Off-target HLA matches for prediction of response in personalised cancer vaccines: A multi-trial retrospective analysis.

2653 Background: Personalized neoantigen vaccines aim to match epitopes to a patient's HLA genotype, yet many peptides bind promiscuously across multiple HLA alleles. Promiscuous binding may reflect intrinsic peptide properties, including enhanced processing efficiency and structural stability, that drive immunogenicity independent of any single HLA match. We hypothesized that peptides with broader HLA binding profiles would show higher clinical immunogenicity, even when restricted to the patient's own HLA alleles. Methods: We curated 17 neoantigen vaccine trials (174 patients) and selected five with per-epitope CD8⁺ T cell immunogenicity data for primary analysis. Across 571 neoantigen sequences (3,806 derived peptides), we predicted binding and presentation using NetMHCpan-4.2, MHCflurry 2.0, and PRIME-2.0, and estimated peptide–MHC stability with NetMHCstabpan. A reference panel of 62 common HLA class I alleles (>95% global coverage) was used to quantify incidental coverage, defined as predicted binding (IC50 <500 nM) to non-patient HLA alleles. Mixed-effects models adjusted for patient-specific binding affinity, predicted stability, mutation type, neoantigen length, and trial structure, with Bonferroni correction for 5 pre-specified hypotheses. Results: Off-target HLA binding independently predicted clinical immunogenicity. Among peptides selected for vaccination, 35.2% bound at least one non-patient HLA allele, with the most promiscuous peptides binding up to 37 alleles. After adjusting for patient-specific binding affinity and stability, peptides from immunogenic neoantigens showed greater incidental coverage than non-immunogenic peptides (mean 2.46 vs 1.80 additional HLAs; p=0.0034). This association was consistent across tumour types and prediction methods. Among immunogenic peptides, the breadth of off-target binding correlated with response magnitude (Spearman ρ=0.46, p=0.034), with the strongest effect observed in glioblastoma. High-affinity off-target matches (IC50 <50 nM) and high-stability interactions showed the most robust associations with immunogenicity. Conclusions: Promiscuous HLA binding independently predicts neoantigen immunogenicity in clinical trials, beyond binding affinity and stability to the patient’s own HLA alleles. These results point to peptide-intrinsic properties linked to MHC stability and processing that are overlooked by current selection pipelines. Explicit modelling of HLA promiscuity and stability may improve neoantigen prioritisation, particularly in low–mutation burden tumours and patients with rare HLA genotypes.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.2653
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Off-target HLA matches for prediction of response in personalised cancer vaccines: A multi-trial retrospective analysis.

S Lee, Eleni Adamopoulou, Michael E. Bryan, Carol SK Leung et al.
Journal of Clinical Oncology
vaccines and immunoinformatics approaches
article

Off-target HLA matches for prediction of response in personalised cancer vaccines: A multi-trial retrospective analysis.

S Lee, Eleni Adamopoulou, Michael E. Bryan, Carol SK Leung, Dimitris V. Vavoulis, Om H. Gandhi, R. Mair, Will Ince, Lennard YW Lee, Tim Elliott, Anna Schuh, Robert A. Watson
article en

Abstract

2653 Background: Personalized neoantigen vaccines aim to match epitopes to a patient's HLA genotype, yet many peptides bind promiscuously across multiple HLA alleles. Promiscuous binding may reflect intrinsic peptide properties, including enhanced processing efficiency and structural stability, that drive immunogenicity independent of any single HLA match. We hypothesized that peptides with broader HLA binding profiles would show higher clinical immunogenicity, even when restricted to the patient's own HLA alleles. Methods: We curated 17 neoantigen vaccine trials (174 patients) and selected five with per-epitope CD8⁺ T cell immunogenicity data for primary analysis. Across 571 neoantigen sequences (3,806 derived peptides), we predicted binding and presentation using NetMHCpan-4.2, MHCflurry 2.0, and PRIME-2.0, and estimated peptide–MHC stability with NetMHCstabpan. A reference panel of 62 common HLA class I alleles (>95% global coverage) was used to quantify incidental coverage, defined as predicted binding (IC50 <500 nM) to non-patient HLA alleles. Mixed-effects models adjusted for patient-specific binding affinity, predicted stability, mutation type, neoantigen length, and trial structure, with Bonferroni correction for 5 pre-specified hypotheses. Results: Off-target HLA binding independently predicted clinical immunogenicity. Among peptides selected for vaccination, 35.2% bound at least one non-patient HLA allele, with the most promiscuous peptides binding up to 37 alleles. After adjusting for patient-specific binding affinity and stability, peptides from immunogenic neoantigens showed greater incidental coverage than non-immunogenic peptides (mean 2.46 vs 1.80 additional HLAs; p=0.0034). This association was consistent across tumour types and prediction methods. Among immunogenic peptides, the breadth of off-target binding correlated with response magnitude (Spearman ρ=0.46, p=0.034), with the strongest effect observed in glioblastoma. High-affinity off-target matches (IC50 <50 nM) and high-stability interactions showed the most robust associations with immunogenicity. Conclusions: Promiscuous HLA binding independently predicts neoantigen immunogenicity in clinical trials, beyond binding affinity and stability to the patient’s own HLA alleles. These results point to peptide-intrinsic properties linked to MHC stability and processing that are overlooked by current selection pipelines. Explicit modelling of HLA promiscuity and stability may improve neoantigen prioritisation, particularly in low–mutation burden tumours and patients with rare HLA genotypes.

Journal of Clinical OncologyVol. 44(16_suppl)
University College London Hospitals NHS Foundation Trust (GB), University of Cambridge (GB), Cambridge University Hospitals NHS Foundation Trust (GB), University of Oxford (GB), Oxford Centre for Diabetes, Endocrinology and Metabolism (GB), Addenbrooke's Hospital (GB), University College London (GB)
Good health and well-being
Openalex Percentile: Top 9%
vaccines and immunoinformatics approaches
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.