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Renal Cell Cancer

Authors: Thomas E, Hutson; Robert A, Figlin;

Renal Cell Cancer

Abstract

Metastatic renal cell cancer has traditionally been treated with interferon and interleukin-2. An improved understanding of the biology of renal cancer has engendered novel targeted therapeutic agents that have altered the natural history of this disease. The vascular endothelial growth factor and its related receptor and the mammalian target of rapamycin signal transduction pathway in particular have been utilized as therapeutic targets. Sunitinib malate, sorafenib tosylate, temsirolimus, and bevacizumab/interferon alfa have improved clinical outcomes in randomized trials. Other antiangiogenic agents have also demonstrated activity in early studies. Given the availability of multiple treatment options, several questions emerge as to how to integrate these new therapies into the management of metastatic renal cell cancer. Recently reported and planned clinical trials will help clarify the role of these agents. The future of therapy for renal cancer appears promising owing to the efficacy of these novel agents.

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Keywords

Vascular Endothelial Growth Factor A, Receptors, Vascular Endothelial Growth Factor, TOR Serine-Threonine Kinases, Humans, Carcinoma, Renal Cell, Protein Kinases, Kidney Neoplasms, Signal Transduction

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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