Gene-expression analysis identifies specific patterns of dysregulated molecular pathways and genetic subgroups of human hepatocellular carcinoma

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Abstract

Background. Hepatocellular carcinoma comprises of a group of heterogeneous tumors of different etiologies. The multistep process of liver carcinogenesis involves various genetic and phenotypic alterations. The molecular pathways and driver mutations involved are still under investigation. Materials and Methods: DNA micorarray technology was used to identify differentially expressed genes between human hepatocarcinoma and non-tumorous liver tissues to establish a unique specific gene-expression profile independent of the underlying liver disease. The validity of this global gene-expression profile was tested for its robustness against biopsies from other liver entities (cirrhotic and non-cirrhotic liver) by diagnosing HCC in blinded samples. Results: Most of the consistently and strongly overexpressed genes were related to cell-cycle regulation and DNA replication [27 genes, e.g. cyclin B1, karyopherin alpha 2 (KPNA2), cyclin-dependent kinase 2 (CDC2)], G-protein depending signaling [e.g. Rac GTPase activating protein 1 (RACGAP1), Rab GTPase YPT1 homolog (RAB1), and ADPribosylation factor-like 2 (ARL2)] and extracellular matrix remodelling or cytoskeleton structure [22 genes, e.g. serine proteinase inhibitor 1 kazal-type (SPINK1), osteopontin (OPN), secreted protein acidic and rich in cysteine (SPARC), collagen type 1 alpha2 (COL1A2), integrin alpha6 (ITGA6), and metalloproteinase 12 (MMP12)]. Furthermore, significantly differentially expressed genes (e.g. calcium-binding proteins, Gproteins, oncofetal proteins) in relation to tumor differentiation were detected using gene-expression analysis. Conclusion: It is suggested that these significantly dysregulated genes are highly specific and potentially utilizable as prognostic markers and may lead to a better understanding of human hepatocarcinogenesis.

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Hass, H. G., Vogel, U., Scheurlen, M., & Jobst, J. (2016). Gene-expression analysis identifies specific patterns of dysregulated molecular pathways and genetic subgroups of human hepatocellular carcinoma. Anticancer Research, 36(10), 5087–5095. https://doi.org/10.21873/anticanres.11078

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