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了解你的 PDX 模型。

Know Thy PDX Model.

机构信息

Mouse Informatics Coordinator, European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.

出版信息

Cancer Res. 2019 Sep 1;79(17):4324-4325. doi: 10.1158/0008-5472.CAN-19-2023.

Abstract

Patient-derived tumor xenograft (PDX) models are frequently used to study cancer mechanisms and potential therapeutics, however, differences in tumor evolution between models and patients have called into question their clinical relevance. In this issue, Mer and colleagues describe the Xenograft Visualization and Analysis (Xeva) software tool that empowers pharmacogenomic analysis through integration of PDX model tumor-drug response with genetic data. By performing the largest PDX model meta-analysis of its kind, the authors demonstrate PDX models are robust platforms for cancer treatment studies. With a clear need for more integrative studies, Xeva is well placed to make more important contributions to pharmacogenomic discovery..

摘要

患者来源肿瘤异种移植(PDX)模型常用于研究癌症机制和潜在治疗方法,然而,模型和患者之间肿瘤进化的差异使得它们的临床相关性受到质疑。在本期杂志中,Mer 及其同事描述了 Xenograft Visualization and Analysis(Xeva)软件工具,该工具通过整合 PDX 模型肿瘤-药物反应与遗传数据,实现了药物基因组学分析。通过对同类 PDX 模型进行最大规模的元分析,作者证明了 PDX 模型是癌症治疗研究的强大平台。鉴于对更具综合性研究的迫切需求,Xeva 非常适合为药物基因组学发现做出更重要的贡献。

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