title: Gene expression-based recurrence prediction of hepatitis B virus-related human hepatocellular carcinoma.
abstract: OBJECTIVE
  The poor prognosis of hepatocellular carcinoma (HCC) is, in part, due to the high rate of recurrence even after "curative resection" of tumors. Therefore, it is axiomatic that the development of an effective prognostic prediction model for HCC recurrence after surgery would, at minimum, help to identify in advance those who would most benefit from the treatment, and at best, provide new therapeutic strategies for patients with a high risk of early recurrence.
  
  
  METHODS
  For the prediction of the recurrence time in patients with HCC, gene expression profiles were generated in 65 HCC patients with hepatitis B infections.
  
  
  RESULTS
  Recurrence-associated gene expression signatures successfully discriminated between patients at high-risk and low-risk of early recurrence (P=1.9 x 10(-6), log-rank test). To test the consistency and robustness of the recurrence signature, we validated its prognostic power in an independent HCC microarray data set. CD24 was identified as a putative biomarker for the prediction of early recurrence. Genetic network analysis suggested that SP1 and peroxisome proliferator-activated receptor-alpha might have regulatory roles for the early recurrence of HCC.
  
  
  CONCLUSIONS
  We have identified a gene expression signature that effectively predicted early recurrence of HCC independent of microarray platforms and cohorts, and provided novel biological insights into the mechanisms of tumor recurrence.
authors.affiliation: Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea.
authors.forename: Hyun Goo
authors.initials: HG
authors.lastname: Woo
authors.forename: Eun Sung
authors.initials: ES
authors.lastname: Park
authors.forename: Jae Hee
authors.initials: JH
authors.lastname: Cheon
authors.forename: Ju Han
authors.initials: JH
authors.lastname: Kim
authors.forename: Ju-Seog
authors.initials: JS
authors.lastname: Lee
authors.forename: Bum Joon
authors.initials: BJ
authors.lastname: Park
authors.forename: Won
authors.initials: W
authors.lastname: Kim
authors.forename: Su Cheol
authors.initials: SC
authors.lastname: Park
authors.forename: Young Jin
authors.initials: YJ
authors.lastname: Chung
authors.forename: Byeong Gwan
authors.initials: BG
authors.lastname: Kim
authors.forename: Jung-Hwan
authors.initials: JH
authors.lastname: Yoon
authors.forename: Hyo-Suk
authors.initials: HS
authors.lastname: Lee
authors.forename: Chung Yong
authors.initials: CY
authors.lastname: Kim
authors.forename: Nam-Joon
authors.initials: NJ
authors.lastname: Yi
authors.forename: Kyung-Suk
authors.initials: KS
authors.lastname: Suh
authors.forename: Kuhn Uk
authors.initials: KU
authors.lastname: Lee
authors.forename: In-Sun
authors.initials: IS
authors.lastname: Chu
authors.forename: Tania
authors.initials: T
authors.lastname: Roskams
authors.forename: Snorri S
authors.initials: SS
authors.lastname: Thorgeirsson
authors.forename: Yoon Jun
authors.initials: YJ
authors.lastname: Kim
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D006528:Carcinoma, Hepatocellular / Q000235:genetics* / Q000473:pathology / Q000821:virology; D015870:Gene Expression; D020869:Gene Expression Profiling; D006515:Hepatitis B virus; D019694:Hepatitis B, Chronic / Q000150:complications / Q000473:pathology; D006801:Humans; D053208:Kaplan-Meier Estimate; D008113:Liver Neoplasms / Q000235:genetics* / Q000473:pathology / Q000821:virology; D009364:Neoplasm Recurrence, Local / Q000235:genetics* / Q000473:pathology / Q000821:virology; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis
chemical_list: D014408:Biomarkers, Tumor