2022, Volume 15, Issue 4, pp 504 – 508

The role of epithelial membrane antigen (EMA) overexpression in the prognosis of prostatic adenocarcinoma

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Authors and Affiliations

Corresponding Author: Rawaa Ghalib, Department of Pathology, College of Medicine, Babylon University, Babylon, Iraq. E-mail: dr.rawaaghali123@gmail.com. Athraa Falah, Department of Pathology, College of Medicine, Babylon University, Babylon, Iraq. E-mail: athraafalahhassan@gmail.com

Abstract

Prostatic adenocarcinoma is the second-most common cancer in men and the fifth most common cause of cancer death. Its incidence increases with age; 75% of patients are 65 years and older. The aim of the study was to assess epithelial membrane antigen (EMA) expression in prostatic adenocarcinoma as a poor prognostic marker and its correlation to some pathological parameters. The formalin-fixed, paraffin-surrounded tissue blocks were retrospectively collected from 40 men diagnosed with prostate carcinoma. All cases were collected from Al Hilla Teaching Hospital and some private labs between October 2018 – November 2020, with ages ranging from 30–89 years. Statistical analysis was done using SPSS 22, frequency and percentage were used for categorical data, and Chi-square was used to evaluate connotation between variables. P-value ≤0.05 was significant. The blocks were sectioned for EMA immunohistochemical staining using monoclonal mouse anti-human EMA protein. EMA protein overexpression was detected in 75% (n=30/40) of prostatic adenocarcinoma cases. EMA expression showed no correlation with the patient’s age (P=0.09) and a positive correlation with the cancer grade (P=0.003). In prostatic adenocarcinoma patients, EMA could be seen as a potential prognostic predictor for disease progression.

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About this article

PMC ID: 9126468
PubMed ID: 
DOI: 10.25122/jml-2021-0272

Article Publishing Date (print): 4 2022
Available Online: 

Journal information

ISSN Printing: 1844-122X
ISSN Online: 1844-3117
Journal Title: Journal of Medicine and Life

Copyright License: Open Access

This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.


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