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Fitness Screens Map State-Specific Glioblastoma Stem Cell Vulnerabilities
Cancer Research ( IF 12.5 ) Pub Date : 2024-08-26 , DOI: 10.1158/0008-5472.can-23-4024
Graham MacLeod 1 , Fatemeh Molaei 1 , Shahan Haider 2 , Maira P Almeida 1 , Sichun Lin 3 , Michelle Kushida 4 , Haresh Sureshkumar 1 , Jasmine K Bhatti 1 , Jack Q Lu 1 , Daniel Schramek 2 , Peter B Dirks 5 , Stephane Angers 3
Affiliation  

Glioblastoma (GBM) is the most common and lethal primary brain tumor in adults and is driven by self-renewing glioblastoma stem cells (GSCs) that persist after therapy and seed treatment refractory recurrent tumors. GBM tumors display a high degree of intra- and inter-tumoral 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 gRNA 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, FAK, 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 biological insight and mechanistic understanding of GBM heterogeneity and point to opportunities for precision targeting of defined GBM and GSC subtypes to tackle heterogeneity.

中文翻译:


Fitness Screens 绘制了各州特异性胶质母细胞瘤干细胞的脆弱性



胶质母细胞瘤 (GBM) 是成人最常见和最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,这些干细胞在治疗和种子治疗难治性复发性肿瘤后持续存在。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突出障碍。这种异质性延伸到存在于两种转录状态或亚型(称为发育和损伤反应)之间的梯度上的 GSC。需要针对每种亚型的药物靶点才能有效靶向 GBM。为了在大型异质性 GSC 组中识别保守和亚型特异性遗传依赖性,我们设计了 GBM5K 靶向 gRNA 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。重点 CRISPR 筛选确定了 GSC 中最保守的亚型特异性脆弱性,并阐明了发育和损伤反应状态之间存在的功能依赖性梯度。发育特异性适应基因富含神经发育的转录调节因子,而损伤反应特异性适应基因则由与整合素和粘着斑信号传导有关的几个基因突出显示。这些特定于环境的脆弱性赋予了对 β1 整合素、 FAK 、 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亚型之间的差异细胞周期蛋白 D (CCND1 vs. 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,并指出了精确靶向定义的 GBM 和 GSC 亚型以解决异质性的机会。
更新日期:2024-08-26
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