Department of Developmental Neurobiology, Memphis, TN, USA.
Center for Applied Bioinformatics, Memphis, TN, USA.
Nat Commun. 2021 Jul 2;12(1):4089. doi: 10.1038/s41467-021-24168-8.
Pediatric high-grade glioma (pHGG) is a major contributor to cancer-related death in children. In vitro and in vivo disease models reflecting the intimate connection between developmental context and pathogenesis of pHGG are essential to advance understanding and identify therapeutic vulnerabilities. Here we report establishment of 21 patient-derived pHGG orthotopic xenograft (PDOX) models and eight matched cell lines from diverse groups of pHGG. These models recapitulate histopathology, DNA methylation signatures, mutations and gene expression patterns of the patient tumors from which they were derived, and include rare subgroups not well-represented by existing models. We deploy 16 new and existing cell lines for high-throughput screening (HTS). In vitro HTS results predict variable in vivo response to PI3K/mTOR and MEK pathway inhibitors. These unique new models and an online interactive data portal for exploration of associated detailed molecular characterization and HTS chemical sensitivity data provide a rich resource for pediatric brain tumor research.
儿童高级别神经胶质瘤(pHGG)是导致儿童癌症相关死亡的主要原因。反映 pHGG 发病机制与发育背景之间密切关系的体外和体内疾病模型对于深入了解和确定治疗弱点至关重要。在这里,我们报告了 21 个源自患者的 pHGG 原位异种移植(PDOX)模型和 8 个匹配的细胞系的建立,这些模型重现了源自患者肿瘤的组织病理学、DNA 甲基化特征、突变和基因表达模式,包括现有模型中未很好代表的罕见亚组。我们使用 16 种新的和现有的细胞系进行高通量筛选(HTS)。体外 HTS 结果预测了对 PI3K/mTOR 和 MEK 通路抑制剂的不同体内反应。这些独特的新模型和一个在线交互式数据门户,用于探索相关的详细分子特征和 HTS 化学敏感性数据,为儿童脑肿瘤研究提供了丰富的资源。