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Met-regulated expression signature defines a subset of human hepatocellular carcinomas with poor prognosis and aggressive phenotype
Pal Kaposi-Novak, … , Valentina M. Factor, Snorri S. Thorgeirsson
Pal Kaposi-Novak, … , Valentina M. Factor, Snorri S. Thorgeirsson
Published June 1, 2006
Citation Information: J Clin Invest. 2006;116(6):1582-1595. https://doi.org/10.1172/JCI27236.
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Research Article Oncology Article has an altmetric score of 7

Met-regulated expression signature defines a subset of human hepatocellular carcinomas with poor prognosis and aggressive phenotype

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Abstract

Identification of specific gene expression signatures characteristic of oncogenic pathways is an important step toward molecular classification of human malignancies. Aberrant activation of the Met signaling pathway is frequently associated with tumor progression and metastasis. In this study, we defined the Met-dependent gene expression signature using global gene expression profiling of WT and Met-deficient primary mouse hepatocytes. Newly identified transcriptional targets of the Met pathway included genes involved in the regulation of oxidative stress responses as well as cell motility, cytoskeletal organization, and angiogenesis. To assess the importance of a Met-regulated gene expression signature, a comparative functional genomic approach was applied to 242 human hepatocellular carcinomas (HCCs) and 7 metastatic liver lesions. Cluster analysis revealed that a subset of human HCCs and all liver metastases shared the Met-induced expression signature. Furthermore, the presence of the Met signature showed significant correlation with increased vascular invasion rate and microvessel density as well as with decreased mean survival time of HCC patients. We conclude that the genetically defined gene expression signatures in combination with comparative functional genomics constitute an attractive paradigm for defining both the function of oncogenic pathways and the clinically relevant subgroups of human cancers.

Authors

Pal Kaposi-Novak, Ju-Seog Lee, Luis Gòmez-Quiroz, Cédric Coulouarn, Valentina M. Factor, Snorri S. Thorgeirsson

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Figure 4

Expression profiles of the Met-regulated genes in HCCs from the LEC data set.

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Expression profiles of the Met-regulated genes in HCCs from the LEC data...
(A) Hierarchical cluster analysis of mouse hepatocyte samples and 139 HCCs from the LEC data set. Clustering was performed with 440 common orthologous genes that showed HGF/Met–regulated expression pattern in mouse hepatocytes. Normalized log2-transformed expression ratios are presented in a matrix where columns and rows represent individual genes and samples, respectively. (B) Dendrogram of cluster analysis indicates the presence of an HCC subset (Met+ group) in which the expression pattern of Met-regulated genes is similar to that in the HGF-treated WT hepatocyte samples. HCC samples in the Met– group and Met KO hepatocytes do not share the same gene expression pattern of Met activation. The figure also shows distribution of HCC samples between the previously described (37) worse-prognosis (cluster A) and better-prognosis (cluster B) tumor groups.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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