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Gene expression-based recurrence prediction of hepatitis B virus-related human hepatocellular carcinoma

Authors
 Hyun GooWoo  ;  Eun Sung Park  ;  Jae Hee Cheon  ;  Ju Han Kim  ;  Ju-Seog Lee  ;  BumJoon Park  ;  Won Kim  ;  Su Cheol Park  ;  YoungJin Chung  ;  Byeong Gwan Kim  ;  Jung-HwanYoon  ;  Hyo-Suk Lee  ;  ChungYong Kim  ;  Nam-JoonYi  ;  Kyung-Suk Suh  ;  Kuhn Uk Lee  ;  In-Sun Chu  ;  Tania Roskams  ;  Snorri S.Thorgeirsson  ;  YoonJun Kim 
Citation
 CLINICAL CANCER RESEARCH, Vol.14(7) : 2056-2064, 2008 
Journal Title
 CLINICAL CANCER RESEARCH 
ISSN
 1078-0432 
Issue Date
2008
MeSH
Biomarkers, Tumor/genetics* ; Carcinoma, Hepatocellular/genetics* ; Carcinoma, Hepatocellular/pathology ; Carcinoma, Hepatocellular/virology ; Gene Expression* ; Gene Expression Profiling ; Hepatitis B virus ; Hepatitis B, Chronic/complications ; Hepatitis B, Chronic/pathology ; Humans ; Kaplan-Meier Estimate ; Liver Neoplasms/genetics* ; Liver Neoplasms/pathology ; Liver Neoplasms/virology ; Neoplasm Recurrence, Local/genetics* ; Neoplasm Recurrence, Local/pathology ; Neoplasm Recurrence, Local/virology ; Oligonucleotide Array Sequence Analysis ; Prognosis
Keywords
Biomarkers, Tumor/genetics* ; Carcinoma, Hepatocellular/genetics* ; Carcinoma, Hepatocellular/pathology ; Carcinoma, Hepatocellular/virology ; Gene Expression* ; Gene Expression Profiling ; Hepatitis B virus ; Hepatitis B, Chronic/complications ; Hepatitis B, Chronic/pathology ; Humans ; Kaplan-Meier Estimate ; Liver Neoplasms/genetics* ; Liver Neoplasms/pathology ; Liver Neoplasms/virology ; Neoplasm Recurrence, Local/genetics* ; Neoplasm Recurrence, Local/pathology ; Neoplasm Recurrence, Local/virology ; Oligonucleotide Array Sequence Analysis ; Prognosis
Abstract
PURPOSE: 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. EXPERIMENTAL DESIGN: For the prediction of the recurrence time in patients with HCC, gene expression profiles were generated in 65 HCC patients with hepatitis B infections. RESULT: 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. CONCLUSION: 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
Files in This Item:
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DOI
10.1158/1078-0432.CCR-07-1473
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
5. Research Institutes (연구소) > Institute for Medical Convergence (연의-생공연 메디컬융합연구소) > 1. Journal Papers
Yonsei Authors
Park, Eun Sung(박은성)
Cheon, Jae Hee(천재희) ORCID logo https://orcid.org/0000-0002-2282-8904
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/106659
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