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Met-regulated expression signature defines a subset of human hepatocellular carcinomas with poor prognosis and aggressive phenotype
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 de...
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Published in: | The Journal of clinical investigation 2006-06, Vol.116 (6), p.1582-1595 |
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creator | Kaposi-Novak, Pal Lee, Ju-Seog Gòmez-Quiroz, Luis Coulouarn, Cédric Factor, Valentina M Thorgeirsson, Snorri S |
description | 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. |
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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.</description><identifier>ISSN: 0021-9738</identifier><identifier>EISSN: 1558-8238</identifier><identifier>DOI: 10.1172/JCI27236</identifier><identifier>PMID: 16710476</identifier><language>eng</language><publisher>United States: American Society for Clinical Investigation</publisher><subject>Angiogenesis ; Animals ; Biomedical research ; Cancer ; Carcinoma, Hepatocellular - diagnosis ; Carcinoma, Hepatocellular - genetics ; Carcinoma, Hepatocellular - metabolism ; Carcinoma, Hepatocellular - pathology ; Cells, Cultured ; Data analysis ; Datasets ; Female ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genetic aspects ; Genomics ; Hepatocyte Growth Factor - metabolism ; Hepatocytes - cytology ; Hepatocytes - physiology ; Humans ; Liver cancer ; Liver Neoplasms - diagnosis ; Liver Neoplasms - genetics ; Liver Neoplasms - metabolism ; Liver Neoplasms - pathology ; Male ; Medical prognosis ; Medical research ; Medicine, Experimental ; Metastasis ; Mice ; Mice, Knockout ; Middle Aged ; Molecular Sequence Data ; Motility ; Neoplasm Metastasis ; Oligonucleotide Array Sequence Analysis ; Pathogenesis ; Phenotype ; Prognosis ; Proto-Oncogene Proteins - genetics ; Proto-Oncogene Proteins - metabolism ; Proto-Oncogene Proteins c-met ; Receptors, Growth Factor - genetics ; Receptors, Growth Factor - metabolism ; Survival Rate ; Tumors</subject><ispartof>The Journal of clinical investigation, 2006-06, Vol.116 (6), p.1582-1595</ispartof><rights>COPYRIGHT 2006 American Society for Clinical Investigation</rights><rights>Copyright American Society for Clinical Investigation Jun 2006</rights><rights>Copyright © 2006, American Society for Clinical Investigation 2006</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c612t-450811f489d3d276d2e32b46dc5a694cdbc922a8c920d2f6422dc2f987f4e0353</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1462944/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1462944/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16710476$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kaposi-Novak, Pal</creatorcontrib><creatorcontrib>Lee, Ju-Seog</creatorcontrib><creatorcontrib>Gòmez-Quiroz, Luis</creatorcontrib><creatorcontrib>Coulouarn, Cédric</creatorcontrib><creatorcontrib>Factor, Valentina M</creatorcontrib><creatorcontrib>Thorgeirsson, Snorri S</creatorcontrib><title>Met-regulated expression signature defines a subset of human hepatocellular carcinomas with poor prognosis and aggressive phenotype</title><title>The Journal of clinical investigation</title><addtitle>J Clin Invest</addtitle><description>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.</description><subject>Angiogenesis</subject><subject>Animals</subject><subject>Biomedical research</subject><subject>Cancer</subject><subject>Carcinoma, Hepatocellular - diagnosis</subject><subject>Carcinoma, Hepatocellular - genetics</subject><subject>Carcinoma, Hepatocellular - metabolism</subject><subject>Carcinoma, Hepatocellular - pathology</subject><subject>Cells, Cultured</subject><subject>Data analysis</subject><subject>Datasets</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Genetic aspects</subject><subject>Genomics</subject><subject>Hepatocyte Growth Factor - metabolism</subject><subject>Hepatocytes - cytology</subject><subject>Hepatocytes - physiology</subject><subject>Humans</subject><subject>Liver cancer</subject><subject>Liver Neoplasms - diagnosis</subject><subject>Liver Neoplasms - genetics</subject><subject>Liver Neoplasms - metabolism</subject><subject>Liver Neoplasms - pathology</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Metastasis</subject><subject>Mice</subject><subject>Mice, Knockout</subject><subject>Middle Aged</subject><subject>Molecular Sequence Data</subject><subject>Motility</subject><subject>Neoplasm Metastasis</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Pathogenesis</subject><subject>Phenotype</subject><subject>Prognosis</subject><subject>Proto-Oncogene Proteins - genetics</subject><subject>Proto-Oncogene Proteins - metabolism</subject><subject>Proto-Oncogene Proteins c-met</subject><subject>Receptors, Growth Factor - genetics</subject><subject>Receptors, Growth Factor - 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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.</abstract><cop>United States</cop><pub>American Society for Clinical Investigation</pub><pmid>16710476</pmid><doi>10.1172/JCI27236</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Angiogenesis Animals Biomedical research Cancer Carcinoma, Hepatocellular - diagnosis Carcinoma, Hepatocellular - genetics Carcinoma, Hepatocellular - metabolism Carcinoma, Hepatocellular - pathology Cells, Cultured Data analysis Datasets Female Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Genetic aspects Genomics Hepatocyte Growth Factor - metabolism Hepatocytes - cytology Hepatocytes - physiology Humans Liver cancer Liver Neoplasms - diagnosis Liver Neoplasms - genetics Liver Neoplasms - metabolism Liver Neoplasms - pathology Male Medical prognosis Medical research Medicine, Experimental Metastasis Mice Mice, Knockout Middle Aged Molecular Sequence Data Motility Neoplasm Metastasis Oligonucleotide Array Sequence Analysis Pathogenesis Phenotype Prognosis Proto-Oncogene Proteins - genetics Proto-Oncogene Proteins - metabolism Proto-Oncogene Proteins c-met Receptors, Growth Factor - genetics Receptors, Growth Factor - metabolism Survival Rate Tumors |
title | Met-regulated expression signature defines a subset of human hepatocellular carcinomas with poor prognosis and aggressive phenotype |
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