Grant: DRA : Canada Graduate Research Scholarship - Doctoral Program (CGRS D)
Queen's University (Kingston, Ontario)
$120,000.00
Mapping and targeting cellular heterogeneity in Sonic Hedgehog Medulloblastoma
EF 2025-26
Résumé
Medulloblastoma is the most common malignant brain tumor in children. Even with aggressive treatment including surgery, chemotherapy, and radiation, the cancer comes back in a third of patients leading to death, while survivors face lifelong side effects like learning difficulties or secondary cancers. Safer and more effective treatments are urgently needed. A critical barrier to better treatment is cell heterogeneity within the tumors, the presence of many different cell populations that respond differently to treatment. Some of these cells are killed by treatment while others survive and drive relapse. However, we cannot reliably identify or target these resistant cells.
My project tackles this problem with three goals. First, I will map all cell populations in human medulloblastoma tumors, creating the most detailed map of these tumors to date. Second, I will track which of these populations resist therapy and when during treatment they emerge by using a novel reporter system that I developed. This system colors each cell population differently, enabling us to watch resistance emerge in real-time and identify which cells are involved. Third, I will test FDA-approved drugs to find those that selectively kill the resistant cells, validating hits in patient-derived models and checking effects on healthy cells to maximize the translational potential of my work.
By showing which cells drive relapse and identifying drugs to target them, this project moves treatment toward precise, population-specific therapy. Ultimately, it aims to prevent relapse, reduce side effects, and improve outcomes for the 500+ children diagnosed with medulloblastoma each year.
Programme
DRA : Canada Graduate Research Scholarship - Doctoral Program (CGRS D)
Bénéficiaire
Emplacement
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
560300
Name
Hussain Montdher
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
DT1 (Biomedical and/or Clinical Research) CGRS Doctoral
Projecttitle
Mapping and targeting cellular heterogeneity in Sonic Hedgehog Medulloblastoma
Programtype2
Studentship Programs
Orgnameinp2
Queen's University (Kingston, Ontario)
Cihramount2
$120,000
Cihrequipment2
$0
Programname2
DRA : Canada Graduate Research Scholarship - Doctoral Program (CGRS D)
Keyworddelim
Brain Cancer; Cancer Therapeutics; Cancer Treatment Resistance; High-Content Drug Screening; Precision Medicine; Single-Cell Bioinformatic Analysis; Synthetic Biology; Synthetic Reporter System; Tumor Biology; Tumor Heterogeneity
Abstract
Medulloblastoma is the most common malignant brain tumor in children. Even with aggressive treatment including surgery, chemotherapy, and radiation, the cancer comes back in a third of patients leading to death, while survivors face lifelong side effects like learning difficulties or secondary cancers. Safer and more effective treatments are urgently needed. A critical barrier to better treatment is cell heterogeneity within the tumors, the presence of many different cell populations that respond differently to treatment. Some of these cells are killed by treatment while others survive and drive relapse. However, we cannot reliably identify or target these resistant cells.
My project tackles this problem with three goals. First, I will map all cell populations in human medulloblastoma tumors, creating the most detailed map of these tumors to date. Second, I will track which of these populations resist therapy and when during treatment they emerge by using a novel reporter system that I developed. This system colors each cell population differently, enabling us to watch resistance emerge in real-time and identify which cells are involved. Third, I will test FDA-approved drugs to find those that selectively kill the resistant cells, validating hits in patient-derived models and checking effects on healthy cells to maximize the translational potential of my work.
By showing which cells drive relapse and identifying drugs to target them, this project moves treatment toward precise, population-specific therapy. Ultimately, it aims to prevent relapse, reduce side effects, and improve outcomes for the 500+ children diagnosed with medulloblastoma each year.
Competitiondate
202511
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Hussain, Montdher
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $120,000~ $0~