The DOI matches its Crossref record; 174 of the 174 references it cites were found in a registry or an index.
Molecular Classification and Novel Targets in Hepatocellular Carcinoma: Recent Advancements
Open accessAbstract
Hepatocellular carcinoma (HCC) is one of most lethal cancers worldwide. Strategic decisions for the advancement of molecular therapies in this neoplasm require a clear understanding of its molecular classification. Studies indicate aberrant activation of signaling pathways involved in cellular proliferation (e.g., epidermal growth factor and RAS/mitogen-activated protein kinase pathways), survival (e.g., Akt/mechanistic target of rapamycin pathway), differentiation (e.g., Wnt and Hedgehog pathways), and angiogenesis (e.g., vascular endothelial growth factor and platelet-derived growth factor), which is heterogeneously presented in each tumor. Integrative analysis of accumulated genomic datasets has revealed a global scheme of molecular classification of HCC tumors observed across diverse etiologic factors and geographic locations. Such a framework will allow systematic understanding of the frequently co-occurring molecular aberrations to design treatment strategy for each specific subclass of tumors. Accompanied by a growing number of clinical trials of molecular targeted drugs, diagnostic and prognostic biomarker development will be facilitated with special attention on study design and with new assay technologies specialized for archived fixed tissues. A new class of genomic information, microRNA dysregulation and epigenetic alterations, will provide insight for more precise understanding of disease mechanism and expand the opportunity of biomarker/therapeutic target discovery. These efforts will eventually enable personalized management of HCC.
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1 retracted
Datta, J., Kutay, H., Nasser, M. W., Nuovo, G. J., Wang, B., Majumder, S., Liu, C.-G., Volinia, S., Croce, C. M., Schmittgen, T. D., et al. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-6655 · Cited by 438
RetractedSubramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Hanahan, D., & Weinberg, R. A. (2000) · Cell · doi:10.1016/s0092-8674(00)81683-9 · Cited by 29,219
Global Cancer Statistics, 2002
Parkin, D. M., Bray, F., Ferlay, J., & Pisani, P. (2005) · CA: A Cancer Journal for Clinicians · doi:10.3322/canjclin.55.2.74 · Cited by 18,196
Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111
Sorafenib in advanced hepatocellular carcinoma
Llovet, J. M., Ricci, S., Mazzaferro, V., Hilgard, P., Gane, E., Blanc, J.-F., de Oliveira, A. C., Santoro, A., Raoul, J.-L., Forner, A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0708857 · Cited by 13,097
Self-citationJemal, A., Siegel, R., Ward, E., Hao, Y., Xu, J., & Thun, M. J. (2009) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20006 · Cited by 9,709
MicroRNA expression profiles classify human cancers
Lu, J., Getz, G., Miska, E. A., Alvarez-Saavedra, E., Lamb, J., Peck, D., Sweet-Cordero, A., Ebert, B. L., Mak, R. H., Ferrando, A. A., et al. (2005) · Nature · doi:10.1038/nature03702 · Cited by 9,539
EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapy
Paez, J. G., Jänne, P. A., Lee, J. C., Tracy, S., Greulich, H., Gabriel, S., Herman, P., Kaye, F. J., Lindeman, N., Boggon, T. J., et al. (2004) · Science · doi:10.1126/science.1099314 · Cited by 9,368
Cited by
Llovet, J. M., Zucman-Rossi, J., Pikarsky, E., Sangro, B., Schwartz, M., Sherman, M., & Gores, G. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.18 · Cited by 2,531
Self-citationGenetic 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
Self-citationMechanisms 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
TGF-β in progression of liver disease
Dooley, S., & ten Dijke, P. (2012) · Cell and Tissue Research · doi:10.1007/s00441-011-1246-y · Cited by 718
The Role of Angiogenesis in Hepatocellular Carcinoma
Morse, M. A., Sun, W., Kim, R., He, A. R., Abada, P. B., Mynderse, M., & Finn, R. S. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-1254 · Cited by 533
Metadata
- Authors
- Hoshida, Y., Toffanin, S., Lachenmayer, A., Villanueva, A., Minguez, B., & Llovet, J.
- Venue
- Seminars in Liver Disease
- Publisher
- Georg Thieme Verlag KG
- Published
- 2010-02
- Volume
- 30
- Issue
- 01
- Pages
- 035-051
- ISSN
- 0272-8087 (ISSN-L)
- 1098-8971
- OpenAlex
- W1975514993
- Cited by
- 310
- References
- 174
- FWCI
- 21.45
- Type
- journal article
- Language
- en
- Open access
- green
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- Hoshida, Y., Toffanin, S., Lachenmayer, A., Villanueva, A., Minguez, B., & Llovet, J. (2010). Molecular Classification and Novel Targets in Hepatocellular Carcinoma: Recent Advancements. Seminars in Liver Disease. https://doi.org/10.1055/s-0030-1247131
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
