525
Views
4
CrossRef citations to date
0
Altmetric
Review

Understanding dendritic cell immunotherapy in ovarian cancer

&
Pages 643-652 | Received 26 Jan 2016, Accepted 17 Mar 2016, Published online: 13 May 2016
 

ABSTRACT

Introduction: Approximately eighty percent of patients with ovarian cancer are diagnosed with advanced disease. Even with cutting edge surgical techniques and the best regimens of standard therapies most patients relapse and die of drug resistant disease within five years of diagnosis. Dendritic cell (DC) immunotherapy can induce anti-tumor T cell immunity in patients and holds great potential in the era of modern anti-cancer treatment.

Areas Covered: This review outlines critical factors regulating the outcome of DC immunotherapy in ovarian cancer, summarizes the important findings in ovarian cancer DC clinical trials, and discusses new directions which may improve the effectiveness of DC immunotherapy.

Expert Commentary: Administration of DC vaccines with other forms of immunotherapy may enhance the efficacy of these treatments, ultimately increasing cures for this disease.

Declaration of interests

The authors were supported by funds from the Perritt Charitable Foundation. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

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 786.00 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.