Spatial heterogeneity of infiltrating immune cells in the tumor microenvironment of non-small cell lung cancer

Tumor-infiltrating lymphocytes (TILs) are essential components of the tumor microenvironment (TME) of non-small cell lung cancer (NSCLC). Still, it is difficult to describe due to their heterogeneity. In this study, five cell markers from NSCLC patients were analyzed. We segmented tumor cells (TCs) and TILs using Efficientnet-B3 and explored their quantitative information and spatial distribution. After that, we simulated multiplex immunohistochemistry (mIHC) by overlapping continuous single chromogenic IHCs slices. As a result, the proportion and the density of programmed cell death-ligand 1 (PD-L1)-positive TCs were the highest in the core. CD8+ T cells were the closest to the tumor (median distance: 41.71 μm), while PD-1+T cells were the most distant (median distance: 62.2μm), and our study found that most lymphocytes clustered together within the peritumoral range of 10-30 μm where cross-talk with TCs could be achieved. We also found that the classification of TME could be achieved using CD8+ T-cell density, which is correlated with the prognosis of patients. In addition, we achieved single chromogenic IHC slices overlap based on CD4-stained IHC slices. We explored the number and spatial distribution of cells in heterogeneous TME of NSCLC patients and achieved TME classification. We also found a way to show the co-expression of multiple molecules economically.

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Publication Details

Journal
Translational Oncology
Published
2024-10-03
DOI
https://doi.org/10.1016/j.tranon.2024.102143
Citations
11
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
3.11

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article

Spatial heterogeneity of infiltrating immune cells in the tumor microenvironment of non-small cell lung cancer

Xinyue Liu, Kandi Xu, Yujin Liu, You‐Wen Qian et al.
11 citations
Translational Oncology
Cancer Immunotherapy and Biomarkers
3.11
article

Spatial heterogeneity of infiltrating immune cells in the tumor microenvironment of non-small cell lung cancer

Xinyue Liu, Kandi Xu, Yujin Liu, You‐Wen Qian, Haoyue Guo, Lishu Zhao, Yan Kong, Yayi He, Hao Wang, Li Ye, Hui Lu
article en
11 citations

Abstract

Tumor-infiltrating lymphocytes (TILs) are essential components of the tumor microenvironment (TME) of non-small cell lung cancer (NSCLC). Still, it is difficult to describe due to their heterogeneity. In this study, five cell markers from NSCLC patients were analyzed. We segmented tumor cells (TCs) and TILs using Efficientnet-B3 and explored their quantitative information and spatial distribution. After that, we simulated multiplex immunohistochemistry (mIHC) by overlapping continuous single chromogenic IHCs slices. As a result, the proportion and the density of programmed cell death-ligand 1 (PD-L1)-positive TCs were the highest in the core. CD8+ T cells were the closest to the tumor (median distance: 41.71 μm), while PD-1+T cells were the most distant (median distance: 62.2μm), and our study found that most lymphocytes clustered together within the peritumoral range of 10-30 μm where cross-talk with TCs could be achieved. We also found that the classification of TME could be achieved using CD8+ T-cell density, which is correlated with the prognosis of patients. In addition, we achieved single chromogenic IHC slices overlap based on CD4-stained IHC slices. We explored the number and spatial distribution of cells in heterogeneous TME of NSCLC patients and achieved TME classification. We also found a way to show the co-expression of multiple molecules economically.

Translational OncologyVol. 50
Tongji University (CN), Second Military Medical University (CN), Shanghai Jiao Tong University (CN), Shanghai Pulmonary Hospital (CN), Eastern Hepatobiliary Surgery Hospital (CN), Center for Life Sciences (CN)
China Association for Science and Technology, National Natural Science Foundation of China, Shanghai Pulmonary Hospital, Key Technologies Research and Development Program, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Good health and well-being
Openalex Percentile: Top 7%
Cancer Immunotherapy and Biomarkers
3.11
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