Characterization of the immune microenvironment of NSCLC by multispectral analysis of multiplex immunofluorescence images

被引：11

作者：

Surace, Michael ^{[1
]}

Rognoni, Lorenz ^{[2
]}

Rodriguez-Canales, Jaime ^{[1
]}

Steele, Keith E. ^{[1
]}

机构：

[1] AstraZeneca, Gaithersburg, MD 20878 USA

[2] Definiens AG, Munich, Germany

来源：

TUMOR IMMUNOLOGY AND IMMUNOTHERAPY - INTEGRATED METHODS, PT A | 2020年 / 635卷

关键词：

PD-1; BLOCKADE; TUMOR; RESPONSES;

D O I：

10.1016/bs.mie.2019.07.039

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Multiplex immunofluorescence (MIF) staining of tumor sections combined with computational pathology quantifies phenotypic variants of tumor and immune cells and assesses their spatial relationships. Here, we discuss a MIF panel composed of cytokeratin, PD-L1, PD1, CD8, CD68, and Ki67 applied to non-small cell lung cancer (NSCLC) to demonstrate key components of the immune response to this cancer. We also describe a method of whole-slide multiplex imaging and digital multispectral image analysis. Key aspects of marker labeling and digital tissue and cellular classification are highlighted. We then illustrate how digital analysis can measure the spatial relationships among important cell types. This approach is presented in the context of a multidisciplinary team of scientists who together can optimize the combined methods to increase the impact of the study findings. Recommendations are provided to assist others to apply similar methods to further understand the immune response to NSCLC.

引用

页码：33 / 50

页数：18

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