Sun Aria Kaiyuan, Fan Song, Choi Siu Wai
Department of Anaesthesiology, School of Clinical Medicine, Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Guangzhou, China.
Cancer Med. 2025 Jan;14(1):e70523. doi: 10.1002/cam4.70523.
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.
This review aimed to summarize the currently used methods and to propose a standardised method for effective mIHC.
An extensive literature review was conducted to identify different methods currently in use for mIHC.
Guidelines for antibody selection, panel design, antibody validation and analytical strategies are given. The advantages and disadvantages of each method are discussed.
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.
通过在单个组织切片上同时对多种免疫标志物进行染色,多重免疫组织化学(mIHC)增加了在单个组织切片中可观察到的信息量,因此可以成为直接在肿瘤微环境中可视化细胞相互作用的有力工具。进行mIHC在技术和实践上仍然具有挑战性,如果没有经过适当验证,该技术存在许多局限性。然而,经过适当验证,可以避免组织病理学图像之间的异质性。
本综述旨在总结目前使用的方法,并提出一种有效的mIHC标准化方法。
进行了广泛的文献综述,以确定目前用于mIHC的不同方法。
给出了抗体选择、组合设计、抗体验证和分析策略的指南。讨论了每种方法的优缺点。
本综述总结了广泛使用的病理学成像软件,并讨论了病理学图像分析自动化的潜力,以便mIHC技术能够成为研究和临床应用中真正强大的工具。