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Biobanking in the Twenty-First Century:Driving Population Metrics into Biobanking Quality

机译:二十一世纪生物银行:将人口指标推向生物管理质量

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摘要

Biospecimens are the essential substrates for human biomarker research. Across the globe, biobanks have developed the facilities and mechanisms to collect, process, store and distribute those substrates to researchers. However, despite some notable successes, less than one hundred of the tens of thousands of purported biomarkers have been independently validated. We propose the need for a new paradigm in biobanking; simply pursuing larger numbers of participants, larger networks of biobanks and higher sample integrity will not, in itself, transform the success rate or efficiency of biomarker research. We propose that biobanks must embrace the intrinsic observational nature of biospecimens and furnish the recipients of biospecimens with the population metrics (descriptive statistics) that can facilitate the scientific rigor that is mandated in other areas of observational research. In addition, we discuss the value of population-based ascertainment and recruitment and the importance of the timing of biospecimen collections. Any assessment of biospecimen quality must go beyond the sample itself and consider both the patient/participant selection and the most appropriate and informative timing for specimen collection, particularly prior to any treatment intervention in diseased populations. The examples and rationales that we present are based largely on cancer-related collections because the feasibility of population metrics is greatly assisted by the comprehensive registries that are more common for cancer than other chronic diseases. Changing the biobanking paradigm from tacitly 'experimental' to explicitly 'observational' represents a profound but urgent methodological shift that will influence the establishment, management, reporting and impact of biobanks in the twenty-first century.
机译:Biopecimens是人生物标志物研究的基本基材。在全球范围内,Biobanks开发了收集,处理,储存和将这些基材分配给研究人员的设施和机制。然而,尽管取得了一些显着的成功,但数千万名据称的生物标志物已经独立验证。我们建议需要在生物库中进行新的范例;简单地追求更多的参与者,更大的Biobanks网络和更高的样本完整性,本身不会改变生物标志物研究的成功率或效率。我们建议Biobanks必须采用生物学中的内在观察性质,并提供生物学中的受体,与人口指标(描述性统计数据)促进在其他观察研究领域所强制的科学严格。此外,我们讨论了基于人口的确定和招聘以及生物学中的时序的重要性。任何对生物学中的评估都必须超出样本本身,并考虑患者/参与者选择以及标本收集的最合适和信息性的时序,特别是在患病群体的任何治疗干预之前。我们呈现的示例和理由主要是基于癌症相关的收集,因为人口指标的可行性是由癌症更常见的综合登记术而不是其他慢性疾病。从默示的“实验”改变生物管理范式以明确地“观察”代表了一种深刻但紧急的方法转变,这将影响二十一世纪生物人物的建立,管理,报告和影响。

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