MacLeod Graham, Molaei Fatemeh, Haider Shahan, Almeida Maira P, Lin Sichun, Kushida Michelle, Sureshkumar Haresh, Bhatti Jasmine K, Lu Jack Q, Schramek Daniel, Dirks Peter B, Angers Stephane
Donnelly Centre for Cellular and Biomolecular Research, Toronto, Ontario, Canada.
Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.
Cancer Res. 2024 Dec 2;84(23):3967-3983. doi: 10.1158/0008-5472.CAN-23-4024.
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.
胶质母细胞瘤(GBM)是成人中最常见且致命的原发性脑肿瘤,由自我更新的胶质母细胞瘤干细胞(GSC)驱动,这些干细胞在治疗后持续存在并引发对治疗耐药的复发性肿瘤。GBM肿瘤表现出高度的肿瘤内和肿瘤间异质性,这是靶向治疗策略的一个突出障碍。这种异质性延伸到GSC,GSC存在于两种转录状态或亚型(称为发育型和损伤反应型)之间的梯度上。需要针对每种亚型的药物靶点来有效靶向GBM。为了在大量异质性的GSC中鉴定保守的和亚型特异性的基因依赖性,我们设计了GBM5K靶向向导RNA文库,并在总共30种患者来源的GSC培养物中进行了适应性筛选。聚焦的CRISPR筛选确定了GSC中最保守的亚型特异性脆弱性,并阐明了发育型和损伤反应型之间存在的功能依赖性梯度。发育型特异性适应性基因在神经发育的转录调节因子中富集,而损伤反应型特异性适应性基因则由几个与整合素和粘着斑信号传导相关的基因突出显示。这些背景特异性脆弱性赋予了对β1整合素、粘着斑激酶、MEK和OLIG2抑制剂的不同敏感性。有趣的是,筛选显示亚型特异性信号通路驱动了亚型之间不同的细胞周期蛋白D(CCND1与CCND2)依赖性。这些数据提供了对GBM异质性的生物学见解和机制理解,并指出了精准靶向特定GBM和GSC亚型以解决异质性的机会。意义:对一组患者来源的胶质母细胞瘤干细胞进行的CRISPR-Cas9筛选揭示了亚型间基因脆弱性的异质性,这对胶质母细胞瘤的靶向和联合治疗策略具有重要意义。