PD-L1 Expression, Tumor Mutational Burden, and Cancer Gene Mutations Are Stronger Predictors of Benefit from Immune Checkpoint Blockade than HLA Class I Genotype in Non-Small Cell Lung Cancer

Introduction: Immune checkpoint blockade (ICB) has revolutionized the treatment of NSCLC, but only approximately 15% of patients achieve durable benefit. Understanding mechanisms of resistance to ICB is pivotal in developing more effective treatment strategies. Recent studies showed that human leukocyte antigen (HLA) class I heterozygosity might be important in mediating benefit from ICB. We aimed to investigate the impact of HLA class I genotype on outcomes of patients with NSCLC treated with ICB. Methods: We collected HLA typing, genomic, and clinical data from patients with advanced NSCLC treated with ICB at M. D. Anderson Cancer Center. We compared HLA class I-heterozygous and HLA class I-homozygous patients for progression-free survival (PFS) and overall survival (OS). HLA I supertype/alleles were also analyzed. To validate our findings, we also analyzed two previously published independent cohorts of patients with NSCLC (the CheckMate-012 and Chowell cohorts). Results: No significant correlations were observed for HLA class I zygosity and PFS or OS in the M. D. Anderson Cancer Center (n = 200), CheckMate-012 (n = 75), or Chowell (n = 371) cohorts. No HLA class I supertype/allele was consistently shown to be correlated with PFS or OS. Predictors of worse outcome across the three cohorts included presence of targetable driver mutation, serine/threonine kinase 11 gene (STK11) mutation, negative programmed death ligand 1 expression, and low tumor mutational burden. Conclusions: HLA class I genotype is not correlated with survival in advanced NSCLC treated with ICB. This suggests that the impact of HLA class I diversity may be disease specific and that tumor genomic and immune markers are more impactful in predicting benefit from ICB in NSCLC. (C) 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.