Stanford and Northrop Grumman proposal for the Oncology Models Forum

 描述(由申请人提供)：肿瘤学模型论坛(OMF)的使命是调整、利用和整合癌症小鼠模型的数据和知识，以推动在癌症诊断、治疗和疾病模型的发现方面取得更快的成功。2014年6月初，美国国家癌症研究所(NCI)发布了PAR-14-239，将OMF描述为“一个全面的信息资源，以指导生成、验证和认证新模型，告知它们的实际用途，推进建模技术，[并]提供可用的模型资源、程序和服务的目录。”为了最大限度地利用现有资源，这个在线网站被指定使用现有的开源科学网站框架HUBZO，避免了从零开始创建一个新的科学网站的昂贵费用。OMF被设计为一个社区建设工具，有在线论坛和年度会议。具体内容将由与OMF并行资助的协作R01提供。临床前的小鼠和人在小鼠的模型对未来的癌症转化至关重要。2013年发表了4300多篇描述或使用癌症小鼠模型的手稿，包括异种移植和移植模型、自发模型、近交系小鼠和基因工程小鼠模型(GEMM)。NCI癌症模型数据库(CaMOD)现在列出了数千种在一个或多个部位容易发生肿瘤的小鼠模型。但关于这些模型的数据分散在众多资源中。未来利用癌症小鼠模型研究的成功不再那么依赖于新模型的持续创建，而更多地依赖于对数千个现有模型的验证、对这些模型上的知识和数据的透明访问、模型数据与人类数据的比较以及研究社区的组织。我们计划开发肿瘤学模型论坛(OMF)来实现这些目标。我们提议的OMF将整合关于癌症小鼠模型的结构化和非结构化数据和知识，使新的发现和新的翻译工具的开发成为可能。

 DESCRIPTION (provided by applicant): The mission for the Oncology Models Forum (OMF) is to align, harness and integrate data and knowledge of cancer mouse models to drive more rapid success in the discovery of diagnostics, therapeutics, and models of disease in cancer. In early June 2014, the National Cancer Institute (NCI) released PAR-14-239 describing the OMF as a "comprehensive resource for information to guide generating, validating, and credentialing new models, informing their practical uses, advancing modeling technologies, [and] providing catalogs of available models resources, programs, and services." To maximize the use of available resources, this online site was prescribed to use HUBzero, an existing open-source scientific website framework, avoiding the expensive creation of a new scientific website from scratch. The OMF was designed as a community-building tool, with online discussion forums and an annual meeting. Specific content will be provided from the collaborative R01s funded in parallel to the OMF. Pre-clinical mouse and human-in-mouse models are critical to future translation in cancer. More than 4,300 manuscripts were published in 2013 describing or using cancer mouse models, including xenografts and transplantation models, spontaneous models, inbred mice, and genetically engineered mouse models (GEMM). The NCI Cancer Models Database (caMOD) now lists thousands of mouse models that are prone to develop tumors in one or more sites. But data on these models is scattered across numerous resources. Future success in research using cancer mouse models is now less dependent on the continued creation of new models, and more dependent on the validation of the thousands of currently available models, transparent access to knowledge and data on these models, comparisons of model data with human data, and organization of the research community. We plan to develop the Oncology Models Forum (OMF) to accomplish these goals. Our proposed OMF will integrate structured and unstructured data and knowledge on cancer mouse models, enabling new discoveries and the development of new translational tools.