암 연구 Common Data Element에 기반한 Microarray Gene Expression-Object Model과 Clinical Document Architecture의 연동

박유랑1), 박지연1), 김세영1), 서화정1), 이정애1), 김주한*1)

1)서울대학교 의과대학 생명의료정보학

Abstract : Microarray is capable of profiling gene expression patterns of tens of thousands of genes in single experiment. To assess the relevance of microarray analysis it is required to combine clinical and genomics information. In order to meet the growing need for improved data communication between clinical and microarray data, it is necessary to overcome the barriers of data heterogeneity and lack of standards. The MAGE-OM (Microarray Gene Expression Object Model) is a data exchange model, which attempts to define standard objects for gene expression. MAGE-OM, however, cannot provide a model for the clinical data of source. HL7's CDA (Clinical Document Architecture) is the document model for exchange of clinical information using XML. In this study, we show NCICB (National Cancer Institute Center for Bioinformatics) CDE (Common Data Element) based CDA template modeling for integration of MAGE-OM and CDA. First, we extract data elements in clinical data from 118 lung cancer sources. Second, we develop the structured model using these elements based on the CDE. Third, we link MAGE-OM to CDA using a BioSource class, which describes the original biomaterial in the MAGE-OM. Although there still remain technical and organizational issues to be solved, this is a promising method in order to represent a source's clinical data in standard structured format like CDA.
keyword : MAGE-OM, CDA, CDE, CDA Template modeling

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