Original Research

BioChip Journal

, Volume 7, Issue 1, pp 57-62

Identification of cancer-specific biomarkers by using microarray gene expression profiling

  • Jin Choul ChaiAffiliated withDivision of Molecular & Life Sciences, Hanyang University
  • , Soojun ParkAffiliated withBio-Medical IT Convergence Research Department, ETRI
  • , Hyemyung SeoAffiliated withDivision of Molecular & Life Sciences, Hanyang University
  • , Soo Young ChoAffiliated withCollege of Veterinary Medicine, Institute for Bioinformatics, Bio MAX Institute, Seoul National University Email author 
  • , Young Seek LeeAffiliated withDivision of Molecular & Life Sciences, Hanyang University Email author 

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Carcinogenesis is a complex biological process that is affected by multiple genes, some of which can be used as biomarkers for specific tumor stages or types. An effective method for predicting such tumor markers, which are important for both diagnosis and prevention, is gene expression profiling. Here, we used a classification method and survival tests to predict cancer biomarker genes from individual cancer gene expression profiles. To validate the ability of classification in our samples, an area under the curve was calculated using support vector machine classification methods for selected genes. Twenty-three of the candidate biomarkers were correlated with patient survival. To confirm classification performance in other samples, we validated our results by comparison with breast and ovarian cancer samples. We conclude that these 23 genes might be used as cancer biomarkers.


Cancer biomarker Bioinformatics Classification Meta-analysis Gene expression profile