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| Bellodi-Privato,M.; Kubrusly,M.S.; Stefano,J.T.; Soares,I.C.; Wakamatsu,A.; Oliveira,A.C.; Alves,V.A.F.; Bacchella,T.; Machado,M.C.C.; D’Albuquerque,L.A.C.. |
| 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... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Hepatocellular carcinoma; Molecular biomarkers; Viral infection; Oligo-microarrays. |
| Ano: 2009 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2009001200001 |
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