Stanford and Northrop Grumman proposal for the Oncology Models Forum

斯坦福大学和诺斯罗普·格鲁曼公司关于肿瘤模型论坛的提案

基本信息

批准号：
9762589
负责人：
ATUL J BUTTE
金额：
$ 91.28万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-01 至 2021-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9762589
关键词：
Address Area Award Bioinformatics Cancer Model Catalogs Communicable Diseases Communities Community Clinical Oncology Program Credentialing Data Data Analyses Databases Diagnostic Disease model Educational workshop Ensure Feedback Funding Funding Mechanisms Future Genetically Engineered Mouse Goals Hour Human Hypersensitivity Immunology Inbred Mouse Institutes Knowledge Learning Malignant Neoplasms Manuscripts Maryland Mission Modeling Mus NIH Program Announcements Nanotechnology National Cancer Institute Nature Online Systems Output Participant Published Comment Publishing Research Research Personnel Resources Role Science Services Site Software Engineering Structure Support Contracts Technology Therapeutic Translations Universities Validation Xenograft procedure biomedical informatics biomedical ontology community building data modeling data sharing design experience human data innovation knowledge base meetings mouse model oncology open source pre-clinical programs public health relevance skills software development success support network technology development tool translational cancer research transplant model tumor web site webinar

项目摘要

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.

描述（由申请人提供）：肿瘤模型论坛（OMF整合）的使命是整合、利用癌症小鼠模型的数据和知识，以推动癌症诊断、治疗和模型的发现更快地取得成功2014 年 6 月上旬，美国国家癌症研究所 (NCI) 发布了 PAR-14-239，将 OMF 描述为“指导生成、验证和认证新疗法的综合信息资源”。模型，告知其实际用途，推进建模技术，[并]提供可用模型资源、程序和服务的目录。”为了最大限度地利用可用资源，该在线网站被规定使用 HUBzero，这是一种现有的开源科学技术OMF 被设计为一个社区建设工具，具有在线讨论论坛和年度会议，由与 OMF 并行资助的协作 R01 提供。临床前小鼠2013 年发表了 4,300 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) 现在列出了数千种易于在一个或多个部位发生肿瘤的小鼠模型，但这些模型的数据分散在众多资源中。癌症小鼠模型现在不再依赖于新模型的持续创建，而是更多地依赖于对现有数千个模型的验证、对这些模型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模型数据的组织。我们计划开发肿瘤模型论坛（OMF）来实现这些目标，我们提议的 OMF 将整合癌症小鼠模型的结构化和非结构化数据和知识，从而实现新的发现和新的转化工具的开发。