PDXliver: a database of liver cancer patient derived xenograft mouse models.
PDXliver: a database of liver cancer patient derived xenograft mouse models.
复制标题
PDXliver：肝癌患者异种移植小鼠模型的数据库。
DOI：
10.1186/s12885-018-4459-6
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发表时间：
2018-05-09
期刊：
影响因子：
3.8
通讯作者：
Yang XR
中科院分区：
文献类型：
--
作者：
He S;Hu B;Li C;Lin P;Tang WG;Sun YF;Feng FY;Guo W;Li J;Xu Y;Yao QL;Zhang X;Qiu SJ;Zhou J;Fan J;Li YX;Li H;Yang XR
肝癌是癌症相关死亡的第二大原因，其特点是异质性和耐药。患者源性异种移植（PDX）模型由于能够再现原肿瘤的特征而被广泛应用于癌症研究。然而，目前肝癌PDX小鼠的研究是分散的，可用的PDX模型数量太少，不能代表肝癌患者的异质性。为了改善这一状况，补充现有的PDX模型相关资源，我们构建了一个综合数据库PDXliver，对肝癌PDX模型进行整合和分析。目前，PDXliver包含116个来自中国肝癌患者的PDX模型，其中51个是由PDX平台建立的，其他来自公开文献。这些模型具有完整的注释信息，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系成为可能。所有数据都可以通过浏览和搜索页面访问。此外，还提供了两个工具来交互式地可视化所选pdx的组学数据或比较两组pdx。据我们所知，PDXliver是第一个公开的肝癌PDX模型数据库。我们希望这一综合资源将加速PDX模型的应用，促进肝癌研究。PDXliver数据库可免费在线访问：http://www.picb.ac.cn/PDXliver/
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/
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影响因子：
82.9
作者：
Gao, Hui;Korn, Joshua M.;Sellers, William R.
通讯作者：
Sellers, William R.
影响因子：
6.2
作者：
Stebbing, Justin;Paz, Keren;Schwartz, Gary K.;Wexler, Leonard H.;Maki, Robert;Pollock, Raphael E.;Morris, Ronnie;Cohen, Richard;Shankar, Arjun;Blackman, Glen;Harding, Victoria;Vasquez, David;Krell, Jonathan;Ciznadija, Daniel;Katz, Amanda;Sidransky, David
通讯作者：
Sidransky, David
影响因子：
5.7
作者：
Hidalgo M;Bruckheimer E;Rajeshkumar NV;Garrido-Laguna I;De Oliveira E;Rubio-Viqueira B;Strawn S;Wick MJ;Martell J;Sidransky D
通讯作者：
Sidransky D
影响因子：
11.2
作者：
Hoshida Y;Nijman SM;Kobayashi M;Chan JA;Brunet JP;Chiang DY;Villanueva A;Newell P;Ikeda K;Hashimoto M;Watanabe G;Gabriel S;Friedman SL;Kumada H;Llovet JM;Golub TR
通讯作者：
Golub TR
影响因子：
254.7
作者：
Siegel, Rebecca;Ma, Jiemin;Jemal, Ahmedin
通讯作者：
Jemal, Ahmedin