56
Views
1
CrossRef citations to date
0
Altmetric
Review

No cookie-cutter oncology: individualized treatment approaches for women with corpus endometrial cancer

, &
Pages 1087-1100 | Published online: 10 Jan 2014
 

Abstract

>Endometrial adenocarcinoma is the most common gynecologic malignancy and, for the majority of patients who present with stage I (∼70%) or stage II (∼10%) disease, 5-year overall survival rates approach 85%. However, the complicated mix of medical comorbidities, the broad spectrum of techniques and treatment modalities and controversial clinical trial outcomes makes treating this heterogeneous group of patients unique and challenging. Similar management controversies exist and, when one factors in histologic variability, no flow-chart treatment algorithm can be easily constructed. This article will discuss data from key clinical trials, consider the role of routine lymphadenectomy as a component of surgical staging, discuss the heterogeneity of stage III patients in both presentation and response to treatment, review options for medically inoperable patients and reflect on current and upcoming protocols

Financial & competing interests disclosure

The authors have no 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. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

No writing assistance was utilized in the production of 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 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.