Multi-omics analysis of m6A modification-related patterns based on m6A regulators and tumor microenvironment infiltration in lung adenocarcinoma

Abstract

Epigenetic modifications, especially N6-methyladenosine (m6A) modification, play a key role in tumor microenvironment (TME) infiltration. However, the regulatory role of m6A modification in the TME of lung adenocarcinoma (LUAD) remains unclear. A total of 2506 patients with LUAD were included in the analysis and divided into different groups according to distinct m6A modification-related patterns based on 23 m6A regulators. A comprehensive analysis was performed to explore TME infiltration in different m6A modification-related patterns. Principal component analysis was performed to obtain the m6Ascore and to quantify m6A modification-related patterns in different individuals. Three distinct m6A modification-related patterns were identified by 23 m6A regulators. The pathway enrichment analysis showed that m6Acluster-A was associated with immune activation; m6Acluster-B was associated with carcinogenic activation; m6Acluster-C was prominently related to substance metabolism. M6Acluster-A was remarkably rich in TME-infiltrating immune cells and patients with this pattern showed a survival advantage. The m6Ascore could predict TME infiltration, tumor mutation burden (TMB), the effect of tumor immunotherapy, and the prognosis of patients in LUAD. High m6Ascore was characterized by increased TME infiltration, reduced TMB, and survival advantage. Patients with a high m6Ascore exhibited significantly improved clinical response to anti-cytotoxic T lymphocyte antigen-4 (anti-CTLA4) immunotherapy. This study explored the regulatory mechanisms of TME infiltration in LUAD. The comprehensive analysis of m6A modification-related patterns may contribute to the development of individualized immunotherapy and the improvement of the overall effectiveness of immunotherapy for LUAD patients.

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Development of a Novel Prognostic Model of Glioblastoma Based on m6A-Associated Immune Genes and Identification of a New Biomarker

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