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Convergence of College of American Pathologists (CAP) protocol model and North American Association of Central Cancer Registry (NAACCR) elements for the development and deployment of common data elements: an emerging standard for mesothelioma virtual biorepository.

Mohanty-SK; Patel-AA; Taioli-E; Milliken-E; Kim-P; Nancy-WB; Parwani-AV; Dhir-R; Becich-MJ
Mod Path 2007 Feb; 20(Suppl 2):326A-327A
Background: The rise of molecular and systems biology in medicine is driving development of well annotated and properly characterized bio-repositories to provide tissue to support translational research. Clinical annotation of tissue samples - is central to the success of these repositories as such annotation allows samples can be better matched to the research question at hand and experimental results better understood and verified. To facilitate and standardize clinical annotation in bio-repositories, we have combined two accepted and complementary sets of data standards, the CAP (pathology data) and NAACCR elements (epidemiology, therapy and progression). Combining these approaches one can create a set of ISO-compliant common data elements (CDE) for oncology tissue banking. Design: The purpose of the project is to develop a core set of annotation data elements for mesothelioma based on the elements from CAP protocol and the NAACCR checklist. We have associated these elements using modeling architecture to enhance both syntactic and semantic interoperability. The system has an Oracle based three-tiered architecture. The application uses the http server to generate dynamic pages from the database to the users. Results: We have developed the CDEs for the tissue banks using controlled vocabulary, ontology and semantic modeling methodology. The CDEs included for each case are of different types that include demographic & epidemiologic data, clinical history, pathology data including block level annotation, and outcome data including treatment, recurrence and vital status. Conclusions: The CAP and the NAACCR elements represent widely established data elements that are used in many cancer centers. Herein we have shown that these representations can be combined and formalized to create a core set of annotation for banked mesothelioma specimens. Because these data elements are collected as part of the normal workflow of a medical center, data sets developed on the basis of these elements can be easily implemented and maintained.
Cancer; Laboratory-testing; Information-systems; Pathology; Biomarkers; Computer-software
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Modern Pathology
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University of Pittsburgh at Pittsburgh