Generously Funded by the Liedtke MetaLab Research Fund
Amit Singnurkar – Sunnybrook Health Sciences Center
Project Title: “Mapping of Essential Amino Acid Metabolism for the Detection of Glioblastoma Multiforme Spread in Post-Surgical Patients”
Description of Project:
Glioblastoma (GB) is the most common primary brain malignancy in adults and carries poor prognosis. Despite recent advances in medical imaging and therapy, median survival remains approximately 14 months.
A major barrier to the effectiveness of current therapies is the inability to detect the full extent of disease. While the bulk of the tumour can be identified on magnetic resonance imaging (MRI), GB has a diffuse growth pattern and is prone to microscopic spread to distant parts of the brain.
In this study, we will use positron emission tomography (PET) to image amino acid receptors that are known to be expressed by GB tumour tissue. Using artificial intelligence techniques, will develop a methodology to detect occult diseases on current imaging techniques using high performance computing methods to map the total extent of tumour tissue.
With this information, we hope to provide better information to treating physicians when planning radiation treatment so that there is comprehensive treatment coverage of the tumour, with better sparing of unaffected brain tissue, which we predict will lead to better survival and quality of life for patients.
This work will also support future development and evaluation of targeted therapies for glioblastoma using high energy medical isotopes.
What receiving this award means:
This award will support our work in building a comprehensive research and therapeutics capability for glioblastoma patients by adding nuclear oncology and molecular imaging with positron emission tomography to the already impressive portfolio of research and innovation at Sunnybrook.