The expression ratios of estrogen receptor alpha (ER alpha) to estrogen receptor beta 1 (ER beta 1) and ER alpha to ER beta 2 identify poor clinical outcome in endometrioid endometrial cancer

Gian Franco Zannoni, Giovanni Scambia, Antonio Gargini, Maria Giovanna Salerno

Risultato della ricerca: Contributo in rivistaArticolo in rivista

33 Citazioni (Scopus)

Abstract

The prognostic relevance of estrogen (ER) and progesterone receptor (PR) expression in endometrioid endometrial cancer is still controversially discussed. The present study has focused on the evaluation of the prognostic value of ER alpha, ER beta 1, ER beta 2, and PR in this histotype. Specifically, we were interested in evaluating whether the relative level of ER subtype-specific expression (in terms of a ratio ER alpha/ER beta 1 and ER alpha/ER beta 2) would predict clinical outcome better than their absolute levels in patients with endometrioid endometrial cancer. To this end, protein content was assessed by immunohistochemistry in a group of 121 cases and staining was analyzed in relation to clinicopathologic variables, disease-free survival and overall survival. Results obtained have demonstrated that none of the biological markers analyzed possess an independent prognostic role with regard to disease-free survival. Multivariate analysis of overall survival has shown that ER alpha alone is not an independent prognostic indicator in patients with endometrioid endometrial cancer (hazard ratio [HR]; 0.5; 95% confidence interval [CI], 0.09-3.0; P = .5). On the other hand, an ER alpha/ER beta 1 ratio of 1 or less or an ER alpha/ER beta 2 ratio of 1 or less has proved to be independently associated with a higher risk of death (HR, 6.4 [95% CI, 1.0-40.6; P = .04] and 9.7 [95% CI, 1.1-85.3; P = .04], respectively) along with age, tumor stage, and Ki-67. In conclusion, we report here that the ER alpha/ER beta 1 and ER alpha/ER beta 2 expression ratios are independent prognostic markers of survival in endometrioid endometrial cancer; these findings suggest that phenotyping these interacting markers conjointly may better predict patient survival than each individual marker alone. (C) 2013 Elsevier Inc. All rights reserved.
Lingua originaleEnglish
pagine (da-a)1047-1054
Numero di pagine8
RivistaHuman Pathology
Volume44
DOI
Stato di pubblicazionePubblicato - 2013

Keywords

  • ER alpha
  • endometrial cancer

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