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Sorafenib: complexities of Raf-dependent and Raf-independent signaling are now unveiled

Overview of attention for article published in Medical Molecular Morphology, December 2011
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Title
Sorafenib: complexities of Raf-dependent and Raf-independent signaling are now unveiled
Published in
Medical Molecular Morphology, December 2011
DOI 10.1007/s00795-011-0558-z
Pubmed ID
Authors

Yasunobu Matsuda, Manabu Fukumoto

Abstract

Hepatocellular carcinoma (HCC) is the most common primary cancer worldwide. The only current drug available for clinical treatment of HCC is sorafenib, which inhibits multiple signaling kinases including Raf family members, platelet-derived growth factor receptor, vascular endothelial growth factor receptors 1 and 2, c-Kit, and Fms-like tyrosine kinase 3. Many studies have revealed that the mechanism underlying the antitumor effect of sorafenib is complex. Because sorafenib inhibits C-Raf more potently than B-Raf, the therapeutic efficacy of sorafenib is strongly influenced by the relative expression and activity of B-Raf and C-Raf and the complex interactions between these factors. Moreover, Rafindependent signaling mechanisms have recently emerged as important pathways of sorafenib-induced cell death. Basic research studies have suggested that using sorafenib as part of a combination therapy may improve its effect, although this has yet to be confirmed by clinical evidence. Further studies of the functional mechanism of sorafenib are required to advance the development of targeted therapy for HCC. To aid future work on sorafenib, we here review the current literature pertaining to sorafenib signaling and its clinical efficacy in both monotherapy and combination therapy.

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Geographical breakdown

Country Count As %
Korea, Republic of 1 3%
United States 1 3%
Austria 1 3%
Unknown 32 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Student > Master 4 11%
Professor > Associate Professor 4 11%
Researcher 3 9%
Student > Bachelor 2 6%
Other 4 11%
Unknown 9 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 31%
Medicine and Dentistry 10 29%
Biochemistry, Genetics and Molecular Biology 3 9%
Nursing and Health Professions 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 0 0%
Unknown 9 26%