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Title 

Gene expression profiling of human HBV- and/or HCV-associated hepatocellular carcinoma cells using expressed sequence tags

Authors 

Sun Young YoonJ M KimJ H OhYeo-Jin JeonDong Seok LeeJ H KimJ Y ChoiB M AhnS KimHyang Sook YooYong Sung KimNam-Soon Kim

Publisher 

Spandidos Publications

Issue Date 

2006

Citation 

International Journal of Oncology, vol. 29, no. 2, pp. 315-327

Keywords 

expressed sequence tagliver cell carcinomatumor cell linecarcinoma, hepatocellularcell line, tumorexpressed sequence tagsoligonucleotide array sequence analysis

Abstract 

Liver cancer is one of the leading causes of cancer death worldwide. To identify novel target genes that are related to liver carcinogenesis, we examined new genes that are differentially expressed in human hepatocellular carcinoma (HCC) cell lines and tissues based on the expressed sequence tag (EST) frequency. Eleven libraries were constructed from seven HCC cell lines and three normal liver tissue samples obtained from Korean patients. An analysis of gene expression profiles for HCC was performed using the frequency of ESTs obtained from these cDNA libraries. Genes were identified (n=120) as being either up- or down-regulated in human liver cancer cells. Among these, 14 genes (FTL, K-ALPHA1, LDHA, RPL4, ENO1, ANXA2, RPL9, RPL10, RPL13A, GNB2L1, AMBP, GC, A1BG, and SERPINC1), in addition to previously well-known liver cancer related genes, were confirmed to be differentially expressed in seven liver cancer cell lines and 17 HCC tissues by semi-quantitative RT-PCR. In addition, 73 genes, in which there was a significant difference (P>0.99) between HBV- and HCV-associated HCC cells, were selected. of these, expression patterns of 14 (RPLP0, AKR1C, KRT8, GPX4, RPS15, ID1, RPS21, VIM, EEF1G, EIF4A1, HLA-C, FN1, CD44, and RPS10) were confirmed by semi-quantitative RT-PCR in four of HBV- and three of HCV-associated HCC cell lines. Among those genes, an immunohistochemical analysis for ANXA2 showed that it is expressed at high levels in HCC. Using an analysis of EST frequency, the newly identified genes, especially ANXA2, represent potential biomarkers for HCC and useful targets for elucidating the molecular mechanisms associated with HCC involving virological etiology.

ISSN 

1019-6439

Link 

http://dx.doi.org/10.3892/ijo.29.2.315

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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