Fitness Screens Map State-Specific Glioblastoma Stem Cell Vulnerabilities
Glioblastoma (GBM) is the most common and lethal primary brain tumor in adults and is driven by self-renewing glioblastoma stem cells (GSC) that persist after therapy and seed treatment-refractory recurrent tumors. GBM tumors display a high degree of intra- and intertumoral heterogeneity that is a prominent barrier to targeted treatment strategies. This heterogeneity extends to GSCs that exist on a gradient between two transcriptional states or subtypes termed developmental and injury response. Drug targets for each subtype are needed to effectively target GBM. To identify conserved and subtype-specific genetic dependencies across a large and heterogeneous panel of GSCs, we designed the GBM5K-targeted guide RNA library and performed fitness screens in a total of 30 patient-derived GSC cultures. The focused CRISPR screens identified the most conserved subtype-specific vulnerabilities in GSCs and elucidated the functional dependency gradient existing between the developmental and injury response states. Developmental-specific fitness genes were enriched for transcriptional regulators of neurodevelopment, whereas injury response-specific fitness genes were highlighted by several genes implicated in integrin and focal adhesion signaling. These context-specific vulnerabilities conferred differential sensitivity to inhibitors of β1 integrin, focal adhesion kinase, MEK, and OLIG2. Interestingly, the screens revealed that the subtype-specific signaling pathways drive differential cyclin D (CCND1 vs. CCND2) dependencies between subtypes. These data provide a biological insight and mechanistic understanding of GBM heterogeneity and point to opportunities for precision targeting of defined GBM and GSC subtypes to tackle heterogeneity. Significance: CRISPR-Cas9 screens in a panel of patient-derived glioblastoma stem cells reveal heterogeneity in genetic vulnerabilities across subtypes that have important implications for targeted and combination treatment strategies for glioblastoma.
Authors
- Jack Q. Lu (ORCID: https://orcid.org/0009-0007-6454-4014)
- Graham MacLeod (ORCID: https://orcid.org/0000-0001-6401-9307)
- Haresh Sureshkumar
- Daniel Schramek (ORCID: https://orcid.org/0000-0001-9977-2104)
- Jasmine K. Bhatti
- Stéphane Angers (ORCID: https://orcid.org/0000-0001-7241-9044)
- Sichun Lin (ORCID: https://orcid.org/0000-0002-7070-5765)
- Michelle Kushida
- Maira P. Almeida (ORCID: https://orcid.org/0000-0001-8974-0037)
- Shahan Haider (ORCID: https://orcid.org/0000-0002-0582-3810)
- Peter B. Dirks (ORCID: https://orcid.org/0000-0001-5718-6465)
- Fatemeh Molaei (ORCID: https://orcid.org/0000-0002-5838-2684)
Institutions
- University of Toronto (CA)
- Lunenfeld-Tanenbaum Research Institute (CA)
- Amgen (Canada) (CA)
- Brain Tumour Research (GB)
- Cellular Research (United States) (US)
Publication Details
- Journal
- Cancer Research
- Published
- 2024-08-26
- DOI
- https://doi.org/10.1158/0008-5472.can-23-4024
- Citations
- 10
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.38
Funders
- Canadian Institutes of Health Research