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Effect of HLA Genotype on Anti-PD-1 Antibody Treatment for Advanced Renal Cell Carcinoma in the SNiP-RCC Study

无容量 危险系数 医学 人类白细胞抗原 置信区间 肿瘤科 内科学 肾细胞癌 基因型 免疫学 免疫疗法 生物 癌症 遗传学 基因 抗原
作者
Tokiyoshi Tanegashima,Masaki Shiota,Nobuhiro Fujiyama,Shintaro Narita,Tomonori Habuchi,Genshiro Fukuchi,Dai Takamatsu,Yoshinao Oda,Hideaki Miyake,Masayuki Takahashi,Mototsugu Oya,Norihiko Tsuchiya,Naoya Masumori,Hideyasu Matsuyama,Wataru Obara,Nobuo Shinohara,Kiyohide Fujimoto,M Nozawa,Kojiro Ohba,Chikara Οhyama
出处
期刊:Journal of Immunology [American Association of Immunologists]
卷期号:213 (1): 23-28 被引量:2
标识
DOI:10.4049/jimmunol.2300308
摘要

Abstract Immune checkpoint blockade therapies are widely used for cancer treatment, including advanced renal cell carcinoma (RCC). This study aimed to investigate the impact of zygosity in HLA genes and individual HLA genotypes on the efficacy of an anti-PD-1 Ab, nivolumab, in treating advanced RCC. Patient enrollment was conducted across 23 institutions in Japan from August 19, 2019, to September 30, 2020, with follow-up concluding on March 31, 2021. HLA genotype imputation of HLA-A, B, and C, DQB1, and DRB1 loci was performed. Among 222 patients, the presence of at least one homozygosity of the HLA-II allele significantly improved the best objective response (hazard ratio, 0.34; 95% confidence interval, 0.21–0.96; p = 0.042). The HLA evolutionary divergence (HED) of the HLA-A and HLA-B loci was higher than the HLA-C (p < 0.0001 and p < 0.0001, respectively), with high HED of the HLA-B locus correlating to clinical benefits in nivolumab treatment (hazard ratio, 0.44; 95% confidence interval, 0.21–0.90; p = 0.024) and improving cancer-specific survival compared with the low group (p = 0.0202). Additionally, high HED of the HLA-B locus was correlated with the number of infiltrated CD8+ cells in the tumor microenvironment (correlation coefficient, 0.4042). These findings indicate that the diversity of the HLA-B locus plays a significant role in the anti-tumor effect of nivolumab treatment in advanced RCC, potentially offering insights for improved risk stratification in nivolumab treatment and leading to better medical management of advanced RCC.
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