The Impact of Androgen Receptor Expression on Endometrial Carcinoma Recurrence and Survival.


Endometrial carcinomas (ECs) are the most common gynecologic cancers in the western world. The impact of androgen receptor (AR) on clinicopathologic parameters of EC is not well studied. The aim of our study is to assess the role of AR expression in ECs and correlate its expression with estrogen (ER) and progesterone (PR). A retrospective review of 261 EC was conducted. H&E slides were reviewed and clinicopathologic parameters were analyzed. Immunohistochemical stains for AR, ER, and PR were performed on a tissue microarray. The hormonal expression was evaluated and the data were analyzed using the Fisher exact test and Kaplan-Meier survival analysis. Patients' age ranged from 31 to 91 (median=65 y). Type I EC included 202 endometrioid and 7 mucinous carcinoma, whereas type II included 34 serous, 16 carcinosarcoma, and 2 clear cell carcinoma. Although not significant, AR expression showed more frequent association with type I EC, early tumor stage (I-II), and low FIGO grade (1-2) EC. AR expression significantly correlated with absence of lymphovascular invasion (P=0.041) and decreased LN involvement (P=0.048). Patients with AR expression showed increased disease-free survival (208 vs. 165 mo, P=0.008) and late disease recurrence (P=0.009). AR expression had a positive significant correlation with PR (P<0.001) and ER (P=0.037) expression. AR might play a role as a prognostic marker for ECs.

DOI: 10.1097/PGP.0000000000000355

Cite this paper

@article{Mahdi2017TheIO, title={The Impact of Androgen Receptor Expression on Endometrial Carcinoma Recurrence and Survival.}, author={Zaid Mahdi and Eman Abdulfatah and Vishakha Pardeshi and Oudai Hassan and Daniel S Schultz and Robert T. Morris and Michele L. Cote and Mohamed Awad Elshaikh and Sudeshna C. Bandyopadhyay and Rouba Ali-Fehmi}, journal={International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists}, year={2017}, volume={36 5}, pages={405-411} }