School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
CAS Key Laboratory for Computational Biology, CAS-MPG Partner Institute for Computing Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
BMC Cancer. 2018 May 9;18(1):550. doi: 10.1186/s12885-018-4459-6.
Liver cancer is the second leading cause of cancer-related deaths and characterized by heterogeneity and drug resistance. Patient-derived xenograft (PDX) models have been widely used in cancer research because they reproduce the characteristics of original tumors. However, the current studies of liver cancer PDX mice are scattered and the number of available PDX models are too small to represent the heterogeneity of liver cancer patients. To improve this situation and to complement available PDX models related resources, here we constructed a comprehensive database, PDXliver, to integrate and analyze liver cancer PDX models.
Currently, PDXliver contains 116 PDX models from Chinese liver cancer patients, 51 of them were established by the in-house PDX platform and others were curated from the public literatures. These models are annotated with complete information, including clinical characteristics of patients, genome-wide expression profiles, germline variations, somatic mutations and copy number alterations. Analysis of expression subtypes and mutated genes show that PDXliver represents the diversity of human patients. Another feature of PDXliver is storing drug response data of PDX mice, which makes it possible to explore the association between molecular profiles and drug sensitivity. All data can be accessed via the Browse and Search pages. Additionally, two tools are provided to interactively visualize the omics data of selected PDXs or to compare two groups of PDXs.
As far as we known, PDXliver is the first public database of liver cancer PDX models. We hope that this comprehensive resource will accelerate the utility of PDX models and facilitate liver cancer research. The PDXliver database is freely available online at: http://www.picb.ac.cn/PDXliver/.
肝癌是癌症相关死亡的第二大主要原因,其特点是异质性和耐药性。患者来源的异种移植(PDX)模型已广泛应用于癌症研究,因为它们再现了原始肿瘤的特征。然而,目前肝癌 PDX 小鼠的研究较为分散,可用的 PDX 模型数量太少,无法代表肝癌患者的异质性。为了改善这种情况,并补充可用的 PDX 模型相关资源,我们构建了一个综合数据库 PDXliver,以整合和分析肝癌 PDX 模型。
目前,PDXliver 包含 116 个来自中国肝癌患者的 PDX 模型,其中 51 个是通过内部 PDX 平台建立的,其他的则是从公共文献中整理出来的。这些模型具有完整的信息注释,包括患者的临床特征、全基因组表达谱、种系变异、体细胞突变和拷贝数改变。对表达亚型和突变基因的分析表明,PDXliver 代表了人类患者的多样性。PDXliver 的另一个特点是存储 PDX 小鼠的药物反应数据,这使得探索分子谱与药物敏感性之间的关联成为可能。所有数据都可以通过浏览和搜索页面访问。此外,还提供了两个工具,用于交互式可视化选定 PDX 的组学数据或比较两组 PDX。
据我们所知,PDXliver 是第一个肝癌 PDX 模型的公共数据库。我们希望这个综合资源将加速 PDX 模型的应用,并促进肝癌研究。PDXliver 数据库可在以下网址免费在线获取:http://www.picb.ac.cn/PDXliver/。