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. 2025 May;20(5):625-640.
doi: 10.1016/j.jtho.2024.12.026. Epub 2024 Dec 30.

In Situ Detection of Programmed Cell Death Protein 1 and Programmed Death Ligand 1 Interactions as a Functional Predictor for Response to Immune Checkpoint Inhibition in NSCLC

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Free article

In Situ Detection of Programmed Cell Death Protein 1 and Programmed Death Ligand 1 Interactions as a Functional Predictor for Response to Immune Checkpoint Inhibition in NSCLC

Amanda Lindberg et al. J Thorac Oncol. 2025 May.
Free article

Abstract

Introduction: Immune checkpoint inhibitors (ICIs) have transformed lung cancer treatment, yet their effectiveness seem restricted to certain patient subsets. Current clinical stratification on the basis of programmed death ligand 1 (PD-L1) expression offers limited predictive value. Given the mechanism of action, directly detecting spatial programmed cell death protein 1 (PD1)-PD-L1 interactions might yield more precise insights into immune responses and treatment outcomes.

Methods: We applied a second-generation in situ proximity ligation assay to detect PD1-PD-L1 interactions in diagnostic tissue samples from 16 different cancer types, a tissue microarray with surgically resected early-stage NSCLC, and finally diagnostic biopsies from 140 patients with advanced NSCLC with and without ICI treatment. RNA sequencing analysis was used to identify potential resistance mechanisms.

Results: In the early-stage NSCLC, only approximately half of the cases with detectable PD-L1 and PD1 expression exhibited PD1-PD-L1 interactions, with significantly lower levels in EGFR-mutated tumors. Interaction levels varied across cancer types, aligning with reported ICI response rates. In ICI-treated patients with NSCLC, higher PD1-PD-L1 interactions were linked to complete responses and longer survival, outperforming standard PD-L1 expression assays. Patients who did not respond to ICIs despite high PD1-PD-L1 interactions exhibited additional expression of stromal immune mediators (EOMES, HAVCR1/TIM-1, JAML, FCRL1).

Conclusion: Our study proposes a diagnostic shift from static biomarker quantification to assessing active immune pathways, providing more precise ICI treatment. This functional concept applies to tiny lung biopsies and can be extended to further immune checkpoints. Accordingly, our results indicate concerted ICI resistance mechanisms, highlighting the need for combination diagnostics and therapies.

Keywords: Immune checkpoint inhibitor; Programmed cell death protein 1; Programmed death ligand 1; Proximity ligation assay; non–small cell lung cancer.

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Conflict of interest statement

Disclosure Dr. Botling received grants to institution from Amgen and Bristol-Myers Squibb and received personal honoraria from Astra Zeneca, Merck Sharp & Dohme, Roche, Pfizer, Bristol-Myers Squibb, Boehringer-Ingelheim, Novartis, GSK, Lilly, Amgen, Incyte, Daiichi, and Sanofi. Dr. Kärre received personal honoraria from Segulah Medical Acceleration and Anocca AB and is pro bono secretary general at the European Academy for Cancer Sciences and received travel support from them. Dr. Isaksson is a scientific board member and received honoraria for lectures from Amgen, Astra Zeneca, Bristol-Myers Squibb, Merck Sharp & Dohme, and Roche; and is a pro bono committee member of the Swedish Lung Cancer Study Group. Dr. Strell received research reagents (to institution) from Navinci Diagnostics AB. The remaining authors declare no conflict of interest.

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