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10 May 2001, Volume 20, Number 21, Pages 2704-2712
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Original Paper
Expression profiling and identification of novel genes in hepatocellular carcinomas
Carrie R Graveel1, Tim Jatkoe2, Steven J Madore2, Alison L Holt1 and Peggy J Farnham1

1McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin, WI 53706, USA

2Genomics and Bioinformatics, Pfizer Inc, Ann Arbor, Michigan, MI 48105, USA

Correspondence to: PJ Farnham, McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin, WI 53706, USA

Abstract

Liver cancer is the fifth most common cancer worldwide and unlike certain other cancers, such as colon cancer, a mutational model has not yet been developed. We have performed gene expression profiling of normal and neoplastic livers in C3H/HeJ mice treated with diethylnitrosamine. Using oligonucleotide microarrays, we compared gene expression in liver tumors to three different states of the normal liver: quiescent adult, regenerating adult, and newborn. Although each comparison revealed hundreds of differentially expressed genes, only 22 genes were found to be deregulated in the tumors in all three comparisons. Three of these genes were examined in human hepatocellular carcinomas and were found to be upregulated. As a second method of analysis, we used Representational Difference Analysis (RDA) to clone mRNA fragments differentially expressed in liver tumors versus regenerating livers. We cloned several novel mRNAs that are differentially regulated in murine liver tumors. Here we report the sequence of a novel cDNA whose expression is upregulated in both murine and human hepatocellular carcinomas. Our results suggest that DEN-treated mice provide an excellent model for human hepatocellular carcinomas. Oncogene (2001) 20, 2704-2712.

Keywords

hepatocellular carcinoma; representational difference analysis; expression profiling; oligonucleotide microarrays

Received 6 November 2000; revised 7 February 2001; accepted 12 February 2001
10 May 2001, Volume 20, Number 21, Pages 2704-2712
Table of contents    Previous  Abstract  Next   Full text  PDF
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