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Article

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

Hepatology (Baltimore, Md.) - 1 May 2012

Kim Soo Mi, Leem Sun-Hee, Chu In-Sun, Park Yun-Yong, Kim Sang Cheol, Kim Sang-Bae, Park Eun Sung, Lim Jae Yun, Heo Jeonghoon, Kim Yoon Jun, Kim Dae-Ghon, Kaseb Ahmed, Park Young Nyun, Wang Xin Wei, Thorgeirsson Snorri S, Lee Ju-Seog

Abstract excerpt

UNLABELLED: Clinical 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...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 22105560
DOI: 10.1002/hep.24813
PMCID: PMC4060518

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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