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Advances in Anatomic Pathology:
doi: 10.1097/PAP.0b013e31827b665b
Review Articles

A Model for the Design and Construction of a Resource for the Validation of Prognostic Prostate Cancer Biomarkers: The Canary Prostate Cancer Tissue Microarray

Hawley, Sarah MS*; Fazli, Ladan MD; McKenney, Jesse K. MD; Simko, Jeff MD, PhD§,∥,¶; Troyer, Dean MD#,**,††; Nicolas, Marlo MD††; Newcomb, Lisa F. PhD‡‡; Cowan, Janet E. MA§; Crouch, Luis MS§§; Ferrari, Michelle RN∥∥; Hernandez, Javier MD¶¶; Hurtado-Coll, Antonio MD; Kuchinsky, Kyle BS§; Liew, Janet BS; Mendez-Meza, Rosario HT (ASCP)††; Smith, Elizabeth MS#,**; Tenggara, Imelda MD§; Zhang, Xiaotun MD‡‡; Carroll, Peter R. MD, MPH∥,¶; Chan, June M. ScD∥,¶,##; Gleave, Martin MD; Lance, Raymond MD***; Lin, Daniel W. MD‡‡; Nelson, Peter S. MD†††; Thompson, Ian M. MD¶¶; Feng, Ziding PhD‡‡‡; True, Lawrence D. MD§§§; Brooks, James D. MD∥∥

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Abstract

Tissue microarrays (TMAs) 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 TMA cohort. The study is designed to definitively validate tissue biomarkers of prostate cancer recurrence after radical prostatectomy. Tissue samples from over 1000 participants treated for prostate cancer with radical prostatectomy between 1995 and 2004 were selected at 6 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 TMAs with over 200 cases at each of 6 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 TMAs.

© 2013 Lippincott Williams & Wilkins, Inc.

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