75
Views
13
CrossRef citations to date
0
Altmetric
Reviews

Using molecular biology to develop drugs for renal cell carcinoma

, MD & , MD, PhD
Pages 311-327 | Published online: 03 Mar 2008
 

Abstract

Background: Renal cell carcinoma is a disease marked by a unique biology which has governed its long history of poor response to conventional cancer treatments. The discovery of the signaling pathway activated by inappropriate constitutive activation of the hypoxia inducible factors, transcription factors physiologically and transiently stabilized in response to low oxygen, has provided a basis to devise treatment strategies to target this oncogenic pathway. Objective: A review of the molecular pathogenesis of renal cell cancer (RCC) and molecularly targeted therapies, both those available at present and those in development, is provided. In addition, trials involving combination or sequential targeted therapy are discussed. Method: A detailed review of the literature describing the molecular biology of RCC and novel therapies was performed and summarized. Results/conclusion: Therapeutics targeting angiogenesis constitute the first class of agents that provide clinical benefit in most patients and herald renal cell carcinoma as a solid tumor paradigm for the development of novel therapeutics. Multiple strategies targeting this and other identified pathways in renal cell carcinoma provide numerous potential opportunities to make major improvements in treating this historically devastating cancer.

Notes

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,340.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.