Study of NGEP expression pattern in cancerous tissues provides novel insights into prognostic marker in prostate cancer

Author:

Mohsenzadegan Monireh12,Shekarabi Mehdi1,Madjd Zahra3,Asgari Mojgan34,Abolhasani Maryam34,Tajik Nader12,Farajollahi Mohammad M256

Affiliation:

1. Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran

2. Cellular & Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran

3. Oncopathology Research Center & Department of Pathology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran

4. Department of Pathology, Hasheminejad Kidney Center, Iran University of Medical Sciences, Tehran, Iran

5. Department of Medical Biotechnology, Faculty of Allied Medical Sciences, Iran University of Medical Sciences, Hemmat Highway, Tehran, Iran

6. Alborz Food & Drug Laboratory, Fardis, Alborz Province, Iran

Abstract

Aim: The aim of this study was to produce a novel polyclonal antibody against extracellular domain of NGEP protein and explore its role in prognosis of prostate cancer. Materials & methods: Polyclonal antibodies against two peptides (NGEP-p1 and NGEP-p2) derived extracellular domains of NGEP were prepared and the intensity and distribution of NGEP expression analyzed in large series of prostate tissue specimens. Results: We found a significant inverse correlation between NGEP expression and prognostic features such as Gleason score, pathologic tumor stage and prostate-specific antigen level using anti-NGEP-p2 antibody. Conclusion: The results indicate that the high level of expression could be associated with good prognosis in prostate cancer. However, additional studies are required to evaluate NGEP as an independent prognostic factor for prostate carcinoma.

Publisher

Future Medicine Ltd

Subject

Biochemistry, medical,Clinical Biochemistry,Drug Discovery

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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