N6-methyladenosine RNA methylation, a new hallmark of metabolic reprogramming in the immune microenvironment

Front Immunol. 2024 Dec 20:15:1464042. doi: 10.3389/fimmu.2024.1464042. eCollection 2024.

Abstract

N6-methyladenosine is one of the most common and reversible post-transcriptional modifications in eukaryotes, and it is involved in alternative splicing and RNA transcription, degradation, and translation. It is well known that cancer cells acquire energy through metabolic reprogramming to exhibit various biological behaviors. Moreover, numerous studies have demonstrated that m6A induces cancer metabolic reprogramming by regulating the expression of core metabolic genes or by activating metabolic signaling pathways. Meanwhile, m6A modifications and related regulators are key targets in the regulation of immune effects. We further summarize how m6A modifications contribute to tumor metabolism, and how these events affect the tumor immune microenvironment, with a specific focus on different cell types. Finally, we focus on the specific applications of this field to tumor immunotherapy. We review the potential role of m6A in metabolic reprogramming of tumor immune microenvironment and its regulatory mechanism, with the aim of providing new targets for tumor metabolic regulation and immunotherapy.

Keywords: N6-methyladenosine; immunotherapy; m6A modification; metabolic reprogramming; tumor microenvironment.

Publication types

  • Review

MeSH terms

  • Adenosine* / analogs & derivatives
  • Adenosine* / metabolism
  • Animals
  • Cellular Reprogramming / genetics
  • Humans
  • Immunotherapy / methods
  • Metabolic Reprogramming
  • Methylation
  • Neoplasms* / genetics
  • Neoplasms* / immunology
  • Neoplasms* / metabolism
  • Neoplasms* / therapy
  • RNA Methylation
  • RNA Processing, Post-Transcriptional
  • Tumor Microenvironment* / immunology

Substances

  • N-methyladenosine
  • Adenosine

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China (81903000), Natural Science Foundation of Sichuan Province (2023NSFSC1846), Sichuan Science and Technology Program (2022YFS0636-B4, 2022YFS0636-C4), Luzhou Science and Technology Program (2022-JYJ-120), Hejiang County People’s Hospital -Southwest Medical University Science and Technology Cooperation Project (2022HJXNYD11, 2022HJXNYD16), Luzhou Science and Technology Project (2021-jyj-81).