Division for Bioinformatics, Biocenter, Innsbruck Medical University, Innrain 80-82, 6020 Innsbruck, Austria.
BMC Bioinformatics. 2014 Sep 18;15(1):306. doi: 10.1186/1471-2105-15-306.
Cancer immunotherapy has recently entered a remarkable renaissance phase with the approval of several agents for treatment. Cancer treatment platforms have demonstrated profound tumor regressions including complete cure in patients with metastatic cancer. Moreover, technological advances in next-generation sequencing (NGS) as well as the development of devices for scanning whole-slide bioimages from tissue sections and image analysis software for quantitation of tumor-infiltrating lymphocytes (TILs) allow, for the first time, the development of personalized cancer immunotherapies that target patient specific mutations. However, there is currently no bioinformatics solution that supports the integration of these heterogeneous datasets.
We have developed a bioinformatics platform - Personalized Oncology Suite (POS) - that integrates clinical data, NGS data and whole-slide bioimages from tissue sections. POS is a web-based platform that is scalable, flexible and expandable. The underlying database is based on a data warehouse schema, which is used to integrate information from different sources. POS stores clinical data, genomic data (SNPs and INDELs identified from NGS analysis), and scanned whole-slide images. It features a genome browser as well as access to several instances of the bioimage management application Bisque. POS provides different visualization techniques and offers sophisticated upload and download possibilities. The modular architecture of POS allows the community to easily modify and extend the application.
The web-based integration of clinical, NGS, and imaging data represents a valuable resource for clinical researchers and future application in medical oncology. POS can be used not only in the context of cancer immunology but also in other studies in which NGS data and images of tissue sections are generated. The application is open-source and can be downloaded at http://www.icbi.at/POS.
癌症免疫疗法最近进入了一个显著的复兴阶段,有几种药物被批准用于治疗。癌症治疗平台已经证明了深刻的肿瘤消退,包括转移性癌症患者的完全治愈。此外,下一代测序(NGS)技术的进步以及用于扫描组织切片的全幻灯片生物图像的设备的开发,以及用于定量肿瘤浸润淋巴细胞(TIL)的图像分析软件,首次允许开发针对患者特异性突变的个性化癌症免疫疗法。然而,目前还没有生物信息学解决方案支持这些异构数据集的集成。
我们开发了一个生物信息学平台 - 个性化肿瘤学套件(POS) - 它集成了临床数据、NGS 数据和来自组织切片的全幻灯片生物图像。POS 是一个基于网络的平台,具有可扩展性、灵活性和可扩展性。基础数据库基于数据仓库模式,用于整合来自不同来源的信息。POS 存储临床数据、基因组数据(从 NGS 分析中识别的 SNPs 和 INDELs)和扫描的全幻灯片图像。它具有基因组浏览器以及对多个 Bisque 生物图像管理应用程序实例的访问。POS 提供了不同的可视化技术,并提供了复杂的上传和下载功能。POS 的模块化架构允许社区轻松修改和扩展应用程序。
临床、NGS 和成像数据的基于网络的集成代表了临床研究人员的宝贵资源,并且将来在肿瘤医学中的应用具有重要意义。POS 不仅可以用于癌症免疫学的背景下,还可以用于生成 NGS 数据和组织切片图像的其他研究中。该应用程序是开源的,可以在 http://www.icbi.at/POS 下载。