Recent studies have demonstrated that N6-methyladenosine (m6A), the most abundant, dynamic, and reversible epigenetic RNA modification in eukaryotes, is regulated by a series of enzymes, including methyltransferases (writers), demethylases (erasers), and m6A recognition proteins (readers). Aberrant regulation of m6A modification is pivotal for tumorigenesis, progression, invasion, metastasis, and apoptosis of malignant tumors. Immune checkpoint inhibitors (ICIs) has revolutionized cancer treatment, as recognized by the 2018 Nobel Prize in Medicine and Physiology. However, not all cancer patients response to ICI therapy, which is thought to be the result of intricate immune escape mechanisms. Recently, numerous studies have suggested a novel role for m6A epigenetic modification in the regulation of tumor immune evasion. Herein, we review the relevant mechanisms of m6A regulators in regulating various key signaling pathways in cancer biology and how m6A epigenetic modifications regulate the expression of immune checkpoints, opening a new window to understand the roles and mechanisms of m6A epigenetic modifications in regulating tumor immune evasion. In addition, we highlight the prospects and development directions of future combined immunotherapy strategies based on m6A modification targeting, providing directions for promoting the treatment outcomes of immune checkpoint inhibitors.
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http://dx.doi.org/10.3389/fimmu.2023.1132601 | DOI Listing |
Brief Bioinform
November 2024
In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, 250 Wuxing Street, 110, Taipei, Taiwan.
Accurate prediction of RNA modifications holds profound implications for elucidating RNA function and mechanism, with potential applications in drug development. Here, the RNA-ModX presents a highly precise predictive model designed to forecast post-transcriptional RNA modifications, complemented by a user-friendly web application tailored for seamless utilization by future researchers. To achieve exceptional accuracy, the RNA-ModX systematically explored a range of machine learning models, including Long Short-Term Memory (LSTM), Gated Recurrent Unit, and Transformer-based architectures.
View Article and Find Full Text PDFBMC Biol
December 2024
Department of Orthodontics, School and Hospital of Stomatology, Liaoning Provincial Key Laboratory of Oral Diseases, China Medical University, Shenyang, 110001, China.
Background: Age-related kidney impairment, characterized by tubular epithelial cell senescence and renal fibrosis, poses a significant global public health threat. Although N6-methyladenosine (m6A) methylation is implicated in various pathological processes, its regulatory mechanism in kidney aging remains unclear.
Methods: An m6A-mRNA epitranscriptomic microarray was performed to identify genes with abnormal m6A modifications in aged human kidney tissues.
Front Biosci (Landmark Ed)
December 2024
Department of Gynecology, Jincheng Hospital Affiliated to Changzhi Medical College, Jincheng People's Hospital, 048026 Jincheng, Shanxi, China.
Background: Endometriosis is a complicated and enigmatic disease that significantly diminishes the quality of life for women affected by this condition. Increased levels of human telomerase reverse transcriptase () mRNA and telomerase activity have been found in the endometrium of these patients. However, the precise function of TERT in endometriosis and the associated biological mechanisms remain poorly understood.
View Article and Find Full Text PDFFront Biosci (Landmark Ed)
November 2024
Department of Orthopaedics, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, 646000 Luzhou, Sichuan, China.
Background: The mechanism for RNA methylation during disc degeneration is unclear. The aim of this study was to identify N6-methyladenosine (m6A) markers and therapeutic targets for the prevention and treatment of intervertebral disc degeneration (IDD).
Methods: Methylated RNA immunoprecipitation sequencing (MeRIP-seq) and quantitative reverse transcription PCR (RT-qPCR) were employed to analyze m6A modifications of IDD-related gene expression.
J Inflamm Res
December 2024
Department of Internal and Emergency Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Purpose: Septic cardiomyopathy (SCM) is a significant global public health concern characterized by substantial morbidity and mortality, which has not been improved for decades due to lack of early diagnosis and effective therapies. This study aimed to identify hub biomarkers in SCM and explore their potential mechanisms.
Methods: We utilized the GSE53007 and GSE207363 datasets for transcriptome analysis of normal and SCM mice.
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