SUMMARY Predictive biomarkers for patient stratification play critical roles in realizing the paradigm of precision medicine. Molecular characteristics such as somatic mutations and expression signatures represent the primary source of putative biomarker genes for patient stratification. However, evaluation of such candidate biomarkers is still cumbersome and requires multistep procedures especially when using massive public omics data. Here, we present an interactive web application that divides patients from large cohorts (e.g. The Cancer Genome Atlas, TCGA) dynamically into two groups according to the mutation, copy number variation or gene expression of query genes. It further supports users to examine the prognostic value of resulting patient groups based on survival analysis and their association with the clinical features as well as the previously annotated molecular subtypes, facilitated with a rich and interactive visualization. Importantly, we also support custom omics data with clinical information. AVAILABILITY AND IMPLEMENTATION CaPSSA (Cancer Patient Stratification and Survival Analysis) runs on a web-browser and is freely available without restrictions at http://www.kobic.re.kr/capssa/. The source code is available on https://github.com/yjjang/capssa. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.

中文翻译：

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CaPSSA：使用突变和表达数据对癌症生物标志物基因进行视觉评估，以进行患者分层和生存分析。

发明内容用于患者分层的预测生物标志物在实现精密医学范例中起关键作用。诸如体细胞突变和表达特征之类的分子特征代表了用于患者分层的推定生物标志物基因的主要来源。然而，对这些候选生物标记物的评估仍然很麻烦，并且需要多步骤的程序，尤其是在使用大量的公共组学数据时。在这里，我们提供了一个交互式Web应用程序，该应用程序根据查询基因的突变，拷贝数变异或基因表达，将来自大型队列（例如The Cancer Genome Atlas，TCGA）的患者动态地分为两组。它进一步支持用户根据生存分析及其与临床特征以及先前注释的分子亚型的关联来检查所得患者组的预后价值，并借助丰富的交互式可视化功能。重要的是，我们还支持带有临床信息的定制组学数据。可用性和实现性CaPSSA（癌症患者分层和生存分析）在网络浏览器上运行，可在http://www.kobic.re.kr/capssa/上免费免费获得。源代码可在https://github.com/yjjang/capssa上获得。补充信息补充数据可从Bioinformatics在线获得。可用性和实现性CaPSSA（癌症患者分层和生存分析）在网络浏览器上运行，可在http://www.kobic.re.kr/capssa/上免费免费获得。源代码可在https://github.com/yjjang/capssa上获得。补充信息补充数据可从Bioinformatics在线获得。可用性和实现性CaPSSA（癌症患者分层和生存分析）在网络浏览器上运行，可在http://www.kobic.re.kr/capssa/上免费免费获得。源代码可在https://github.com/yjjang/capssa上获得。补充信息补充数据可从Bioinformatics在线获得。