Comprehensive Analysis of the PD-L1 and Immune Infiltrates of m6A RNA Methylation Regulators in Head and Neck Squamous Cell Carcinoma
Comprehensive Analysis of the PD-L1 and Immune Infiltrates of m6A RNA Methylation Regulators in Head and Neck Squamous Cell Carcinoma
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DOI:
10.1016/j.omtn.2020.06.001
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发表时间:
2020-09-04
影响因子:
8.8
通讯作者:
Huang, Ping
中科院分区:
文献类型:
--
作者:
Yi, Lilan;Wu, Guowu;Huang, Ping
Because most studies have focused on the intrinsic carcinogenic pathways of tumors, the underlying role of N6-methyladenosine (m(6)A) methylation in tumor immune microenvironment (TIME) remains elusive. Herein, we systematically explored the correlations of prominent m(6)A regulators with PD-L1 and immune infiltrates in 769 head and neck squamous cell carcinomas (HNSCCs; The Cancer Genome Atlas [TCGA] cohort, n = 499; GSE65858 cohort, n = 270). The PD-L1 expression evidently associated with m(6)A regulators. Two molecular subtypes (cluster1/2) were identified by consensus clustering for 15 m(6)A regulators. The cluster2 preferentially associated with favorable prognosis, upregulated PD-L1 expression, higher immunoscore, and distinct immune cell infiltration. The hallmarks of G2M checkpoint, mTORC1 signaling, and PI3K/ AKT/mTOR signaling were remarkably enriched in the cluster1. A prognostic risk score was constructed using seven m(6)A regulator-associated signatures that represented an independent prognosis factor for HNSCC. Patients with low-risk score exhibited higher immunoscore and upregulated PD-L1 expression than patients with high-risk score. Consistently, m(6)A regulators showed the same influence on immune modulation and survival in external GSE65858 cohort. Further analysis revealed that m(6)A regulator-based signatures were implicated in TIME and their copy-number alterations dynamically affected the abundance of tumor-infiltrating immune cells. Collectively, our study elucidated the important role of m(6)A methylation in TIME of HNSCC. The proposed m(6)A regulator-based signatures might serve as crucial mediators of TIME in HNSCC, representing promising therapeutic targets in improving immunotherapeutic efficacy.