Genomics Inform.  2015 Sep;13(3):86-89. 10.5808/GI.2015.13.3.86.

A Database of Gene Expression Profiles of Korean Cancer Genome

• Kim SK
• Chu IS

• KMID: 2166520
• DOI: http://doi.org/10.5808/GI.2015.13.3.86

Abstract

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.

Keyword

biological markers; database; genomics; Korean; neoplasms; prognosis

MeSH Terms

Computational Biology
Gene Expression*
Genome*
Genomics
Humans
Prognosis
Proportional Hazards Models
Transcriptome*
Treatment Outcome
Biomarkers