Novel Use for DOG1 in Discriminating Breast Invasive Carcinoma from Noninvasive Breast Lesions

Author:

Cheng Henghui1,Yang Shouhua2ORCID,Qu Zhiling1,Zhou Sheng1,Ruan Qiurong1

Affiliation:

1. Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

2. Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China

Abstract

Aims. DOG1 has proven to be a useful marker of gastrointestinal stromal tumors (GISTs). Recently, DOG1 expression has also been reported in some non-GIST malignant tumors, but the details related to DOG1 expression in breast tissue remain unclear. The aim of this study was to detect the expression of DOG1 in the human breast and to evaluate the feasibility of using DOG1 to discriminate between invasive breast carcinoma and noninvasive breast lesions.Methods and Results. A total of 210 cases, including both invasive and noninvasive breast lesions, were collected to assess DOG1 expression immunohistochemically. DOG1 expression was consistently positive in breast myoepithelial cells (MECs), which was similar to the results obtained for three other MEC markers: calponin, smooth muscle myosin heavy chain (SMMHC), and P63 (P>0.05in all). Importantly, DOG1 was useful in discriminating invasive breast carcinoma from noninvasive breast lesions (P<0.05).Conclusions. DOG1 is a useful marker of breast MECs, and adding DOG1 to the MEC identification panel will provide more sophisticated information when diagnosing uncertain cases in the breast.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Biochemistry, medical,Clinical Biochemistry,Genetics,Molecular Biology,General Medicine

Cited by 16 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

1. DOG-1 as a Myoepithelial Marker in Discriminating Invasive Breast Carcinomas From Non-Invasive Breast Lesions;Cureus;2023-05-29

2. Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction;2022 IEEE 38th International Conference on Data Engineering (ICDE);2022-05

3. Role of ANO1 in tumors and tumor immunity;Journal of Cancer Research and Clinical Oncology;2022-04-26

4. Popularity-Enhanced News Recommendation with Multi-View Interest Representation;Proceedings of the 30th ACM International Conference on Information & Knowledge Management;2021-10-26

5. HeteGraph: graph learning in recommender systems via graph convolutional networks;Neural Computing and Applications;2021-01-08

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