Continuation and Expansion of the National Mesothelioma Virtual Bank for Translational Research (U24) - 2021

总结： 国家间皮瘤虚拟银行（NMVB）网络同意患者提供生物标本（血液 产品和组织）以及人口统计数据、职业史和临床数据（阶段、治疗 和生存信息）的间皮瘤研究社区。此外，蛋白质生物标志物、基因组 成像数据也由研究人员收集并共享用于未来的研究。匹兹堡大学是 NMVB协议的协调站点，该站点也在纽约的四个合作站点就位 罗斯威尔公园综合癌症中心，马里兰州和马里兰大学 宾夕法尼亚我们的具体目标是：1）继续服务于间皮瘤癌症研究社区， 收集和分发组织、血液和上述数据，并增加NMVB队列， 2200名患者。我们将继续记录并不断评估NMVB对 科学界，并衡量其与间皮瘤应用研究合作的影响 基金会; 2）将网络扩展到贝勒医学院，增加了地理和 NMVB队列的种族多样性。我们还将在全国范围内推广我们的间皮瘤数据模型， 在国际上鼓励与其他注册机构的联系;以及3）我们不断创新的目标是实现自动化 通过从电子健康数据库中提取临床、结果和病理学数据对生物样本进行注释 通过具有成本效益的研究电子数据开源工具， 捕获或REDCap。我们将部署和实施可扩展的、具有成本效益的工具，以最大限度地提高效率 跨协作站点的数据提取过程，这将允许与其他国家和 国际组织和数据共享网络。

Summary: The National Mesothelioma Virtual Bank (NMVB) network consents patients to provide biospecimens (blood products and tissue) together with demographic data, occupational history and clinical data (stage, treatment and survival information) to the mesothelioma research community. In addition, protein biomarkers, genomic and imaging data are also collected by researchers and shared for future studies. The University of Pittsburgh is the coordinating site for the NMVB protocol, which is also in place at four partnering sites, New York University, Roswell Park Comprehensive Cancer Center, University of Maryland and University of Pennsylvania. Our specific aims are to: 1) Continue to serve the mesothelioma cancer research community by collecting and distributing tissue, blood and the aforementioned data as well as increasing the NMVB cohort to 2200 patients. We will continue to document and continually evaluate the usefulness of the NMVB to the scientific community and measure its impact in collaboration with the Mesothelioma Applied Research Foundation; 2) Expand the network to the Baylor College of Medicine which increases both the geographic and racial diversity of the NMVB cohort. We will also promote our mesothelioma data model nationally and internationally to encourage linkage to other registries; and 3) Our continued innovation aim is to automate annotation of biospecimens through extraction of clinical, outcomes, and pathology data from electronic health records and cancer registry systems through a cost-effective open source tool for Research Electronic Data Capture or REDCap. We will deploy and implement scalable, cost-effective tools to maximize the effectiveness of the data extraction process across collaborating sites which will allow linkage to other national and international tissue and data sharing networks.