Comparison of pathways associated with hepatitis B- and C-infected hepatocellular carcinoma using pathway-based class discrimination method

Sun Young Lee, Kwang Hoon Song, Imhoi Koo, Kee Ho Lee, Kyung Suk Suh, Bu Yeo Kim

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Molecular signatures causing hepatocellular carcinoma (HCC) from chronic infection of hepatitis B virus (HBV) or hepatitis C virus (HCV) are not clearly known. Using microarray datasets composed of HCV-positive HCC or HBV-positive HCC, pathways that could discriminate tumor tissue from adjacent non-tumor liver tissue were selected by implementing nearest shrunken centroid algorithm. Cancer-related signaling pathways and lipid metabolism-related pathways were predominantly enriched in HCV-positive HCC, whereas functionally diverse pathways including immune-related pathways, cell cycle pathways, and RNA metabolism pathways were mainly enriched in HBV-positive HCC. In addition to differentially involved pathways, signaling pathways such as TGF-β, MAPK, and p53 pathways were commonly significant in both HCCs, suggesting the presence of common hepatocarcinogenesis process. The pathway clustering also verified segregation of pathways into the functional subgroups in both HCCs. This study indicates the functional distinction and similarity on the pathways implicated in the development of HCV- and/or HBV-positive HCC.

Original languageEnglish (US)
Pages (from-to)347-354
Number of pages8
JournalGenomics
Volume99
Issue number6
DOIs
StatePublished - Jun 1 2012

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Hepatitis C
Hepatitis B
Hepatocellular Carcinoma
Hepatitis B virus
Hepacivirus
Chronic Hepatitis B
Lipid Metabolism
Cluster Analysis
Neoplasms
Cell Cycle
RNA
Liver
Infection

All Science Journal Classification (ASJC) codes

  • Genetics

Cite this

Lee, Sun Young ; Song, Kwang Hoon ; Koo, Imhoi ; Lee, Kee Ho ; Suh, Kyung Suk ; Kim, Bu Yeo. / Comparison of pathways associated with hepatitis B- and C-infected hepatocellular carcinoma using pathway-based class discrimination method. In: Genomics. 2012 ; Vol. 99, No. 6. pp. 347-354.
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abstract = "Molecular signatures causing hepatocellular carcinoma (HCC) from chronic infection of hepatitis B virus (HBV) or hepatitis C virus (HCV) are not clearly known. Using microarray datasets composed of HCV-positive HCC or HBV-positive HCC, pathways that could discriminate tumor tissue from adjacent non-tumor liver tissue were selected by implementing nearest shrunken centroid algorithm. Cancer-related signaling pathways and lipid metabolism-related pathways were predominantly enriched in HCV-positive HCC, whereas functionally diverse pathways including immune-related pathways, cell cycle pathways, and RNA metabolism pathways were mainly enriched in HBV-positive HCC. In addition to differentially involved pathways, signaling pathways such as TGF-β, MAPK, and p53 pathways were commonly significant in both HCCs, suggesting the presence of common hepatocarcinogenesis process. The pathway clustering also verified segregation of pathways into the functional subgroups in both HCCs. This study indicates the functional distinction and similarity on the pathways implicated in the development of HCV- and/or HBV-positive HCC.",
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Comparison of pathways associated with hepatitis B- and C-infected hepatocellular carcinoma using pathway-based class discrimination method. / Lee, Sun Young; Song, Kwang Hoon; Koo, Imhoi; Lee, Kee Ho; Suh, Kyung Suk; Kim, Bu Yeo.

In: Genomics, Vol. 99, No. 6, 01.06.2012, p. 347-354.

Research output: Contribution to journalArticle

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