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The PLCO Biorepository: Creating Maintaining and Administering a Unique Biospecimen Resource

机译:PLCO生物存储库:创建维护和管理独特的生物样本资源

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摘要

Inclusion of biospecimens in population-based studies is an integral part of understanding disease etiology, identifying biomarkers and developing prevention and treatment strategies. The Prostate, Lung, Colorectal, and Ovarian (PLCO) cancer screening trial collected, processed and stored biospecimens from participants to create a biorepository of specimens which serves as a useful resource for a broad research community. PLCO collected blood samples from consented screening arm participants at six screening rounds and a buccal sample from consented control arm participants. In addition, formalin-fixed paraffin embedded tumor tissue specimens were collected for participants in both arms for selected cancer sites. Collection of biospecimens at multiple timepoints (i.e. serial samples) and prior to cancer diagnosis, paired with rich epidemiologic and screening data, makes the PLCO collection of biospecimens a uniquely valuable resource. As such, access to the PLCO biorepository is granted to investigators by a rigorous scientific review process and guided by a steering committee which is responsible for developing and implementing the biospecimen use policies. Here, we describe the procedures for biospecimen collection, processing, storage, requisition, and distribution, as well as data management employed in PLCO. We also provide examples of how the biospecimens have been used to advance cancer research and describe relevant lessons learned to help inform cohorts wishing to add or modify biospecimen collection.
机译:在人群研究中纳入生物标本是理解疾病病因,识别生物标志物以及制定预防和治疗策略的重要组成部分。前列腺癌,肺癌,结肠直肠癌和卵巢癌(PLCO)癌症筛查试验收集,处理和存储了参与者的生物标本,以建立标本的生物储存库,为广泛的研究社区提供有用的资源。 PLCO在六个筛查回合中从同意的筛查参与者中收集血液样本,并从同意的对照臂参与者中获取颊样本。此外,福尔马林固定的石蜡包埋的肿瘤组织标本被收集用于选定癌症部位的双臂。在癌症诊断之前的多个时间点(即连续样本)收集生物样本,再加上丰富的流行病学和筛查数据,使PLCO收集生物样本成为独特的宝贵资源。这样,就可以通过严格的科学审查程序并在指导委员会的指导下对研究人员授予进入PLCO生物存储库的权限,该指导委员会负责制定和实施生物样本使用政策。在这里,我们描述了生物样本收集,处理,存储,征用和分发的程序,以及PLCO中采用的数据管理。我们还提供了一些示例,说明了如何使用生物标本来推进癌症研究,并描述所学到的相关经验教训,以帮助希望增加或修改生物标本集合的队列研究。

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