File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation

TitleExploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation
Authors
Keywordscancer
histopathology
IHC
mIHC
multiplex immunohistochemistry
tumour biomarkers
Issue Date1-Jan-2025
PublisherWiley
Citation
Cancer Medicine, 2025, v. 14, n. 1 How to Cite?
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.


Persistent Identifierhttp://hdl.handle.net/10722/364176
ISSN
2023 Impact Factor: 2.9
2023 SCImago Journal Rankings: 1.174

 

DC FieldValueLanguage
dc.contributor.authorSun, Aria Kaiyuan-
dc.contributor.authorFan, Song-
dc.contributor.authorChoi, Siu Wai-
dc.date.accessioned2025-10-25T00:35:18Z-
dc.date.available2025-10-25T00:35:18Z-
dc.date.issued2025-01-01-
dc.identifier.citationCancer Medicine, 2025, v. 14, n. 1-
dc.identifier.issn2045-7634-
dc.identifier.urihttp://hdl.handle.net/10722/364176-
dc.description.abstract<p>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.</p>-
dc.languageeng-
dc.publisherWiley-
dc.relation.ispartofCancer Medicine-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectcancer-
dc.subjecthistopathology-
dc.subjectIHC-
dc.subjectmIHC-
dc.subjectmultiplex immunohistochemistry-
dc.subjecttumour biomarkers-
dc.titleExploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation-
dc.typeArticle-
dc.identifier.doi10.1002/cam4.70523-
dc.identifier.pmid39764760-
dc.identifier.scopuseid_2-s2.0-85214239789-
dc.identifier.volume14-
dc.identifier.issue1-
dc.identifier.eissn2045-7634-
dc.identifier.issnl2045-7634-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats