular markers. Typically, low grade gliomas (LLG) have a better outcome and less aggressive treatment than high grade gliomas (HGG). There is a subclass of LLG called "molecular glioblastomas" which resemble, due to their molecular biomarkers HGG. It remains unclear - should they be treated as low or high grade? Determining better prognostic markers to personalize the therapeutic approach for these types of brain tumours is needed. We will study whether Magnetic Resonance Imaging (MRI) with molecular markers improve molecular glioblastoma diagnosis. We will use MRI for microstructural and metabolic evaluation of tumour and molecular markers to further assess tumour type. We will: 1. Compare imaging and genetic characteristics of molecular glioblastoma to GBM and also less invasive gliomas, to distinguish further glioma subtypes. 2. Monitor the molecular glioblastoma response of therapy with MRI to define the best biomarker of response. 60 molecular glioblastoma patients will undergo MRI scans three times (before, at two weeks post radiation treatment and two weeks after chemo therapy). These tumours will be compared to two control groups: 60 patients with less invasive gliomas (which have special gene mutation) and 60 patients with GBM. We will use novel MRI techniques developed by our group that are more specific than standard, clinical imaging protocols and state-of-the-art genotyping. This project will provide a more precise stratification of molecular glioblastoma by developing non-contrast-based MRI to develop more precise treatment strategies leading to improved patient management and outcomes.
Version:
20250311.1