The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Met-regulated expression signature defines a subset of human hepatocellular carcinomas with poor prognosis and aggressive phenotype
Open accessAbstract
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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Pfaffl, M. W. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.9.e36 · Cited by 7,376
Cellular Motility Driven by Assembly and Disassembly of Actin Filaments
Pollard, T. D., & Borisy, G. G. (2003) · Cell · doi:10.1016/s0092-8674(03)00120-x · Cited by 4,195
ONCOMINE: A Cancer Microarray Database and Integrated Data-Mining Platform
Rhodes, D. R., Yu, J., Shanker, K., Deshpande, N., Varambally, R., Ghosh, D., Barrette, T., Pander, A., & Chinnaiyan, A. M. (2004) · Neoplasia · doi:10.1016/s1476-5586(04)80047-2 · Cited by 3,612
Michalopoulos, G. K., & DeFrances, M. C. (1997) · Science · doi:10.1126/science.276.5309.60 · Cited by 2,828
Met, metastasis, motility and more
Birchmeier, C., Birchmeier, W., Gherardi, E., & Vande Woude, G. F. (2003) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1261 · Cited by 2,602
Nrf2–Keap1 defines a physiologically important stress response mechanism
Motohashi, H., & Yamamoto, M. (2004) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2004.09.003 · Cited by 1,725 · cited 11×
“Itgav Mm.227 Late up 12 h 1.52 2–12 h 2.38 Itga3 Mm.57035 Late up 12 h 1.57 0–24 h 2.21 Adam24 Mm.67403 Early and late up 12 h 2.79 2–12 h 1.70 Fn1 Mm.193099 Late up 24 h 1.52 0–24 h 2.91 Itgb1 Mm.263396 Late up 24 h 1.54 2–12 h 1.71 Stress response Adh1 Mm.2409 Persistent 24 h 0.13 2–12 h 0.49 Aldh1a1A Mm.250866 Pers…”
BackgroundInfluentialIntegrin signalling during tumour progression
Guo, W., & Giancotti, F. G. (2004) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1490 · Cited by 1,471
Scatter factor/hepatocyte growth factor is essential for liver development
Schmidt, C., Bladt, F., Goedecke, S., Brinkmann, V., Zschiesche, W., Sharpe, M., Gherardi, E., & Birchmeler, C. (1995) · Nature · doi:10.1038/373699a0 · Cited by 1,394
Essential role for the c-met receptor in the migration of myogenic precursor cells into the limb bud
Bladt, F., Riethmacher, D., Isenmann, S., Aguzzi, A., & Birchmeier, C. (1995) · Nature · doi:10.1038/376768a0 · Cited by 1,284
Rhodes, D. R., Yu, J., Shanker, K., Deshpande, N., Varambally, R., Ghosh, D., Barrette, T., Pandey, A., & Chinnaiyan, A. M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0401994101 · Cited by 1,019
Cited by
Calvo, F., Ege, N., Grande-Garcia, A., Hooper, S., Jenkins, R. P., Chaudhry, S. I., Harrington, K., Williamson, P., Moeendarbary, E., Charras, G., et al. (2013) · Nature Cell Biology · doi:10.1038/ncb2756 · Cited by 1,478
Genetic landscape and biomarkers of hepatocellular carcinoma
Zucman-Rossi, J., Villanueva, A., Nault, J.-C., & Llovet, J. M. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.05.061 · Cited by 1,325
Hoshida, Y., Nijman, S. M. B., Kobayashi, M., Chan, J. A., Brunet, J.-P., Chiang, D. Y., Villanueva, A., Newell, P., Ikeda, K., Hashimoto, M., et al. (2009) · Cancer Research · doi:10.1158/0008-5472.can-09-1089 · Cited by 1,238
Mechanisms of HBV-induced hepatocellular carcinoma
Levrero, M., & Zucman-Rossi, J. (2016) · Journal of Hepatology · doi:10.1016/j.jhep.2016.02.021 · Cited by 1,052
The Role of Cancer-Associated Fibroblasts and Fibrosis in Liver Cancer
Affo, S., Yu, L.-X., & Schwabe, R. F. (2017) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-052016-100322 · Cited by 757
Metadata
- Authors
- Kaposi-Novak, P.
- Venue
- Journal of Clinical Investigation
- Published
- 2006-06-01
- Volume
- 116
- Issue
- 6
- Pages
- 1582-1595
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2042571415
- Cited by
- 398
- References
- 57
- FWCI
- 11.00
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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