119
Views
16
CrossRef citations to date
0
Altmetric
Review

Targeting Aurora kinases in ovarian cancer

, , &
Pages 77-85 | Published online: 27 Jan 2006
 

Abstract

Although recurrent epithelial ovarian cancer initially responds well to current first-line adjuvant therapy, eventually the disease becomes resistant to chemotherapy. Novel strategies are needed to reverse chemoresistance in order to treat relapsed ovarian cancer effectively. One strategy is to target aberrant expression activation of Aurora kinases that are essential for the regulation of chromosome segregation and cytokinesis during mitosis and which play a role in tumourigenesis and progression in a wide range of human tumours, including ovarian cancer. The purpose of this article is to review Aurora kinases and their inhibitors in human epithelial ovarian cancer as an impetus to the development of effective and less toxic regimens for ovarian cancer. In addition, this review tries to define the differences between cytotoxic chemotherapeutic agents and molecular therapeutic agents: both groups of agents have either a single specific target or multiple specific targets, while their differences lie in their toxicity profiles and the way to determine their dosages for further studies. The authors propose that Aurora kinase inhibitors be developed as molecular therapeutic agents in order to minimise their toxicities and maximise their antitumour activities for ovarian cancer treatment.

Acknowledgements

The authors would like to thank Micheal Worley in the Department of Scientific Publications at MD Anderson Cancer Center for editing this manuscript.

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 1,049.00 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.