Zhang Xiaotao, Tang Hongzhen, Luo Haitao, Lu Huiping, Pan Chaohu, Yu Haiming, Zhang Linlin, Guan Yaping, Yu Lan, Chu Huili, Chen Jun, Wang Jun
Affiliated Qingdao Central Hospital of Qingdao University, Qingdao, China.
YuceBio Technology Co., Ltd., Shenzhen, China.
Front Genet. 2022 Dec 1;13:1066636. doi: 10.3389/fgene.2022.1066636. eCollection 2022.
Although multiple studies have shown that loss of heterozygosity (LOH) at the human leukocyte antigen (HLA) locus is one of the mechanisms of immune escape, the effect of HLA LOH on the immunotherapy response of patients is still unclear. Based on the data of 425 Chinese lung cancer patients, the genomic characteristics with different HLA LOH statuses were analyzed. The driver genes mutation frequency, oncogenic signaling pathways mutation frequency, tumor mutational burden (TMB) and chromosomal instability (CIN) score in the HLA LOH high group was significantly higher than in the HLA LOH negative group. Transcriptome analyses revealed that pre-existing immunologically active tumor microenvironment (TME) was associated with HLA LOH negative patients. Non-small cell lung cancer (NSCLC) patients, especially for lung squamous cell carcinomas (LUSC), with HLA LOH negative have a longer survival period than those with HLA LOH. In addition, the combination of HLA LOH with TMB or programmed cell death-Ligand 1 (PD-L1) expression can further distinguish responders from non-responders. Furthermore, a comprehensive predictive model including HLA LOH status, TMB, PD-L1 expression and CD8 T cells was constructed and exhibited a higher predictive value, which may improve clinical decision-making.
尽管多项研究表明,人类白细胞抗原(HLA)位点杂合性缺失(LOH)是免疫逃逸的机制之一,但HLA LOH对患者免疫治疗反应的影响仍不清楚。基于425例中国肺癌患者的数据,分析了不同HLA LOH状态的基因组特征。HLA LOH高分组的驱动基因突变频率、致癌信号通路突变频率、肿瘤突变负荷(TMB)和染色体不稳定性(CIN)评分显著高于HLA LOH阴性组。转录组分析显示,预先存在的具有免疫活性的肿瘤微环境(TME)与HLA LOH阴性患者相关。非小细胞肺癌(NSCLC)患者,尤其是肺鳞状细胞癌(LUSC)患者,HLA LOH阴性者的生存期比HLA LOH阳性者更长。此外,HLA LOH与TMB或程序性细胞死亡配体1(PD-L1)表达的联合可进一步区分反应者和无反应者。此外,构建了一个包括HLA LOH状态、TMB、PD-L1表达和CD8 T细胞的综合预测模型,该模型具有较高的预测价值,可能会改善临床决策。