Literature DB >> 32122552

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

Michael Surace1, Lorenz Rognoni2, Jaime Rodriguez-Canales1, Keith E Steele3.   

Abstract

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.
© 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer; Image analysis; Immuno-oncology; Multiplex immunofluorescence; Non-small cell lung cancer; Tumor microenvironment

Mesh:

Substances:

Year:  2019        PMID: 32122552     DOI: 10.1016/bs.mie.2019.07.039

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  2 in total

1.  Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images.

Authors:  Fuyong Xing; Toby C Cornish; Tellen D Bennett; Debashis Ghosh
Journal:  IEEE Trans Med Imaging       Date:  2021-09-30       Impact factor: 11.037

2.  Relationship Between Programmed Death Ligand 1 Expression and Other Clinicopathological Features in a Large Cohort of Gastric Cancer Patients.

Authors:  Xinhua Chen; Huimin Zhang; Minghao Wang; Hao Liu; Yanfeng Hu; Tian Lin; Hao Chen; Mingli Zhao; Tao Chen; Guoxin Li; Jiang Yu; Liying Zhao
Journal:  Front Immunol       Date:  2022-03-25       Impact factor: 7.561

  2 in total

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