Simultaneous Quantification of Multiple Immune Checkpoint Interactions in Melanoma

Background/Objectives: Immune checkpoint inhibitors (ICIs) have transformed the therapeutic landscape of advanced malignancies. However, only a subset of patients respond to treatment. Recent efforts have focused on the identification of novel biomarkers that capture the dynamic and functional state of the tumour immune microenvironment, yet their clinical translation has remained challenging. Methods: To address these limitations, we applied amplified FRET-FLIM (QF-Pro®) technology to spatially resolve and quantitatively assess functional immune checkpoint interactions directly in cells and FFPE tissue and tumour samples. Results: Using this approach, we demonstrated that PD-1/PD-L1, CTLA-4/CD80, TIGIT/CD155, and LAG-3/MHC-II interactions can be robustly quantified in routine FFPE patient samples from multiple tumour types. Furthermore, in a proof-of-concept study in a melanoma cohort treated with immune checkpoint inhibitors (ICIs) targeting PD-1 or CTLA-4, co-analysis of all four immune checkpoints suggested patterns of concomitant engagement. Notably, patients with high PD-1/PD-L1 interaction levels tended to also exhibit elevated CTLA-4/CD80 interactions. Survival analysis further showed that high LAG-3/MHC-II interaction status was associated with a trend toward improved overall survival even when corrected for tumour stage, irrespective of the specific ICI regimen administered. Conclusions: Although prospective validation in larger independent cohorts would be critical to establish clinical relevance, these findings support the exploration of LAG-3 engagement as a potential biomarker in melanoma immunotherapy, and more broadly highlight immune checkpoint interaction profiling as a promising avenue to examine in patient stratification.

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Publication Details

Journal
Journal of Clinical Medicine
Published
2026-07-23
DOI
https://doi.org/10.3390/jcm15155771
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00

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article

Simultaneous Quantification of Multiple Immune Checkpoint Interactions in Melanoma

James Miles, Salvador Martín‐Algarra, Véronique Calleja, Juan Gumuzio et al.
Journal of Clinical Medicine
Cancer Immunotherapy and Biomarkers
article

Simultaneous Quantification of Multiple Immune Checkpoint Interactions in Melanoma

James Miles, Salvador Martín‐Algarra, Véronique Calleja, Juan Gumuzio, Cristina Cacho-Navas, Baterdene Batmunkh, Markel Rementeria, Jose Maria Gracia, Laura Camacho, Fernando Aguirre, Carlos E. de Andrea, Jon Agüero, Peter J. Parker
article en

Abstract

Background/Objectives: Immune checkpoint inhibitors (ICIs) have transformed the therapeutic landscape of advanced malignancies. However, only a subset of patients respond to treatment. Recent efforts have focused on the identification of novel biomarkers that capture the dynamic and functional state of the tumour immune microenvironment, yet their clinical translation has remained challenging. Methods: To address these limitations, we applied amplified FRET-FLIM (QF-Pro®) technology to spatially resolve and quantitatively assess functional immune checkpoint interactions directly in cells and FFPE tissue and tumour samples. Results: Using this approach, we demonstrated that PD-1/PD-L1, CTLA-4/CD80, TIGIT/CD155, and LAG-3/MHC-II interactions can be robustly quantified in routine FFPE patient samples from multiple tumour types. Furthermore, in a proof-of-concept study in a melanoma cohort treated with immune checkpoint inhibitors (ICIs) targeting PD-1 or CTLA-4, co-analysis of all four immune checkpoints suggested patterns of concomitant engagement. Notably, patients with high PD-1/PD-L1 interaction levels tended to also exhibit elevated CTLA-4/CD80 interactions. Survival analysis further showed that high LAG-3/MHC-II interaction status was associated with a trend toward improved overall survival even when corrected for tumour stage, irrespective of the specific ICI regimen administered. Conclusions: Although prospective validation in larger independent cohorts would be critical to establish clinical relevance, these findings support the exploration of LAG-3 engagement as a potential biomarker in melanoma immunotherapy, and more broadly highlight immune checkpoint interaction profiling as a promising avenue to examine in patient stratification.

Journal of Clinical MedicineVol. 15(15)
The Francis Crick Institute (GB), London Cancer (GB), Euskadiko Parke Teknologikoa (ES), Fastbase Solutions (Spain) (ES), Clinica Universidad de Navarra (ES), Universidad de Navarra (ES)
Centro para el Desarrollo Tecnológico Industrial, Agencia Estatal de Investigación
Good health and well-being
Openalex Percentile: Top 12%
Cancer Immunotherapy and Biomarkers
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