title: Differential gene expression profiles of hepatocellular carcinomas associated or not with viral infection.
abstract: Chronic hepatitis B (HBV) and C (HCV) virus infections are the most important factors associated with hepatocellular carcinoma (HCC), but tumor prognosis remains poor due to the lack of diagnostic biomarkers. In order to identify novel diagnostic markers and therapeutic targets, the gene expression profile associated with viral and non-viral HCC was assessed in 9 tumor samples by oligo-microarrays. The differentially expressed genes were examined using a z-score and KEGG pathway for the search of ontological biological processes. We selected a non-redundant set of 15 genes with the lowest P value for clustering samples into three groups using the non-supervised algorithm k-means. Fisher's linear discriminant analysis was then applied in an exhaustive search of trios of genes that could be used to build classifiers for class distinction. Different transcriptional levels of genes were identified in HCC of different etiologies and from different HCC samples. When comparing HBV-HCC vs HCV-HCC, HBV-HCC/HCV-HCC vs non-viral (NV)-HCC, HBC-HCC vs NV-HCC, and HCV-HCC vs NV-HCC of the 58 non-redundant differentially expressed genes, only 6 genes (IKBKbeta, CREBBP, WNT10B, PRDX6, ITGAV, and IFNAR1) were found to be associated with hepatic carcinogenesis. By combining trios, classifiers could be generated, which correctly classified 100% of the samples. This expression profiling may provide a useful tool for research into the pathophysiology of HCC. A detailed understanding of how these distinct genes are involved in molecular pathways is of fundamental importance to the development of effective HCC chemoprevention and treatment.
authors.affiliation: Departamento de Gastroenterologia (LIM 37/LIM 07), Universidade de São Paulo, São Paulo, SP, Brasil. martaprivato@hotmail.com
authors.forename: M
authors.initials: M
authors.lastname: Bellodi-Privato
authors.forename: M S
authors.initials: MS
authors.lastname: Kubrusly
authors.forename: J T
authors.initials: JT
authors.lastname: Stefano
authors.forename: I C
authors.initials: IC
authors.lastname: Soares
authors.forename: A
authors.initials: A
authors.lastname: Wakamatsu
authors.forename: A C
authors.initials: AC
authors.lastname: Oliveira
authors.forename: V A F
authors.initials: VA
authors.lastname: Alves
authors.forename: T
authors.initials: T
authors.lastname: Bacchella
authors.forename: M C C
authors.initials: MC
authors.lastname: Machado
authors.forename: L A C
authors.initials: LA
authors.lastname: D'Albuquerque
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics; D006528:Carcinoma, Hepatocellular / Q000235:genetics* / Q000821:virology; D020224:Expressed Sequence Tags; D020869:Gene Expression Profiling; D006509:Hepatitis B / Q000150:complications*; D006526:Hepatitis C / Q000150:complications*; D006801:Humans; D008113:Liver Neoplasms / Q000235:genetics* / Q000821:virology; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*
chemical_list: D014408:Biomarkers, Tumor