癌症免疫治疗学会:多元免疫组织化学(IHC)和免疫荧光(IF)图像分析和数据共享的最新进展和最佳实践。

IF 10.3 1区 医学 Q1 IMMUNOLOGY
Janis M Taube, Joel C Sunshine, Michael Angelo, Guray Akturk, Margaret Eminizer, Logan L Engle, Cláudia S Ferreira, Sacha Gnjatic, Benjamin Green, Shirley Greenbaum, Noah F Greenwald, Cyrus V Hedvat, Travis J Hollmann, Daniel Jiménez-Sánchez, Konstanty Korski, Ana Lako, Edwin R Parra, Marlon C Rebelatto, David L Rimm, Scott J Rodig, Jamie Rodriguez-Canales, Jeffrey S Roskes, Kurt A Schalper, Emanuel Schenck, Keith E Steele, Michael J Surace, Alexander S Szalay, Michael T Tetzlaff, Ignacio I Wistuba, Jennifer H Yearley, Carlo B Bifulco
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引用次数: 0

摘要

目的:多重免疫组织化学和免疫荧光(mIHC/IF)是新兴技术,可用于帮助定义组织中复杂的免疫表型,量化免疫细胞亚群,并评估标记物表达的空间排列。在应用于载玻片之前,mIHC/IF检测需要协调一致的努力来优化和验证多重染色方案。该工作组之前发布了跨平台的mIHC/IF染色和验证的最佳实践指南。目前的工作是mIHC/IF分析的补充手稿,重点是相关的图像分析和数据管理。方法:癌症免疫治疗学会召集了一个由学术中心的病理学家和实验室负责人以及制药和诊断公司的专家组成的工作组,为mIHC/IF输出的定量图像分析和数据管理考虑事项制定最佳实践指南。结果:对图像采集、颜色反卷积和光谱分解、组织和细胞分割、表型和算法验证的最佳实践方法进行了回顾。附加的质量控制(QC)措施,如批对批的校正和对组装图像的QC也进行了讨论。包括分享原始输出、处理结果、关键分析程序和源代码以及来自mIHC/IF分析的代表性显微照片的建议。最后,介绍了多机构协调工作。结论:mIHC/IF技术正在走向成熟,并被常规纳入研究并走向临床应用。关于如何对mIHC/ if染色的载玻片进行图像分析并使其标准化的指南可能有助于在实验室中获得更多可比较的结果,并为临床实施铺平道路。该工作组将在第三份出版物中提供一份清单,其中包括从定量mIHC/IF测定中生成可靠数据的两部分指南。虽然目前的工作主要集中在表征肿瘤微环境的最佳实践上,但这些原则广泛适用于任何mIHC/IF检测和相关的图像分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing.

Objectives: Multiplex immunohistochemistry and immunofluorescence (mIHC/IF) are emerging technologies that can be used to help define complex immunophenotypes in tissue, quantify immune cell subsets, and assess the spatial arrangement of marker expression. mIHC/IF assays require concerted efforts to optimize and validate the multiplex staining protocols prior to their application on slides. The best practice guidelines for staining and validation of mIHC/IF assays across platforms were previously published by this task force. The current effort represents a complementary manuscript for mIHC/IF analysis focused on the associated image analysis and data management.

Methods: The Society for Immunotherapy of Cancer convened a task force of pathologists and laboratory leaders from academic centers as well as experts from pharmaceutical and diagnostic companies to develop best practice guidelines for the quantitative image analysis of mIHC/IF output and data management considerations.

Results: Best-practice approaches for image acquisition, color deconvolution and spectral unmixing, tissue and cell segmentation, phenotyping, and algorithm verification are reviewed. Additional quality control (QC) measures such as batch-to-batch correction and QC for assembled images are also discussed. Recommendations for sharing raw outputs, processed results, key analysis programs and source code, and representative photomicrographs from mIHC/IF assays are included. Lastly, multi-institutional harmonization efforts are described.

Conclusions: mIHC/IF technologies are maturing and are routinely included in research studies and moving towards clinical use. Guidelines for how to perform and standardize image analysis on mIHC/IF-stained slides will likely contribute to more comparable results across laboratories and pave the way for clinical implementation. A checklist encompassing these two-part guidelines for the generation of robust data from quantitative mIHC/IF assays will be provided in a third publication from this task force. While the current effort is mainly focused on best practices for characterizing the tumor microenvironment, these principles are broadly applicable to any mIHC/IF assay and associated image analysis.

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来源期刊
Journal for Immunotherapy of Cancer
Journal for Immunotherapy of Cancer Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
17.70
自引率
4.60%
发文量
522
审稿时长
18 weeks
期刊介绍: The Journal for ImmunoTherapy of Cancer (JITC) is a peer-reviewed publication that promotes scientific exchange and deepens knowledge in the constantly evolving fields of tumor immunology and cancer immunotherapy. With an open access format, JITC encourages widespread access to its findings. The journal covers a wide range of topics, spanning from basic science to translational and clinical research. Key areas of interest include tumor-host interactions, the intricate tumor microenvironment, animal models, the identification of predictive and prognostic immune biomarkers, groundbreaking pharmaceutical and cellular therapies, innovative vaccines, combination immune-based treatments, and the study of immune-related toxicity.
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