Abstract Background: Immune checkpoint inhibitors have transformed non-small cell lung cancer (NSCLC) treatment, yet durable benefit remains limited. Current biomarkers, such as PD-L1 immunohistochemistry (IHC), measure protein abundance rather than functional PD1-ligand engagement and therefore provide limited predictive value. The second PD1 ligand, PD-L2, has often been ignored, but may influence immune regulation in the cellular context. Therefore, the activation of the PD1-PD-L1 axis is not sufficient to explain clinically relevant immune mechanisms. Methods: We analyzed a tissue microarray of early-stage, surgically resected NSCLC (N=345), a cohort previously extensively immunoprofiled, including PD-L1 IHC and PD1-PD-L1 proximity ligation assay (PLA) 1. We extended this work using fluorescent PLA (co-stained for CD3 and pan-cytokeratin) to visualize PD1-PD-L2 interactions across tumor, stromal, and T-cell compartments, alongside PD-L2 protein expression by IHC. Image analysis was performed in QuPath. Results: In normal lung, PD-L2 was primarily expressed on macrophages and occasional granulocytes. Among tumors, squamous cell carcinomas (SqCC) showed higher PD-L2 expression than adenocarcinomas (AD) (p=0.003) and increased PD1-PD-L2 interactions (p=0.047), consistent with greater immune infiltration. Notably, amplification of 9p24.1, including the PD-L1 and PD-L2 locus, was also observed more frequent in SqCC. PD1-PD-L2 interactions displayed a distinct immune contexture from PD1-PD-L1. Within tumor cell compartment, PD1-PD-L2 correlated only weakly with CD4+, CD8+, CD163+, FoxP3+, PD1, and PD-L1, while PD1-PD-L1 showed strong associations with these immune populations, indicating partly distinct mechanisms of immune regulation. In the stroma, both ligands showed more similar immune-association patterns. Clinically, high PD1-PD-L1 interaction was generally associated with better prognosis. In contrast, PD1-PD-L2 interaction in SqCC showed only a trend toward better survival (p=0.061), whereas in AD it demonstrated a trend toward shorter survival (p=0.092). Also, compartment-specific PD1-PD-L2 interactions in the tumor stroma were associated with poor prognosis, particularly in SqCC with T cell-rich stroma (p=0.033). Conclusion: Our findings suggest that PD1-PD-L2 represents a spatially and biologically distinct checkpoint axis in NSCLC, differing from PD1-PD-L1 in immune phenotypes and clinical associations. Including PD-L2-specific interaction analyses may enhance understanding of checkpoint biology and support refined patient stratification, particularly in SqCC, where PD-L2 co-amplification and upregulation appear to be more common. References: 1 Lindberg A, Muhl L, Yu H, et al. J Thorac Oncol. 2025;20:625-640. Citation Format: Anna Gorbunova, Amanda Lindberg, Lars Muhl, Ghazal Lessan Toussi, Hui Yu, Patrick Micke, Carina Strell. Spatial mapping of PD1-PD-L2 interactions suggests an additional checkpoint axis in non-small cell lung cancer abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2820.
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Gorbunova et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69d1fdbfa79560c99a0a40ba — DOI: https://doi.org/10.1158/1538-7445.am2026-2820
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Anna Gorbunova
Amanda Lindberg
Lars Muhl
Cancer Research
Karolinska Institutet
Uppsala University
University of Bergen
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