ArticleFrontiers in cell and developmental biology2022
A novel prognostic 7-methylguanosine signature reflects immune microenvironment and alternative splicing in glioma based on multi-omics analysis.
Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- RNA modifications in cancer.MedComm · 2025Review
- The role of RNA methylation in glioma progression: mechanisms, diagnostic implications, and therapeutic value.Frontiers in immunology · 2025Review
- tRNA Modifications and Dysregulation: Implications for Brain Diseases.Brain sciences · 2024Review
- IGFBP7+ subpopulation and IGFBP7 risk score in astrocytoma: insights from scRNA-Seq and bulk RNA-Seq.Frontiers in immunology · 2024Article
- Epigenetic regulation in the tumor microenvironment: molecular mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- Internal m7G methylation: A novel epitranscriptomic contributor in brain development and diseases.Molecular therapy. Nucleic acids · 2023Review
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Authors and funding
6 authors.
Funding
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Abstract
Glioma is the most common type of central nervous system tumor with increasing incidence. 7-methylguanosine (m7G) is one of the diverse RNA modifications that is known to regulate RNA metabolism and its dysregulation was associated with various cancers. However, the expression pattern of m7G regulators and their roles in regulating tumor immune microenvironments (TIMEs) as well as alternative splicing events (ASEs) in glioma has not been reported. In this study, we showed that m7G regulators displayed a close correlation with each other and most of them were differentially expressed between normal and glioma tissues. Two m7G signatures were then constructed to predict the overall survival of both GBM and LGG patients with moderate predictive performance. The risk score calculated from the regression coefficient and expression level of signature genes was proved to be an independent prognostic factor for patients with LGG, thus, a nomogram was established on the risk score and other independent clinical parameters to predict the survival probability of LGG patients. We also investigated the correlation of m7G signatures with TIMEs in terms of immune scores, expression levels of HLA and immune checkpoint genes, immune cell composition, and immune-related functions. While exploring the correlation between signature genes and the ASEs in glioma, we found that EIF4E1B was a key regulator and might play dual roles depending on glioma grade. By incorporating spatial transcriptomic data, we found a cluster of cells featured by high expression of PTN exhibited the highest m7G score and may communicate with adjacent cancer cells
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