Functional binding of PD-1 ligands: Overcoming PD-L1 staining limitations to predict therapy response.

2581 Background: Immune-checkpoint blockade (ICB) targeting the PD-1/PD-L1 axis has improved outcomes across multiple malignancies, yet response prediction remains unreliable due to fundamental limitations of PD-L1 immunohistochemistry (IHC). As a static expression assay, PD-L1 IHC does not capture functional ligand engagement, does not account for PD-L2 contributions to PD-1 signaling, and is confounded by N-glycosylation that masks epitopes and distorts measurable abundance. These mechanistic gaps undermine biomarker accuracy and impede appropriate patient selection. To overcome these limitations, we established IcAR-PD1, a functional reporter system designed to quantify the true biological availability of PD-L1 and PD-L2 for therapeutic blockade by anti-PD-1/PD-L1 ICBs. Methods: We conducted a double-blinded retrospective study spanning multiple tumor types. IcAR-PD1 scores from patient-derived samples were correlated with clinical outcomes to anti-PD1 therapy and benchmarked against PD-L1 IHC, evaluating predictive accuracy, response probability, and duration-of-response. To define how PD-L1 N-glycosylation modulates inhibitory signaling and drug susceptibility, IcAR-PD1 was combined with a full four-site glycosylation mutation array and validated using primary CD8⁺ T-cell cytotoxicity assays. Results: IcAR-PD1 demonstrated markedly superior predictive power compared with PD-L1 IHC, achieving AUCs of 0.87–0.92 versus 0.55–0.62. High IcAR-PD1 scores aligned with >90% response probability and >3-fold longer median duration-of-response (p<0.01). Incorporation of PD-L2 activity and direct measurement of functional ligand availability explained the improved performance across tumor types. Glycosylation analysis showed that fully glycosylated PD-L1 reduced blockade efficiency, with anti-PD1 treatments markedly more sensitive to glycan status than anti-PDL1. Loss of the N35 site diminished anti-PD1 efficacy by increasing release of functional soluble PD-L1, partially affecting anti-PDL1 activity. The non-glycosylated Nx4 variant displayed enhanced susceptibility to both therapies, with a disproportionately greater improvement for anti-PD1 blockade. Conclusions: IcAR-PD1 resolves the major limitations of PD-L1 IHC by quantifying functional ligand activity, incorporating PD-L2 contribution, and revealing glycosylation-driven resistance mechanisms. These findings support IcAR-PD1 as a precise, mechanism-based biomarker for selecting patients most likely to benefit from anti-PD1 therapy.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.2581
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
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article

Functional binding of PD-1 ligands: Overcoming PD-L1 staining limitations to predict therapy response.

Moshe Elkabets, Olga Radinsky, Angel Porgador, Bar Kaufman et al.
Journal of Clinical Oncology
Cancer Immunotherapy and Biomarkers
article

Functional binding of PD-1 ligands: Overcoming PD-L1 staining limitations to predict therapy response.

Moshe Elkabets, Olga Radinsky, Angel Porgador, Bar Kaufman, Mark Shlapobersky, Amichay Meirovitz, Alejandro Livoff, Keren Rouvinov, Salem Billan, Adit Ben-Baruch, Tarek Taha
article en

Abstract

2581 Background: Immune-checkpoint blockade (ICB) targeting the PD-1/PD-L1 axis has improved outcomes across multiple malignancies, yet response prediction remains unreliable due to fundamental limitations of PD-L1 immunohistochemistry (IHC). As a static expression assay, PD-L1 IHC does not capture functional ligand engagement, does not account for PD-L2 contributions to PD-1 signaling, and is confounded by N-glycosylation that masks epitopes and distorts measurable abundance. These mechanistic gaps undermine biomarker accuracy and impede appropriate patient selection. To overcome these limitations, we established IcAR-PD1, a functional reporter system designed to quantify the true biological availability of PD-L1 and PD-L2 for therapeutic blockade by anti-PD-1/PD-L1 ICBs. Methods: We conducted a double-blinded retrospective study spanning multiple tumor types. IcAR-PD1 scores from patient-derived samples were correlated with clinical outcomes to anti-PD1 therapy and benchmarked against PD-L1 IHC, evaluating predictive accuracy, response probability, and duration-of-response. To define how PD-L1 N-glycosylation modulates inhibitory signaling and drug susceptibility, IcAR-PD1 was combined with a full four-site glycosylation mutation array and validated using primary CD8⁺ T-cell cytotoxicity assays. Results: IcAR-PD1 demonstrated markedly superior predictive power compared with PD-L1 IHC, achieving AUCs of 0.87–0.92 versus 0.55–0.62. High IcAR-PD1 scores aligned with >90% response probability and >3-fold longer median duration-of-response (p<0.01). Incorporation of PD-L2 activity and direct measurement of functional ligand availability explained the improved performance across tumor types. Glycosylation analysis showed that fully glycosylated PD-L1 reduced blockade efficiency, with anti-PD1 treatments markedly more sensitive to glycan status than anti-PDL1. Loss of the N35 site diminished anti-PD1 efficacy by increasing release of functional soluble PD-L1, partially affecting anti-PDL1 activity. The non-glycosylated Nx4 variant displayed enhanced susceptibility to both therapies, with a disproportionately greater improvement for anti-PD1 blockade. Conclusions: IcAR-PD1 resolves the major limitations of PD-L1 IHC by quantifying functional ligand activity, incorporating PD-L2 contribution, and revealing glycosylation-driven resistance mechanisms. These findings support IcAR-PD1 as a precise, mechanism-based biomarker for selecting patients most likely to benefit from anti-PD1 therapy.

Journal of Clinical OncologyVol. 44(16_suppl)
Ben-Gurion University of the Negev (IL), Tel Aviv University (IL), Western Galilee Hospital (IL), Soroka Medical Center (IL), Rambam Health Care Campus (IL), Barzilai Medical Center (IL), Hanita Coatings (Israel) (IL)
Openalex Percentile: Top 12%
Cancer Immunotherapy and Biomarkers
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