Suppr超能文献

泛癌种 HLA 基因介导的肿瘤免疫原性和免疫逃逸

Pan-Cancer HLA Gene-Mediated Tumor Immunogenicity and Immune Evasion.

机构信息

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.

Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland.

出版信息

Mol Cancer Res. 2022 Aug 5;20(8):1272-1283. doi: 10.1158/1541-7786.MCR-21-0886.

Abstract

UNLABELLED

Human leukocyte antigen (HLA) expression contributes to the activation of antitumor immunity through interactions with T-cell receptors. Pan-cancer HLA-mediated immunogenicity and immunoediting mechanisms have not been systematically studied previously. In a retrospective analysis of 33 tumor types from the Cancer Genome Atlas (TCGA), we characterized the differential expression of HLA class I and class II genes across various oncogenic pathways and immune subtypes. While HLA I genes were upregulated in all immunogenically hot tumors, HLA II genes were upregulated in an inflammatory immune subtype associated with best prognosis and were systematically downregulated in specific oncogenic pathways. A subset of immunogenically hot tumors which upregulated HLA class I but not class II genes exploited HLA-mediated escape strategies. Furthermore, with a machine learning model, we demonstrated that HLA gene expression data can be used to predict the immune subtypes of patients receiving immune checkpoint blockade and stratify patient survival. Interestingly, tumors with the highest immune infiltration did not have the best prognosis but showed significantly higher immune exhaustion.

IMPLICATIONS

Taken together, we highlight the prognostic potential of HLA genes in immunotherapies and suggest that higher tumor immunogenicity mediated by HLA expression may sometimes lead to tumor escape under strong selective pressure.

摘要

未加标签

人类白细胞抗原 (HLA) 的表达通过与 T 细胞受体的相互作用有助于激活抗肿瘤免疫。以前尚未系统研究过泛癌 HLA 介导的免疫原性和免疫编辑机制。在对癌症基因组图谱 (TCGA) 中 33 种肿瘤类型的回顾性分析中,我们描述了 HLA 类 I 和类 II 基因在各种致癌途径和免疫亚型中的差异表达。虽然 HLA I 基因在所有免疫原性热肿瘤中上调,但 HLA II 基因在与最佳预后相关的炎症免疫亚型中上调,并在特定致癌途径中系统地下调。一组免疫原性热肿瘤上调 HLA 类 I 但不上调 HLA 类 II 基因,利用了 HLA 介导的逃逸策略。此外,我们通过机器学习模型证明,HLA 基因表达数据可用于预测接受免疫检查点阻断治疗的患者的免疫亚型,并对患者的生存进行分层。有趣的是,免疫浸润程度最高的肿瘤并非预后最佳,但表现出明显更高的免疫耗竭。

意义

综上所述,我们强调了 HLA 基因在免疫治疗中的预后潜力,并表明 HLA 表达介导的更高肿瘤免疫原性在强选择压力下有时可能导致肿瘤逃逸。

相似文献

8
The role of classical and non-classical HLA class I antigens in human tumors.经典和非经典 HLA I 类抗原在人类肿瘤中的作用。
Semin Cancer Biol. 2012 Aug;22(4):350-8. doi: 10.1016/j.semcancer.2012.03.003. Epub 2012 Mar 24.

引用本文的文献

本文引用的文献

5
Computational Prediction and Validation of Tumor-Associated Neoantigens.计算预测和验证肿瘤相关新抗原。
Front Immunol. 2020 Jan 24;11:27. doi: 10.3389/fimmu.2020.00027. eCollection 2020.
6
Advances in the Evolutionary Understanding of MHC Polymorphism.MHC 多态性进化理解的进展。
Trends Genet. 2020 Apr;36(4):298-311. doi: 10.1016/j.tig.2020.01.008. Epub 2020 Feb 7.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验