Abstract 5244: Genomic HLA class I allelic imbalance undermines enduring immunotherapy response in advanced non small cell lung cancer

Abstract Human leukocyte antigen class I (HLA-I) molecules are essential for neoantigen presentation and T cell recognition, yet the clinical significance of allelic imbalance within HLA-I genes (HLA-AI) in immune checkpoint inhibitor (ICI) therapy remains undefined. Here, we established haplotype-specific, coverage-based (cHLA-AI) and plasma-derived (bHLA-AI) models compatible with routine clinical sequencing, based on 292 fully heterozygous patients with paired tumor and blood samples from the phase III CHOICE-01 trial. Tumor mutational burden (TMB)-low tumors with HLA-AI derived no benefit from first-line immunochemotherapy, whereas all other patients achieved significant survival gains (mOS 16.53 vs. 29.57 months, HR = 2.29, 95% CI 1.59-3.30, p < 0.001,interaction P = 0.019; mPFS 5.59 vs. 9.92 months, HR = 2.02, 95% CI 1.43-2.90, p < 0.001, interaction P = 0.016). These findings were validated in the RATIONALE-304 and RATIONALE-307 trials and independent real-world cohorts, and extended to cfDNA (bHLA-AI), where integrated tissue-plasma assessment delineated four therapeutic trajectories. Incorporating cHLA-AI with pathology, PD-L1 and TMB significantly improved 2-year OS prediction (DeLong’s P = 0.003). Multi-omic profiling linked cHLA-AI to active DNA damage response signaling, high TMB, elevated intratumor heterogeneity (ITH-high), pronounced chromosomal instability (CIN-high), immune-cold microenvironments, and failure of on-treatment TCR expansion, while longitudinal sampling revealed its late, branching emergence under immune pressure. Pan-cancer profiling (N = 5,989) demonstrated consistent associations with TMB and proliferative activity (Ki-67 index). Collectively, these results establish cHLA-AI as a pivotal biomarker bridging genomic instability, immune evasion, and therapeutic outcome, providing a framework for stratified immunotherapy in non-small cell lung cancer and beyond. Citation Format: Yiting Dong. Genomic HLA class I allelic imbalance undermines enduring immunotherapy response in advanced 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 5244.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-5244
Primary Topic
Cancer Immunotherapy and Biomarkers
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article
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article

Abstract 5244: Genomic HLA class I allelic imbalance undermines enduring immunotherapy response in advanced non small cell lung cancer

Yiting Dong, Wenbin Li, Jie Wang, Zhijie Wang et al.
Cancer Research
Cancer Immunotherapy and Biomarkers
article

Abstract 5244: Genomic HLA class I allelic imbalance undermines enduring immunotherapy response in advanced non small cell lung cancer

Yiting Dong, Wenbin Li, Jie Wang, Zhijie Wang, Shun Wang
article en

Abstract

Abstract Human leukocyte antigen class I (HLA-I) molecules are essential for neoantigen presentation and T cell recognition, yet the clinical significance of allelic imbalance within HLA-I genes (HLA-AI) in immune checkpoint inhibitor (ICI) therapy remains undefined. Here, we established haplotype-specific, coverage-based (cHLA-AI) and plasma-derived (bHLA-AI) models compatible with routine clinical sequencing, based on 292 fully heterozygous patients with paired tumor and blood samples from the phase III CHOICE-01 trial. Tumor mutational burden (TMB)-low tumors with HLA-AI derived no benefit from first-line immunochemotherapy, whereas all other patients achieved significant survival gains (mOS 16.53 vs. 29.57 months, HR = 2.29, 95% CI 1.59-3.30, p < 0.001,interaction P = 0.019; mPFS 5.59 vs. 9.92 months, HR = 2.02, 95% CI 1.43-2.90, p < 0.001, interaction P = 0.016). These findings were validated in the RATIONALE-304 and RATIONALE-307 trials and independent real-world cohorts, and extended to cfDNA (bHLA-AI), where integrated tissue-plasma assessment delineated four therapeutic trajectories. Incorporating cHLA-AI with pathology, PD-L1 and TMB significantly improved 2-year OS prediction (DeLong’s P = 0.003). Multi-omic profiling linked cHLA-AI to active DNA damage response signaling, high TMB, elevated intratumor heterogeneity (ITH-high), pronounced chromosomal instability (CIN-high), immune-cold microenvironments, and failure of on-treatment TCR expansion, while longitudinal sampling revealed its late, branching emergence under immune pressure. Pan-cancer profiling (N = 5,989) demonstrated consistent associations with TMB and proliferative activity (Ki-67 index). Collectively, these results establish cHLA-AI as a pivotal biomarker bridging genomic instability, immune evasion, and therapeutic outcome, providing a framework for stratified immunotherapy in non-small cell lung cancer and beyond. Citation Format: Yiting Dong. Genomic HLA class I allelic imbalance undermines enduring immunotherapy response in advanced 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 5244.

Cancer ResearchVol. 86(7_Supplement)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Good health and well-being
Openalex Percentile: Top 8%
Cancer Immunotherapy and Biomarkers
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