title: Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma.
abstract: 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 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).
  
  
  CONCLUSIONS
  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.
authors: Department of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA.
authors: Soo Mi
authors: SM
authors: Kim
authors: Sun-Hee
authors: SH
authors: Leem
authors: In-Sun
authors: IS
authors: Chu
authors: Yun-Yong
authors: YY
authors: Park
authors: Sang Cheol
authors: SC
authors: Kim
authors: Sang-Bae
authors: SB
authors: Kim
authors: Eun Sung
authors: ES
authors: Park
authors: Jae Yun
authors: JY
authors: Lim
authors: Jeonghoon
authors: J
authors: Heo
authors: Yoon Jun
authors: YJ
authors: Kim
authors: Dae-Ghon
authors: DG
authors: Kim
authors: Ahmed
authors: A
authors: Kaseb
authors: Young Nyun
authors: YN
authors: Park
authors: Xin Wei
authors: XW
authors: Wang
authors: Snorri S
authors: SS
authors: Thorgeirsson
authors: Ju-Seog
authors: JS
authors: Lee
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D019540:Area Under Curve; D006528:Carcinoma, Hepatocellular / Q000235:genetics* / Q000401:mortality* / Q000473:pathology; D015331:Cohort Studies; D016208:Databases, Factual; D018572:Disease-Free Survival; D005260:Female; D020869:Gene Expression Profiling / Q000145:classification*; D015972:Gene Expression Regulation, Neoplastic; D020022:Genetic Predisposition to Disease / Q000453:epidemiology*; D006801:Humans; D053208:Kaplan-Meier Estimate; D008113:Liver Neoplasms / Q000235:genetics* / Q000401:mortality* / Q000473:pathology; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D016016:Proportional Hazards Models; D012372:ROC Curve; D018570:Risk Assessment; D016019:Survival Analysis; D055815:Young Adult