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Exploring genomic profiles of hepatocellular carcinoma

Authors
Woo, HG; Park, ES; Thorgeirsson, SS; Kim, YJ
Citation
Molecular carcinogenesis, 50(4):235-243, 2011
Journal Title
Molecular carcinogenesis
ISSN
0899-19871098-2744
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.
MeSH terms
Carcinoma, Hepatocellular/*genetics/pathology*Gene Expression ProfilingGenetic Association StudiesGenetic Predisposition to Disease/geneticsHumansLiver Neoplasms/*genetics/pathologyModels, GeneticOligonucleotide Array Sequence Analysis/*methodsTumor Markers, Biological/genetics
DOI
10.1002/mc.20691
PMID
21465573
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Physiology
AJOU Authors
우, 현구
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