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Peer-reviewedCC BY 4.0Frontiers in Immunology

Distinct spatial immune architectures in tumor and tumor-adjacent tissues of early-stage non-small cell lung cancer

13 more authors
7 affiliations
  1. 1Graduate Program in Diagnostic Genetics and Genomics, School of Health Professions, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  2. 2Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  3. 3Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  4. 4Department of Computer Science, Rice University, Houston, TX, United States
  5. 5Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  6. 6Department of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  7. 7Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

Abstract

Background: Lung cancer remains the leading cause of cancer-related deaths in the United States, with over 124,000 estimated deaths for 2026. Previous studies have found that tumor-adjacent lung tissues may provide additional insight into the immune microenvironment of early-stage NSCLC.

Methods: Multiplex immunofluorescence (mIF) imaging was performed on 192 tissues from 101 early-stage non-small cell lung cancer patients including 91 matched tumor-adjacent pairs, using three mIF panels. Spatial analyses were performed to identify distinctions between tissues and identify associations with clinical and genomic features.

Results: Tumor tissue showed significantly higher densities of T cells, macrophages, B cells, and memory/regulatory populations than adjacent tissue (p<0.001). Tumors exhibited greater spatial heterogeneity, with higher prevalence of spatial patterning (47.7% vs. 31.2%) and more consistently localized organization, whereas adjacent tissue showed stronger individual-cell clustering. Pairwise colocalization (Ripley’s L-cross) revealed selective spatial segregation in tumors (including B cells from memory/regulatory cells and among cytotoxic T-cell subsets) and reduced immune proximity to malignant cells relative to the strong immune–epithelial association in adjacent tissue. Spatial features were linked to genomic features or patient outcomes: tumor neoantigen burden exhibited a positive association with CD3+ T cells in the tumor, while colocalization between CD45RO+CD57+GZMB+ cells and CD57+GZMB+ cells was negatively associated with overall survival outside the tumor.

Conclusion: Tumor and adjacent tissues harbor distinct spatial immune architectures, with spatial features displaying associations with genomic features and patient outcomes. These findings highlight immune microenvironment reorganization and the importance of incorporating spatial context from both compartments into risk assessment in NSCLC.

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BibTeX
@article{polic2026distinct,
  title = {{Distinct spatial immune architectures in tumor and tumor-adjacent tissues of early-stage non-small cell lung cancer}},
  author = {Isabella Polic and Claudio Arrechedera and Jared K. Slone and Amanda Montoya and Emily Bontekoe and Peixin Jiang and Anika Patel and Tatiana V. Karpinets and Xiaogang Wu and Xingzhi Song and Qianyun Luo and Heladio Ibarguen and Auriole Tamegnon and Mei Jiang and Cara Haymaker and Annikka Weissferdt and Ara A. Vaporciyan and Lydia E. Kavraki and Tina Cascone and Ignacio Wistuba and Luisa Maren Solis Soto and John V. Heymach and Jianjun Zhang and Don L. Gibbons and Alexandre Reuben},
  journal = {Frontiers in Immunology},
  year = {2026},
  month = oct,
  doi = {10.3389/fimmu.2026.1981839},
  url = {https://doi.org/10.3389/fimmu.2026.1981839},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Distinct spatial immune architectures in tumor and tumor-adjacent tissues of early-stage non-small cell lung cancer
AU  - Isabella Polic
AU  - Claudio Arrechedera
AU  - Jared K. Slone
AU  - Amanda Montoya
AU  - Emily Bontekoe
AU  - Peixin Jiang
AU  - Anika Patel
AU  - Tatiana V. Karpinets
AU  - Xiaogang Wu
AU  - Xingzhi Song
AU  - Qianyun Luo
AU  - Heladio Ibarguen
AU  - Auriole Tamegnon
AU  - Mei Jiang
AU  - Cara Haymaker
AU  - Annikka Weissferdt
AU  - Ara A. Vaporciyan
AU  - Lydia E. Kavraki
AU  - Tina Cascone
AU  - Ignacio Wistuba
AU  - Luisa Maren Solis Soto
AU  - John V. Heymach
AU  - Jianjun Zhang
AU  - Don L. Gibbons
AU  - Alexandre Reuben
PY  - 2026
DA  - 2026/10/12
JO  - Frontiers in Immunology
DO  - 10.3389/fimmu.2026.1981839
UR  - https://doi.org/10.3389/fimmu.2026.1981839
AB  - Background: Lung cancer remains the leading cause of cancer-related deaths in the United States, with over 124,000 estimated deaths for 2026. Previous studies have found that tumor-adjacent lung tissues may provide additional insight into the immune microenvironment of early-stage NSCLC.  Methods: Multiplex immunofluorescence (mIF) imaging was performed on 192 tissues from 101 early-stage non-small cell lung cancer patients including 91 matched tumor-adjacent pairs, using three mIF panels. Spatial analyses were performed to identify distinctions between tissues and identify associations with clinical and genomic features.  Results: Tumor tissue showed significantly higher densities of T cells, macrophages, B cells, and memory/regulatory populations than adjacent tissue (p<0.001). Tumors exhibited greater spatial heterogeneity, with higher prevalence of spatial patterning (47.7% vs. 31.2%) and more consistently localized organization, whereas adjacent tissue showed stronger individual-cell clustering. Pairwise colocalization (Ripley’s L-cross) revealed selective spatial segregation in tumors (including B cells from memory/regulatory cells and among cytotoxic T-cell subsets) and reduced immune proximity to malignant cells relative to the strong immune–epithelial association in adjacent tissue. Spatial features were linked to genomic features or patient outcomes: tumor neoantigen burden exhibited a positive association with CD3+ T cells in the tumor, while colocalization between CD45RO+CD57+GZMB+ cells and CD57+GZMB+ cells was negatively associated with overall survival outside the tumor.  Conclusion: Tumor and adjacent tissues harbor distinct spatial immune architectures, with spatial features displaying associations with genomic features and patient outcomes. These findings highlight immune microenvironment reorganization and the importance of incorporating spatial context from both compartments into risk assessment in NSCLC.
SN  - 1664-3224
ER  -