Gene expression patterns in human liver cancers

Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Using cDNA microarrays to characterize patterns of gene expression in HCC, we found consistent differences between the expression patterns in HCC compared with those seen in nontumor liver tissues. The expression patterns in HCC w...

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Bibliographic Details
Published in:Molecular biology of the cell 2002-06, Vol.13 (6), p.1929-1939
Main Authors: Chen, Xin, Cheung, Siu Tim, So, Samuel, Fan, Sheung Tat, Barry, Christopher, Higgins, John, Lai, Kin-Man, Ji, Jiafu, Dudoit, Sandrine, Ng, Irene O L, Van De Rijn, Matt, Botstein, David, Brown, Patrick O
Format: Article
Language:English
Subjects:
Carcinoma, Hepatocellular - epidemiology
Carcinoma, Hepatocellular - genetics
Carcinoma, Hepatocellular - pathology
Cell Division - genetics
Gene Expression Regulation, Neoplastic
Genes, p53
Genetic Variation
Genotype
Humans
Liver - physiology
Liver Neoplasms - epidemiology
Liver Neoplasms - genetics
Liver Neoplasms - pathology
Oligonucleotide Array Sequence Analysis
RNA, Neoplasm - genetics
RNA, Neoplasm - isolation & purification
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Summary:Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Using cDNA microarrays to characterize patterns of gene expression in HCC, we found consistent differences between the expression patterns in HCC compared with those seen in nontumor liver tissues. The expression patterns in HCC were also readily distinguished from those associated with tumors metastatic to liver. The global gene expression patterns intrinsic to each tumor were sufficiently distinctive that multiple tumor nodules from the same patient could usually be recognized and distinguished from all the others in the large sample set on the basis of their gene expression patterns alone. The distinctive gene expression patterns are characteristic of the tumors and not the patient; the expression programs seen in clonally independent tumor nodules in the same patient were no more similar than those in tumors from different patients. Moreover, clonally related tumor masses that showed distinct expression profiles were also distinguished by genotypic differences. Some features of the gene expression patterns were associated with specific phenotypic and genotypic characteristics of the tumors, including growth rate, vascular invasion, and p53 overexpression.
ISSN:1059-1524
DOI:10.1091/mbc.02-02-0023