Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry

Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry

Mammaglobin A (MGA) is an organ specific molecular biomarker for metastatic breast cancer diagnosis. However, there are still needs to develop optimal monoclonal antibodies (mAbs) to detect MGA expression in breast carcinoma by immunohistochemistry. In this study, we first generated mAbs against MGA...

Full description

Bibliographic Details
Main Authors: Duan, Cuimi, Yang, Xiqin, Zhang, Xuhui, Feng, Jiannan, Liu, Zhiqiang, Que, Haiping, Johnson, Heather, Zhao, Yanfeng, Fan, Yawen, Lu, Yinglin, Zhang, Heqiu, Huang, Yan, Xiu, Bingshui, Feng, Xiaoyan
Format: Online
Language:English
Published: Nature Publishing Group 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536492/
id pubmed-4536492
recordtype oai_dc
spelling pubmed-45364922015-09-04 Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry Duan, Cuimi Yang, Xiqin Zhang, Xuhui Feng, Jiannan Liu, Zhiqiang Que, Haiping Johnson, Heather Zhao, Yanfeng Fan, Yawen Lu, Yinglin Zhang, Heqiu Huang, Yan Xiu, Bingshui Feng, Xiaoyan Article Mammaglobin A (MGA) is an organ specific molecular biomarker for metastatic breast cancer diagnosis. However, there are still needs to develop optimal monoclonal antibodies (mAbs) to detect MGA expression in breast carcinoma by immunohistochemistry. In this study, we first generated mAbs against MGA. Then, we used epitope prediction and computer-assisted structural analysis to screen five dominant epitopes and identified mAbs against five epitopes. Further immunohistochemical analysis on 42 breast carcinoma specimens showed that MHG1152 and MGD785 had intensive staining mainly in membrane, while CHH11617, CHH995 and MJF656 had more intensive staining within the cytoplasm. MGA scoring results showed that MJF656 had the highest rate (92.8%) of positive staining among five mAbs, including higher staining intensity when compared with that of MHG1152 (p < 0.01) and CHH995 (p < 0.05) and the highest the mean percentage of cells stained among mAbs. Furthermore, we analyzed the relationship of positive staining rate by mAbs with patient clinical characteristics. The results suggest that MJF656 was able to detect MGA expression, especially in early clinical stage, low grade and lymph node metastasis-negative breast carcinoma. In conclusion, our study generated five mAbs against MGA and identified the best candidate for detection of MGA expression in breast cancer tissues. Nature Publishing Group 2015-08-14 /pmc/articles/PMC4536492/ /pubmed/26272389 http://dx.doi.org/10.1038/srep13073 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Duan, Cuimi
Yang, Xiqin
Zhang, Xuhui
Feng, Jiannan
Liu, Zhiqiang
Que, Haiping
Johnson, Heather
Zhao, Yanfeng
Fan, Yawen
Lu, Yinglin
Zhang, Heqiu
Huang, Yan
Xiu, Bingshui
Feng, Xiaoyan
spellingShingle Duan, Cuimi
Yang, Xiqin
Zhang, Xuhui
Feng, Jiannan
Liu, Zhiqiang
Que, Haiping
Johnson, Heather
Zhao, Yanfeng
Fan, Yawen
Lu, Yinglin
Zhang, Heqiu
Huang, Yan
Xiu, Bingshui
Feng, Xiaoyan
Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry
author_facet Duan, Cuimi
Yang, Xiqin
Zhang, Xuhui
Feng, Jiannan
Liu, Zhiqiang
Que, Haiping
Johnson, Heather
Zhao, Yanfeng
Fan, Yawen
Lu, Yinglin
Zhang, Heqiu
Huang, Yan
Xiu, Bingshui
Feng, Xiaoyan
author_sort Duan, Cuimi
title Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry
title_short Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry
title_full Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry
title_fullStr Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry
title_full_unstemmed Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry
title_sort generation of monoclonal antibodies against mga and comparison of their application in breast cancer detection by immunohistochemistry
description Mammaglobin A (MGA) is an organ specific molecular biomarker for metastatic breast cancer diagnosis. However, there are still needs to develop optimal monoclonal antibodies (mAbs) to detect MGA expression in breast carcinoma by immunohistochemistry. In this study, we first generated mAbs against MGA. Then, we used epitope prediction and computer-assisted structural analysis to screen five dominant epitopes and identified mAbs against five epitopes. Further immunohistochemical analysis on 42 breast carcinoma specimens showed that MHG1152 and MGD785 had intensive staining mainly in membrane, while CHH11617, CHH995 and MJF656 had more intensive staining within the cytoplasm. MGA scoring results showed that MJF656 had the highest rate (92.8%) of positive staining among five mAbs, including higher staining intensity when compared with that of MHG1152 (p < 0.01) and CHH995 (p < 0.05) and the highest the mean percentage of cells stained among mAbs. Furthermore, we analyzed the relationship of positive staining rate by mAbs with patient clinical characteristics. The results suggest that MJF656 was able to detect MGA expression, especially in early clinical stage, low grade and lymph node metastasis-negative breast carcinoma. In conclusion, our study generated five mAbs against MGA and identified the best candidate for detection of MGA expression in breast cancer tissues.
publisher Nature Publishing Group
publishDate 2015
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536492/
_version_ 1613259659492196352

Similar Items