PO.ET03.01 · 实验与分子治疗

DYRK1A介导的静止状态为胶质母细胞瘤复发建立了治疗耐药性储库

DYRK1A-mediated quiescence establishes a therapeutically-resistant reservoir for glioblastoma recurrence

海报缩略图:DYRK1A介导的静止状态为胶质母细胞瘤复发建立了治疗耐药性储库
编号 388 展板 21 时间 4/19 02:00–05:00 区域 Section 16 主讲 Ameesha Paliwal, BS
分会场 Mechanisms of Drug Resistance 1
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作者与单位 Authors & Affiliations

Ameesha Paliwal1, Kevin Faust2, Okty Abbasi Borhani2, Rifat S. Sajid1, Evelyn R. Kamski-Hennekam2, Ingrid Jin1, Johnny L. McRae2, Anzar Alvi2, Parsa Babaei Zadeh2, Dimitrios G. Oreopoulos2, Lauren Omoto1, Phedias Diamandis2

1Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada,2Princess Margaret Cancer Centre, Toronto, ON, Canada

摘要 Abstract

中文摘要
胶质母细胞瘤(GBM)是成人中最常见且最具侵袭性的原发性脑癌,这归因于其广泛的瘤内异质性和快速的疾病进展。据推测,标准的放疗和化疗(替莫唑胺)治疗作为进化压力,选择出少数时序稳定的细胞亚群,这些细胞播种形成侵袭性、治疗耐药的复发肿瘤。本研究旨在于诊断时识别并靶向治疗耐药GBM细胞的治疗脆弱点,以主动应对疾病进展。 我们开发并应用了一个深度学习模型,分析患者配对的原发和复发GBM全标本,通过保守的形态学提名时序稳定的细胞群,在40例分析病例中成功识别出31例的这类细胞。对被提名细胞群的形态学特征分析揭示出与间充质组织学一致的不规则核形态指标,包括核圆度降低(-8.6%;p<0.0001;n=18)、核轴长度增加(+8.2%;p<0.01;n=18)以及细胞面积增大(+13.0%;p<0.05;n=18)。稳定细胞的特征进一步与外部胶质瘤队列中总生存期降低38.6%相关(p<0.05;n=51)。为确定支撑稳定性的分子机制,我们对配对的临床标本进行了基于质谱的蛋白质组学分析,揭示出通过DREAM复合物介导的DYRK1A细胞静止程序的富集,可能是化疗逃逸的一种机制(p<0.01;n=36)。与静止驱动的耐药机制相一致,Ki67免疫组化染色显示原发肿瘤中稳定亚群的增殖指数相比肿瘤主体降低了47.5%(p<0.05;n=9)。为在体外模拟这些观察结果,我们在离体小鼠脑切片模型中培养了CRISPR-Cas9介导DYRK1A过表达的GBM细胞,并评估了替莫唑胺给药的效应。研究发现,与野生型对照相比,DYRK1A过表达消除了患者来源培养物中化疗诱导的GBM细胞死亡(p<0.05),证实了DYRK1A在体外建立治疗耐药中的功能性作用。 临床前研究已表明,抑制DYRK1A/DREAM复合物可逆转肿瘤细胞静止状态,并使中枢神经系统外肿瘤中的耐药细胞对化疗重新敏感。这些发现将该概念延伸至GBM,并支持在诊断时靶向治疗耐药驱动因素的策略。目前GBM的治疗方法仅限于减轻疾病负荷;本研究为主动预判并中断疾病进展的干预措施提供了依据。
查看英文原文 English abstract
Glioblastoma (GBM) is the most common and aggressive primary brain cancer in adults, owed to its extensive intratumoral heterogeneity and rapid disease progression. It is hypothesized that standard-of-care radio- and chemotherapy (temozolomide) treatments act as evolutionary pressures to select a minority subpopulation of temporally stable cells, which seed aggressive, therapeutically resistant recurrent tumors. This study aims to identify and target the therapeutic vulnerabilities of treatment-resistant GBM cells at diagnosis to proactively address disease progression. We developed and applied a deep learning model to analyze whole patient-matched primary and recurrent GBM specimens to nominate temporally stable cell populations by conserved morphology, successfully identifying these cells in 31 of 40 analyzed cases. Morphologic feature analysis of nominated populations revealed irregular nuclear shape metrics consistent with mesenchymal histology, including reduced nucleus circularity (-8.6%; p <0.0001; n =18), increased nuclear axis length (+8.2%; p <0.01; n =18) , and increased cell area (+13.0%; p <0.05; n =18). Features of stable cells further correlated with a 38.6% reduction in overall survival in an external glioma cohort ( p <0.05; n =51). To define molecular mechanisms underpinning stability, we performed mass spectrometry-based proteomic profiling of matched clinical specimens, which revealed the enrichment of DYRK1A-mediated cell quiescence programs via the DREAM complex as a potential mechanism for chemotherapy evasion ( p <0.01; n =36). Consistent with a quiescence-driven resistance mechanism, Ki67 immunohistochemistry staining demonstrated a 47.5% reduction in the proliferative index of stable subpopulations in the primary tumor compared to the tumor bulk ( p <0.05; n =9). To model these observations in vitro, we cultured CRISPR-Cas9 DYRK1A overexpressing GBM cells in an ex vivo mouse brain slice model and evaluated the effects of temozolomide administration. DYRK1A overexpression was found to ablate chemotherapy-induced GBM cell death in patient-derived cultures, compared to wildtype controls (p<0.05), confirming a functional role for DYRK1A in establishing therapeutic resistance in vitro. Pre-clinical studies of DYRK1A/DREAM complex inhibition have been shown to reverse tumour cell quiescence and sensitize resistant cells to chemotherapy in extra-CNS cancers. These findings extend this concept to GBM and support strategies to target drivers of therapeutic resistance at diagnosis. Current therapeutic approaches in GBM are limited to reducing disease burden; this study informs interventions to proactively anticipate and interrupt disease progression.
利益披露 Disclosure
A. Paliwal, None.. K. Faust, None.. O. Abbasi Borhani, None.. R. S. Sajid, None.. E. R. Kamski-Hennekam, None.. I. Jin, None.. J. L. McRae, None.. A. Alvi, None.. P. Babaei Zadeh, None.. D. G. Oreopoulos, None.. L. Omoto, None.. P. Diamandis, None.

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