Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02115, USA.
Breast Cancer Res Treat. 2013 Jul;140(1):187-93. doi: 10.1007/s10549-013-2605-z. Epub 2013 Jun 23.
Cancer risk prediction tools provide valuable information to clinicians but remain computationally challenging. Many clinics find that CaGene or HughesRiskApps fit their needs for easy- and ready-to-use software to obtain cancer risks; however, these resources may not fit all clinics' needs. The HughesRiskApps Group and BayesMendel Lab therefore developed a web service, called "Risk Service", which may be integrated into any client software to quickly obtain standardized and up-to-date risk predictions for BayesMendel tools (BRCAPRO, MMRpro, PancPRO, and MelaPRO), the Tyrer-Cuzick IBIS Breast Cancer Risk Evaluation Tool, and the Colorectal Cancer Risk Assessment Tool. Software clients that can convert their local structured data into the HL7 XML-formatted family and clinical patient history (Pedigree model) may integrate with the Risk Service. The Risk Service uses Apache Tomcat and Apache Axis2 technologies to provide an all Java web service. The software client sends HL7 XML information containing anonymized family and clinical history to a Dana-Farber Cancer Institute (DFCI) server, where it is parsed, interpreted, and processed by multiple risk tools. The Risk Service then formats the results into an HL7 style message and returns the risk predictions to the originating software client. Upon consent, users may allow DFCI to maintain the data for future research. The Risk Service implementation is exemplified through HughesRiskApps. The Risk Service broadens the availability of valuable, up-to-date cancer risk tools and allows clinics and researchers to integrate risk prediction tools into their own software interface designed for their needs. Each software package can collect risk data using its own interface, and display the results using its own interface, while using a central, up-to-date risk calculator. This allows users to choose from multiple interfaces while always getting the latest risk calculations. Consenting users contribute their data for future research, thus building a rich multicenter resource.
癌症风险预测工具为临床医生提供了有价值的信息，但仍然具有计算挑战性。许多诊所发现 CaGene 或 HughesRiskApps 满足其需求，可提供易于使用且随时可用的软件来获取癌症风险；然而，这些资源可能并不符合所有诊所的需求。因此，HughesRiskApps 小组和 BayesMendel 实验室开发了一个名为“风险服务”的网络服务，该服务可以集成到任何客户端软件中，以快速获取 BayesMendel 工具（BRCAPRO、MMRpro、PancPRO 和 MelaPRO）、Tyrer-Cuzick IBIS 乳腺癌风险评估工具和结直肠癌风险评估工具的标准化和最新风险预测。可以将其本地结构化数据转换为 HL7 XML 格式的家族和临床病史（ pedigree 模型）的软件客户端可以与风险服务集成。风险服务使用 Apache Tomcat 和 Apache Axis2 技术提供全 Java 网络服务。软件客户端将包含匿名家族和临床病史的 HL7 XML 信息发送到 Dana-Farber 癌症研究所（DFCI）服务器，在该服务器中，它由多个风险工具进行解析、解释和处理。然后，风险服务将结果格式化为 HL7 样式的消息，并将风险预测返回给原始软件客户端。在获得同意的情况下，用户可以允许 DFCI 维护数据以供未来研究使用。通过 HughesRiskApps 举例说明了风险服务的实现。风险服务扩大了有价值的、最新的癌症风险工具的可用性，并允许诊所和研究人员将风险预测工具集成到他们自己的软件接口中，以满足他们的需求。每个软件包都可以使用自己的接口收集风险数据，并使用自己的接口显示结果，同时使用中央的、最新的风险计算器。这允许用户在始终获得最新风险计算的同时从多个接口中进行选择。同意的用户将其数据贡献用于未来的研究，从而构建了一个丰富的多中心资源。
