Analysis of clonal expansion and crosstalk in the adaptive immune system in non-small cell lung cancer 3495

Abstract Description Objectives The adaptive immune system plays a critical role in the anti-tumor response. Understanding the crosstalk between these immune cell subsets could uncover novel therapeutic opportunities in non-small cell lung cancer (NSCLC). Methods Single-cell RNA sequencing (scRNA-seq) and immune repertoire sequencing were applied to CD4+ T cells, CD8+ T cells, and B cells isolated from tumor and matched normal tissues of three NSCLC patients. Findings were validated using publicly available datasets. Results Naïve CD4+ T cells were the predominant cell type across samples, while effector memory and cycling T cells exhibited the most significant clonal expansion. Clonally expanded T and B cell populations were detected in tumor samples from all patients. Antibody-secreting cells showed the highest clonal overlap with atypical memory B cells, suggesting an extrafollicular differentiation pathway. Ligand-receptor analysis identified the CCL5-CCR1 signaling axis as a potential interaction pathway between atypical memory B cells and clonally expanded effector memory T cells. Conclusion The integration of scRNA-seq and immune repertoire analysis provides a powerful tool to study the adaptive immune response in NSCLC. The CCL5-CCR1 axis may represent a novel mechanism linking T and B cell interactions in the tumor microenvironment, warranting further exploration for therapeutic targeting. Funding Sources Supported by the Austrian Research Promotion Agency (FFG). Topic Categories Tumor Immunology: Cellular Responses and Tumor Microevironment (TIME)

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Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.1291
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Analysis of clonal expansion and crosstalk in the adaptive immune system in non-small cell lung cancer 3495

Susan Sánchez, Oliver Kindler, Joerg Lindenmann, Julia Kargl et al.
The Journal of Immunology
Single-cell and spatial transcriptomics
article

Analysis of clonal expansion and crosstalk in the adaptive immune system in non-small cell lung cancer 3495

Susan Sánchez, Oliver Kindler, Joerg Lindenmann, Julia Kargl, Sofia Raftopoulou, Kathrin Maitz, Luka Brčić, Ingeborg Klymiuk, Ana Luísa, Zala Juvan
article en

Abstract

Abstract Description Objectives The adaptive immune system plays a critical role in the anti-tumor response. Understanding the crosstalk between these immune cell subsets could uncover novel therapeutic opportunities in non-small cell lung cancer (NSCLC). Methods Single-cell RNA sequencing (scRNA-seq) and immune repertoire sequencing were applied to CD4+ T cells, CD8+ T cells, and B cells isolated from tumor and matched normal tissues of three NSCLC patients. Findings were validated using publicly available datasets. Results Naïve CD4+ T cells were the predominant cell type across samples, while effector memory and cycling T cells exhibited the most significant clonal expansion. Clonally expanded T and B cell populations were detected in tumor samples from all patients. Antibody-secreting cells showed the highest clonal overlap with atypical memory B cells, suggesting an extrafollicular differentiation pathway. Ligand-receptor analysis identified the CCL5-CCR1 signaling axis as a potential interaction pathway between atypical memory B cells and clonally expanded effector memory T cells. Conclusion The integration of scRNA-seq and immune repertoire analysis provides a powerful tool to study the adaptive immune response in NSCLC. The CCL5-CCR1 axis may represent a novel mechanism linking T and B cell interactions in the tumor microenvironment, warranting further exploration for therapeutic targeting. Funding Sources Supported by the Austrian Research Promotion Agency (FFG). Topic Categories Tumor Immunology: Cellular Responses and Tumor Microevironment (TIME)

The Journal of ImmunologyVol. 214(Supplement_1)
University of Graz (AT), Medical University of Graz (AT)
Openalex Percentile: Top 68%
Single-cell and spatial transcriptomics
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