Characterizing the Tumor Immune Microenvironment with Tyramide-Based Multiplex Immunofluorescence.

IF 3 4区 医学 Q2 ENDOCRINOLOGY & METABOLISM Journal of Mammary Gland Biology and Neoplasia Pub Date : 2020-12-01 Epub Date: 2021-02-15 DOI:10.1007/s10911-021-09479-2
Hidetoshi Mori, Jennifer Bolen, Louis Schuetter, Pierre Massion, Clifford C Hoyt, Scott VandenBerg, Laura Esserman, Alexander D Borowsky, Michael J Campbell
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引用次数: 23

Abstract

Multiplex immunofluorescence (mIF) allows simultaneous antibody-based detection of multiple markers with a nuclear counterstain on a single tissue section. Recent studies have demonstrated that mIF is becoming an important tool for immune profiling the tumor microenvironment, further advancing our understanding of the interplay between cancer and the immune system, and identifying predictive biomarkers of response to immunotherapy. Expediting mIF discoveries is leading to improved diagnostic panels, whereas it is important that mIF protocols be standardized to facilitate their transition into clinical use. Manual processing of sections for mIF is time consuming and a potential source of variability across numerous samples. To increase reproducibility and throughput we demonstrate the use of an automated slide stainer for mIF incorporating tyramide signal amplification (TSA). We describe two panels aimed at characterizing the tumor immune microenvironment. Panel 1 included CD3, CD20, CD117, FOXP3, Ki67, pancytokeratins (CK), and DAPI, and Panel 2 included CD3, CD8, CD68, PD-1, PD-L1, CK, and DAPI. Primary antibodies were first tested by standard immunohistochemistry and single-plex IF, then multiplex panels were developed and images were obtained using a Vectra 3.0 multispectral imaging system. Various methods for image analysis (identifying cell types, determining cell densities, characterizing cell-cell associations) are outlined. These mIF protocols will be invaluable tools for immune profiling the tumor microenvironment.

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基于酪酰胺的多重免疫荧光表征肿瘤免疫微环境。
多重免疫荧光(mIF)允许在单个组织切片上同时检测基于抗体的多个标记物与核反染色。最近的研究表明,mIF正在成为肿瘤微环境免疫分析的重要工具,进一步推进了我们对癌症与免疫系统之间相互作用的理解,并确定了对免疫治疗反应的预测性生物标志物。加速mIF的发现将导致诊断小组的改进,而重要的是,mIF方案必须标准化,以促进其过渡到临床使用。手工处理mIF的切片非常耗时,而且是众多样本之间存在差异的潜在来源。为了提高再现性和吞吐量,我们演示了使用自动滑动染色机结合酰胺信号放大(TSA)的mIF。我们描述了两个旨在表征肿瘤免疫微环境的小组。第1组包括CD3、CD20、CD117、FOXP3、Ki67、全细胞角化蛋白(CK)和DAPI,第2组包括CD3、CD8、CD68、PD-1、PD-L1、CK和DAPI。首先通过标准免疫组织化学和单路IF检测一抗,然后制作多路板,使用Vectra 3.0多光谱成像系统获得图像。各种图像分析方法(识别细胞类型,确定细胞密度,表征细胞-细胞关联)概述。这些mIF协议将成为肿瘤微环境免疫分析的宝贵工具。
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来源期刊
Journal of Mammary Gland Biology and Neoplasia
Journal of Mammary Gland Biology and Neoplasia 医学-内分泌学与代谢
CiteScore
5.30
自引率
4.00%
发文量
22
期刊介绍: Journal of Mammary Gland Biology and Neoplasia is the leading Journal in the field of mammary gland biology that provides researchers within and outside the field of mammary gland biology with an integrated source of information pertaining to the development, function, and pathology of the mammary gland and its function. Commencing in 2015, the Journal will begin receiving and publishing a combination of reviews and original, peer-reviewed research. The Journal covers all topics related to the field of mammary gland biology, including mammary development, breast cancer biology, lactation, and milk composition and quality. The environmental, endocrine, nutritional, and molecular factors regulating these processes is covered, including from a comparative biology perspective.
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