患者来源的骨肉瘤异种移植模型的全基因组和反向蛋白质相阵列景观。
Whole genome and reverse protein phase array landscapes of patient derived osteosarcoma xenograft models.
发表日期：2024 Aug 27
作者：
Chia-Chin Wu, Licai Huang, Zhongting Zhang, Zhenlin Ju, Xingzhi Song, E Anders Kolb, Wendong Zhang, Jonathan Gill, Min Ha, Malcolm A Smith, Peter Houghton, Christopher L Morton, Raushan Kurmasheva, John Maris, Yael Mosse, Yiling Lu, Richard Gorlick, P Andrew Futreal, Hannah C Beird
来源：
Disease Models & Mechanisms
摘要：
骨肉瘤是儿童和年轻人最常见的原发性骨恶性肿瘤，治疗选择很少。因此，过去几十年来，生存结果几乎没有改善。在这种疾病中，对测试新疗法的模型的需求尤其巨大，因为它既罕见又对大多数疗法没有反应。为了解决这个问题，NCI 资助的一个联盟已经表征并利用了一组源自患者的骨肉瘤异种移植模型进行药物测试。这些模型的外显子组、转录组和拷贝数景观先前已介绍过。这项研究现在添加了全基因组测序和反相蛋白质阵列分析数据，这些数据可以与药物测试结果相关联。此外，还描述了四种额外的骨肉瘤模型供研究界使用。© 2024。作者。
Osteosarcoma is the most common primary bone malignancy in children and young adults, and it has few treatment options. As a result, there has been little improvement in survival outcomes in the past few decades. The need for models to test novel therapies is especially great in this disease since it is both rare and does not respond to most therapies. To address this, an NCI-funded consortium has characterized and utilized a panel of patient-derived xenograft models of osteosarcoma for drug testing. The exomes, transcriptomes, and copy number landscapes of these models have been presented previously. This study now adds whole genome sequencing and reverse-phase protein array profiling data, which can be correlated with drug testing results. In addition, four additional osteosarcoma models are described for use in the research community.© 2024. The Author(s).