Identification of frequent cytogenetic aberrations in hepatocellular carcinoma using gene-expression microarray data.

ABSTRACT: BACKGROUND:Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Frequent cytogenetic abnormalities that occur in HCC suggest that tumor-modifying genes (oncogenes or tumor suppressors) may be driving selection for amplification or deletion of these particular genetic regions. In many cases, however, the gene(s) that drive the selection are unknown. Although techniques such as comparative genomic hybridization (CGH) have traditionally been used to identify cytogenetic aberrations, it might also be possible to identify them indirectly from gene-expression studies. A technique we have called comparative genomic microarray analysis (CGMA) predicts regions of cytogenetic change by searching for regional gene-expression biases. CGMA was applied to HCC gene-expression profiles to

SUBMITTER: Crawley JJ 

PROVIDER: S-EPMC151177 | biostudies-literature | 2002

REPOSITORIES: biostudies-literature