Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma

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dc.contributor.authorS M Kim-
dc.contributor.authorS H Leem-
dc.contributor.authorIn-Sun Chu-
dc.contributor.authorY Y Park-
dc.contributor.authorS C Kim-
dc.contributor.authorS B Kim-
dc.contributor.authorE S Park-
dc.contributor.authorJ Y Lim-
dc.contributor.authorJ Heo-
dc.contributor.authorY J Kim-
dc.contributor.authorD G Kim-
dc.contributor.authorA Kaseb-
dc.contributor.authorY N Park-
dc.contributor.authorX W Wang-
dc.contributor.authorS S Thorgeirsson-
dc.contributor.authorJ S Lee-
dc.date.accessioned2017-04-19T09:32:08Z-
dc.date.available2017-04-19T09:32:08Z-
dc.date.issued2012-
dc.identifier.issn0270-9139-
dc.identifier.uri10.1002/hep.24813ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/10791-
dc.description.abstractClinical application of the prognostic gene expression signature has been delayed due to the large number of genes and complexity of prediction algorithms. In the current study we aimed to develop an easy-to-use risk score with a limited number of genes that can robustly predict prognosis of patients with hepatocellular carcinoma (HCC). The risk score was developed using Cox coefficient values of 65 genes in the training set (n = 139) and its robustness was validated in test sets (n = 292). The risk score was a highly significant predictor of overall survival (OS) in the first test cohort (P = 5.6 × 10 -5, n = 100) and the second test cohort (P = 5.0 × 10 -5, n = 192). In multivariate analysis, the risk score was a significant risk factor among clinical variables examined together (hazard ratio [HR], 1.36; 95% confidence interval [CI], 1.13-1.64; P = 0.001 for OS). Conclusion: The risk score classifier we have developed can identify two clinically distinct HCC subtypes at early and late stages of the disease in a simple and highly reproducible manner across multiple datasets.-
dc.publisherWiley-
dc.titleSixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma-
dc.title.alternativeSixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma-
dc.typeArticle-
dc.citation.titleHepatology-
dc.citation.number5-
dc.citation.endPage1452-
dc.citation.startPage1443-
dc.citation.volume55-
dc.contributor.affiliatedAuthorIn-Sun Chu-
dc.contributor.alternativeName김수미-
dc.contributor.alternativeName임선희-
dc.contributor.alternativeName추인선-
dc.contributor.alternativeName박윤용-
dc.contributor.alternativeName김상철-
dc.contributor.alternativeName김상배-
dc.contributor.alternativeName박은성-
dc.contributor.alternativeName임재윤-
dc.contributor.alternativeName허정훈-
dc.contributor.alternativeName김윤준-
dc.contributor.alternativeName김대건-
dc.contributor.alternativeNameKaseb-
dc.contributor.alternativeName박영년-
dc.contributor.alternativeNameWang-
dc.contributor.alternativeNameThorgeirsson-
dc.contributor.alternativeName이주석-
dc.identifier.bibliographicCitationHepatology, vol. 55, no. 5, pp. 1443-1452-
dc.identifier.doi10.1002/hep.24813-
dc.description.journalClassY-
Appears in Collections:
Division of Biomedical Research > Metabolic Regulation Research Center > 1. Journal Articles
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