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A Data Standard for Sourcing Fit-for-Purpose Biological Samples in an Integrated Virtual Network of Biobanks

机译:在生物库的集成虚拟网络中采购适合用途的生物样品的数据标准

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摘要

Human tissue biobanks are at the epicenter of clinical research, responsible for providing both clinical samples and annotated data. There is a need for large numbers of samples to provide statistical power to research studies, especially since treatment and diagnosis are becoming ever more personalized. A single biobank cannot provide sufficient numbers of samples to capture the full spectrum of any disease. Currently there is no infrastructure in the United Kingdom (UK) to integrate biobanks. Therefore the National Cancer Research Institute (NCRI) Confederation of Cancer Biobanks (CCB) Working Group 3 looked to establish a data standard to enable biobanks to communicate about the samples they hold and so facilitate the formation of an integrated national network of biobanks. The Working Group examined the existing data standards available to biobanks, such as the MIABIS standard, and compared these to the aims of the working group. The CCB-developed data standard has brought many improvements: (1) Where existing data standards have been developed, these have been incorporated, ensuring compatibility with other initiatives; (2) the standard was written with the expectation that it will be extended for specific disease areas, such as the Breast Cancer Campaign Tissue Bank (BCCTB) and the Strategic Tissue Repository Alliances Through Unified Methods (STRATUM) project; and (3) biobanks will be able to communicate about specific samples, as well as aggregated statistics.
机译:人体组织生物库是临床研究的中心,负责提供临床样本和注释数据。需要大量样本来为研究提供统计能力,特别是因为治疗和诊断变得越来越个性化。一个生物库无法提供足够数量的样本来捕获任何疾病的全部光谱。目前,英国(英国)没有基础设施来整合生物库。因此,美国国家癌症研究所(NCRI)癌症生物库联合会(CCB)第3工作组希望建立一个数据标准,以使生物库能够交流其持有的样本,从而促进建立一个完整的国家生物库综合网络。工作组审查了生物库可用的现有数据标准,例如MIABIS标准,并将这些标准与工作组的目标进行了比较。由CCB开发的数据标准带来了许多改进:(1)在开发现有数据标准的地方,已将其合并,以确保与其他计划的兼容性; (2)编写该标准的期望是将其扩展到特定疾病领域,例如乳腺癌运动组织银行(BCCTB)和通过统一方法的战略组织知识库联盟(STRATUM)项目; (3)生物库将能够就特定样本以及汇总统计信息进行交流。

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