A Database of Gene Expression Profiles of Korean Cancer Genome

• Main Authors: Seon-Kyu Kim, In-Sun Chu
• Format: Article
• Language: English
• Published: Korea Genome Organization 2015-09-01
• Series: Genomics & Informatics
• Subjects: biological markers; database; genomics; Korean; neoplasms; prognosis
• Online Access: http://genominfo.org/upload/pdf/gni-13-86.pdf

Because there are clear molecular differences entailing different treatment effectiveness between Korean and non-Korean cancer patients, identifying distinct molecular characteristics of Korean cancers is profoundly important. Here, we report a web-based data repository, namely Korean Cancer Genome Database (KCGD), for searching gene signatures associated with Korean cancer patients. Currently, a total of 1,403 cancer genomics data were collected, processed and stored in our repository, an ever-growing database. We incorporated most widely used statistical survival analysis methods including the Cox proportional hazard model, log-rank test and Kaplan-Meier plot to provide instant significance estimation for searched molecules. As an initial repository with the aim of Korean-specific marker detection, KCGD would be a promising web application for users without bioinformatics expertise to identify significant factors associated with cancer in Korean.