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DDIS-05. PATIENT DERIVED NEUROSPHERE CULTURES IDENTIFY NOVEL CHEMOVULNERABILITIES IN GLIOBLASTOMA

机译:DDIS-05。源自患者的神经球蛋白培养可鉴定胶质母细胞瘤的新化学易性

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摘要

3-dimensional (3D) cell culture systems are increasingly used in biomedical research due to their recapitulation of tumor architecture, including pertinent nutrient and oxygen gradients, and a requisite drug penetration through multiple cell layers. Deployment of patient derived models of cancer (PDMC) propagated in defined media (serum-free) heightens clinical relevance of drug activity over that of long-term established cell lines, with an expectation of greater preclinical prediction of efficacy in patients. Indeed 3D tumor models retain the genomic heterogeneity and “stem-like” properties of the original tumors. Here we report results from screening 3D neurosphere cultures of 24 different glioblastoma (GBM) PDMC with focused, clinically-relevant, drug collections. In addition to uncovering patient-specific agents (Precision Medicine), the approach uncovers sub-stratification of GBM into novel chemosensitive groups. Specifically, cases dichotomize into instances of sensitivity to targeted agents such as proteasome inhibitors or those of growth factor signaling (e.g. TGFβ pathway modulators), although many novel targets are also identified. We further employ genomic and gene expression analyses to characterize said groups with a view to illustrating these chemovulnerabilities to detect the relevant signaling pathways’ therapeutic intervention points. In sum, using clinically-relevant PDMCs and 3D culture systems, we can identify drugs and novel targets relevant to individual patients. Once further validated, genomic characterization of new patient cultures could be used to predict sensitivity to certain perturbagens, making a case for evidence-based precision medicine. As current GBM treatment options are particularly limited, this approach may help provide insights for optimal use of available therapeutics.
机译:3维(3D)细胞培养系统由于其对肿瘤结构的概括,包括相关的营养和氧气梯度以及必需的药物穿过多个细胞层的渗透,而越来越多地用于生物医学研究。在定义的培养基(无血清)中传播的患者衍生癌症模型(PDMC)的部署,与长期建立的细胞系相比,增强了药物活性的临床相关性,并期望对患者的疗效进行更多的临床前预测。实际上,3D肿瘤模型保留了原始肿瘤的基因组异质性和“类茎”特性。在这里,我们报告了从24种不同胶质母细胞瘤(GBM)PDMC的3D神经球培养物中筛选的结果,这些结果具有针对性,与临床相关的药物。除了发现患者特异的药物(精密医学)外,该方法还发现了GBM的亚分层成新的化学敏感性基团的情况。具体而言,尽管也鉴定出许多新的靶标,但病例分成对靶标试剂如蛋白酶体抑制剂或生长因子信号转导试剂(例如TGFβ途径调节剂)的敏感性实例。我们进一步采用基因组和基因表达分析来表征所述组,以阐明这些化学易感性,以检测相关信号通路的治疗干预点。总而言之,使用与临床相关的PDMC和3D培养系统,我们可以识别与个体患者相关的药物和新靶标。一旦进一步验证,新患者培养物的基因组特征可用于预测对某些扰动药物的敏感性,从而为循证精密医学提供依据。由于当前的GBM治疗方案特别有限,因此该方法可能有助于提供洞察力,以最佳地利用可用的疗法。

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