Identification of molecular markers for the oncogenic differentiation of hepatocellular carcinoma

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Title
Identification of molecular markers for the oncogenic differentiation of hepatocellular carcinoma
Author(s)
G R Yu; S H Kim; S H Park; X D Cui; D Y Xu; H C Yu; B H Cho; Young Il Yeom; S S Kim; S B Kim; In-Sun Chu; D G Kim
Bibliographic Citation
Experimental and Molecular Medicine, vol. 39, no. 5, pp. 641-652
Publication Year
2007
Abstract
The aim of this study was to identify molecular markers associated with oncogenic differentiation in hepatocellular carcinoma (HCC). Using an unsupervised clustering method with a cDNA microarray, HCC (T) gene expression profiles and corresponding non-tumor tissues (NT) from 40 patients were analyzed. of total 217 genes, 72 were expressed preferentially in HCC tissues. Among 186 differentially regulated genes, there were molecular chaperone and tumor suppressor gene clusters in the Edmondson grades I and II (GI/II) subclass compared with the liver cirrhosis (LC) subclass. The Edmondson grades III and IV (GIII/IV) subclass with a poor survival (P = 0.0133) contained 122 differentially regulated genes with a cluster containing various metastasis- and invasion-related genes compared with the GI/II subclass. Immunohistochemical analysis revealed that ANXA2, one of the 72 genes preferentially expressed in HCC, was over-expressed in the sinusoidal endothelium and in malignant hepatocytes in HCC. The genes identified in the HCC subclasses will be useful molecular markers for the genesis and progression of HCC. In addition, ANXA2 might be a novel marker for tumor angiogenesis in HCC.
Keyword
AngiogenesisCarcinoma, hepatocellularCell differentiationGene expression profilingTumor markers, biological
ISSN
I000-0028
Publisher
Springer-Nature Pub Group
DOI
http://dx.doi.org/10.1038/emm.2007.70
Type
Article
Appears in Collections:
Division of Biomedical Research > Personalized Genomic Medicine Research Center > 1. Journal Articles
Division of Biomedical Research > Genome Editing Research Center > 1. Journal Articles
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