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Exploring genomic profiles of hepatocellular carcinoma

Authors
 Hyun Goo Woo  ;  Eun Sung Park  ;  Snorri S. Thorgeirsson  ;  Yoon Jun Kim 
Citation
 MOLECULAR CARCINOGENESIS, Vol.50(4) : 235-243, 2011 
Journal Title
MOLECULAR CARCINOGENESIS
ISSN
 0899-1987 
Issue Date
2011
MeSH
Biomarkers, Tumor/genetics ; Carcinoma, Hepatocellular/genetics* ; Carcinoma, Hepatocellular/pathology ; Gene Expression Profiling* ; Genetic Association Studies ; Genetic Predisposition to Disease/genetics ; Humans ; Liver Neoplasms/genetics* ; Liver Neoplasms/pathology ; Models, Genetic ; Oligonucleotide Array Sequence Analysis/methods*
Keywords
signature ; microarray ; integrative analysis ; hepatocellular carcinoma.
Abstract
Gene expression profiling using microarray technologies provides a powerful approach to understand complex biological systems and the pathogenesis of diseases. In the field of liver cancer research, a number of genome-wide profiling studies have been published. These studies have provided gene sets, that is, signature, which could classify tumors and predict clinical outcomes such as survival, recurrence, and metastasis. More recently, the application of genomic profiling has been extended to identify molecular targets, pathways, and the cellular origins of the tumors. Systemic and integrative analyses of multiple data sets and emerging new technologies also accelerate the progress of the cancer genomic studies. Here, we review the genomic signatures identified from the genomic profiling studies of hepatocellular carcinoma (HCC), and categorize and characterize them into prediction, phenotype, function, and molecular target signatures according to their utilities and properties. Our classification of the signatures would be helpful to understand and design studies with extended application of genomic profiles.
Files in This Item:
T201105308.pdf Download
DOI
10.1002/mc.20691
Appears in Collections:
1. College of Medicine (의과대학) > Research Institute (부설연구소) > 1. Journal Papers
Yonsei Authors
Park, Eun Sung(박은성)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/95112
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