Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation
ABSTRACT Background By simultaneously staining multiple immunomarkers on a single tissue section, multiplexed immunohistochemistry (mIHC) enhances the amount of information that can be observed in a single tissue section and thus can be a powerful tool to visualise cellular interactions directly in...
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Wiley
2025-01-01
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Online Access: | https://doi.org/10.1002/cam4.70523 |
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author | Aria Kaiyuan Sun Song Fan Siu Wai Choi |
author_facet | Aria Kaiyuan Sun Song Fan Siu Wai Choi |
author_sort | Aria Kaiyuan Sun |
collection | DOAJ |
description | ABSTRACT Background By simultaneously staining multiple immunomarkers on a single tissue section, multiplexed immunohistochemistry (mIHC) enhances the amount of information that can be observed in a single tissue section and thus can be a powerful tool to visualise cellular interactions directly in the tumour microenvironment. Performing mIHC remains technically and practically challenging, and this technique has many limitations if not properly validated. However, with proper validation, heterogeneity between histopathological images can be avoided. Aims This review aimed to summarize the currently used methods and to propose a standardised method for effective mIHC. Materials and Methods An extensive literature review was conducted to identify different methods currently in use for mIHC. Results Guidelines for antibody selection, panel design, antibody validation and analytical strategies are given. The advantages and disadvantages of each method are discussed. Conclusion This review summarizes widely used pathology imaging software and discusses the potential for automation of pathology image analysis so that mIHC technology can be a truly powerful tool for research as well as clinical use. |
format | Article |
id | doaj-art-33b56d7e02ca46d2add2288780746d8c |
institution | Kabale University |
issn | 2045-7634 |
language | English |
publishDate | 2025-01-01 |
publisher | Wiley |
record_format | Article |
series | Cancer Medicine |
spelling | doaj-art-33b56d7e02ca46d2add2288780746d8c2025-01-13T13:22:39ZengWileyCancer Medicine2045-76342025-01-01141n/an/a10.1002/cam4.70523Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical IncorporationAria Kaiyuan Sun0Song Fan1Siu Wai Choi2Department of Anaesthesiology, School of Clinical Medicine, Faculty of Medicine The University of Hong Kong Hong Kong Hong KongGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation Sun Yat‐Sen Memorial Hospital Guangzhou ChinaDepartment of Orthopaedics and Traumatology, School of Clinical Medicine, Faculty of Medicine The University of Hong Kong Hong Kong Hong KongABSTRACT Background By simultaneously staining multiple immunomarkers on a single tissue section, multiplexed immunohistochemistry (mIHC) enhances the amount of information that can be observed in a single tissue section and thus can be a powerful tool to visualise cellular interactions directly in the tumour microenvironment. Performing mIHC remains technically and practically challenging, and this technique has many limitations if not properly validated. However, with proper validation, heterogeneity between histopathological images can be avoided. Aims This review aimed to summarize the currently used methods and to propose a standardised method for effective mIHC. Materials and Methods An extensive literature review was conducted to identify different methods currently in use for mIHC. Results Guidelines for antibody selection, panel design, antibody validation and analytical strategies are given. The advantages and disadvantages of each method are discussed. Conclusion This review summarizes widely used pathology imaging software and discusses the potential for automation of pathology image analysis so that mIHC technology can be a truly powerful tool for research as well as clinical use.https://doi.org/10.1002/cam4.70523cancerhistopathologyIHCmIHCmultiplex immunohistochemistrytumour biomarkers |
spellingShingle | Aria Kaiyuan Sun Song Fan Siu Wai Choi Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation Cancer Medicine cancer histopathology IHC mIHC multiplex immunohistochemistry tumour biomarkers |
title | Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation |
title_full | Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation |
title_fullStr | Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation |
title_full_unstemmed | Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation |
title_short | Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation |
title_sort | exploring multiplex immunohistochemistry mihc techniques and histopathology image analysis current practice and potential for clinical incorporation |
topic | cancer histopathology IHC mIHC multiplex immunohistochemistry tumour biomarkers |
url | https://doi.org/10.1002/cam4.70523 |
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