DIAGNOSTIC UTILITY OF IMMUNOHISTOCHEMICAL EXPRESSION OF KI-67, P63 AND AMACR IN PROSTATE INTRAEPITHELIAL NEOPLASIA

Author:

Melnychuk Maksym P.1

Affiliation:

1. STATE INSTITUTION OF SCIENCE "RESEARCH AND PRACTICAL CENTER OF PREVENTIVE AND CLINICAL MEDICINE", KYIV, UKRAINE

Abstract

The aim: To determine malignant transformation and progression ability of high grade and low grade prostate intraepithelial neoplasia with the help of immunohistochemical method. Materials and methods: The results of examination of 93 patients with PIN (50 patients with high grade PIN and 43 patients with low grade PIN) were assessed comparatively using immunohistochemical markers. Semiquantitative method was used to evaluate !"-67, #63 and AMACR tissue expression with four grades from „+” to „++++” or from 1 to 4 points: ‘+’ – low reaction, ‘++’ – poor reaction, ‘+++’ – moderate reaction and ‘++++” – intense reaction. Results: There were statistically signi!cant di"erences in immunohistochemical expression rates between HGPIN and LGPIN. Patients with HGPIN had higher Ki-67 and AMACR expression rate and lower p63 expression rate than patients with LGPIN. Intense and moderate Ki-67 expression was detected in HGPIN more often, in 24 % and 11 % respectively. Low and moderate AMACR expression was determined in HGPIN more often, in 28 % and 5 % respectively. Low and not evident p63 expression was observed in HGPIN more often, in 36 % and 8 % respectively. Conclusions: HGPIN has common morphological peculiarities with prostate adenocarcinoma. Immunohistochemical detection of Ki-67, p63 and AMACR is aimed to differentiate among patients with PIN a group of high malignant transformation risk.

Publisher

ALUNA

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3