Cancer3D 2.0: interactive analysis of 3D patterns of cancer mutations in cancer subsets.
Cancer3D 2.0: interactive analysis of 3D patterns of cancer mutations in cancer subsets.
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DOI：
10.1093/nar/gky1098
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发表时间：
2019-01-08
影响因子：
14.9
通讯作者：
Godzik A
中科院分区：
文献类型：
--
作者：
Sedova M;Iyer M;Li Z;Jaroszewski L;Post KW;Hrabe T;Porta-Pardo E;Godzik A
在过去的几年里，我们对癌症基因组学的了解呈爆炸式增长，为我们提供了几乎所有癌症类型的基因改变的详细知识。对这些数据的分析让我们对癌症的分子方面有了新的见解，最重要的是单个癌症中分子异常的惊人多样性。当今癌症研究中最重要的问题是如何对这种多样性进行分类，以确定与个别患者的治疗和结果预测最相关的亚型。Http://www.cancer3d.org的Cancer3D数据库提供了一种开放和用户友好的方法，可以根据在患者临床数据中发现的蛋白质结构来分析癌症错义突变。这种方法允许用户为特定的亚群找到新的候选驱动区域，而在整个基因水平和大的、不同的队列中进行类似的分析时，往往找不到这些候选驱动区域。交互式界面允许用户可视化按癌症类型和分期、性别和年龄范围、患者种族定义的子组中突变的分布，反之亦然，可以找到特定三维突变模式的主导癌症类型、性别或年龄组。
Our knowledge of cancer genomics exploded in last several years, providing us with detailed knowledge of genetic alterations in almost all cancer types. Analysis of this data gave us new insights into molecular aspects of cancer, most important being the amazing diversity of molecular abnormalities in individual cancers. The most important question in cancer research today is how to classify this diversity to identify subtypes that are most relevant for treatment and outcome prediction for individual patients. The Cancer3D database at http://www.cancer3d.org gives an open and user-friendly way to analyze cancer missense mutations in the context of structures of proteins they are found in and in relation to patients’ clinical data. This approach allows users to find novel candidate driver regions for specific subgroups, that often cannot be found when similar analyses are done on the whole gene level and for large, diverse cohorts. Interactive interface allows user to visualize the distribution of mutations in subgroups defined by cancer type and stage, gender and age brackets, patient's ethnicity or vice versa find dominant cancer type, gender or age groups for specific three-dimensional mutation patterns.