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A model for the design and construction of a resource for the validation of prognostic prostate cancer biomarkers: the Canary Prostate Cancer Tissue Microarray

机译:预后前列腺癌生物标志物验证的资源设计与构建模型:金丝雀前列腺癌组织微阵列

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摘要

Tissue microarrays provide unique resources for rapid evaluation and validation of tissue biomarkers. The Canary Foundation Retrospective Prostate Tissue Microarray Resource used a rigorous statistical design, quota sampling, a variation of the case-cohort study, to select patients for inclusion in a multicenter, retrospective prostate cancer tissue microarray cohort. The study is designed to definitively validate tissue biomarkers of prostate cancer recurrence after radical prostatectomy. Tissue samples from over 1,000 participants treated for prostate cancer with radical prostatectomy between 1995 and 2004 were selected at six participating institutions in the United States and Canada. This design captured the heterogeneity of screening and clinical practices in the contemporary North American population. Standardized clinical data were collected in a centralized database. The project has been informative in several respects. The scale and complexity of assembling tissue microarrays (TMAs) with over 200 cases at each of six sites involved unanticipated levels of effort and time. Our statistical design promises to provide a model for outcome-based studies where tissue localization methods are applied to high-density tissue microarrays.
机译:组织微阵列为快速评估和验证组织生物标志物提供了独特的资源。 Canary Foundation回顾性前列腺组织微阵列资源采用了严格的统计设计,定额抽样和案例研究的变体,以选择要纳入多中心回顾性前列腺癌组织微阵列队列的患者。该研究旨在明确验证根治性前列腺切除术后前列腺癌复发的组织生物标志物。在1995年至2004年之间,从美国和加拿大的6个参与机构中选择了1,000多名接受过前列腺癌根治术治疗的参与者的组织样本。该设计捕获了当代北美人口中筛查和临床实践的异质性。标准化的临床数据收集在中央数据库中。该项目在多个方面都提供了丰富的信息。在六个地点中的每一个地点都有200多个病例的组装组织微阵列(TMA)的规模和复杂性涉及意想不到的工作量和时间。我们的统计设计有望为基于结果的研究提供模型,在该研究中,将组织定位方法应用于高密度组织微阵列。

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