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Characterization of Tumor-immune Microenvironment by High-throughput Image Analysis of CD8 Immunohistochemistry Combined With Modified Masson’s Trichrome
Journal of Histochemistry & Cytochemistry ( IF 3.2 ) Pub Date : 2021-08-05 , DOI: 10.1369/00221554211034935
Charles Havnar 1 , Shari Lau 1 , Jeffrey Hung 1 , Jeff Eastham-Anderson 1 , Carmina Espiritu 1 , Linda Rangell 1 , Hartmut Koeppen 1 , James Ziai 1 , Oded Foreman 1
Affiliation  

With the advent of checkpoint inhibitors, there is increasing need to study the dynamics of CD8+ T-cells in the tumor microenviroment. In this article, we describe a semi-automated method to quantify and interrogate spatial relationships between T-cells and collagenous stroma in human and mouse tissue samples. The assay combines CD8 immunohistochemistry with modified Masson’s trichrome. Slides are scanned and digital images are analyzed using an adjustable MATLAB algorithm, allowing for high-throughput quantification of cytotoxic T-cells and collagen. This method provides a flexible tool for unbiased quantification of T-cells and their interactions with tumor cells and tumor microenvironment in tissue samples.



中文翻译:

通过 CD8 免疫组织化学的高通量图像分析结合改良的马森三色法表征肿瘤免疫微环境

随着检查点抑制剂的出现,越来越需要研究肿瘤微环境中 CD8+ T 细胞的动力学。在本文中,我们描述了一种半自动方法来量化和询问人类和小鼠组织样本中 T 细胞和胶原基质之间的空间关系。该测定法将 CD8 免疫组织化学与改良的马森三色法相结合。使用可调节的 MATLAB 算法扫描载玻片并分析数字图像,从而对细胞毒性 T 细胞和胶原蛋白进行高通量定量。该方法为无偏量化 T 细胞及其与组织样本中肿瘤细胞和肿瘤微环境的相互作用提供了一种灵活的工具。

更新日期:2021-08-07
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