Abstract |
Glioma is the most common intracranial malignant tumour. A clear diagnosis and molecular targeted therapy are of great significance for improving the survival time and quality of life of patients with low-grade glioma. 5-methylcytosine methylation is one of the ways of RNA modification, but there are limited studies on the role of m5 C methylation of low-grade glioma. Single- nucleotide variant, RNA expression matrix and corresponding clinical data of low-grade glioma came from public database. The single- nucleotide variant and expression of m5 C regulators were estimated. A prognostic model based on m5 C regulators was constructed by Cox regression. Potential functions of these molecules were assessed by gene set enrichment analysis. DNMT3A mutation was the most frequent among the m5 C regulators in low-grade glioma. NSUN3, TET2, TRDMT1, ALYREF, DNMT3B, DNMT1, NOP2 and NSUN2 were up-regulated. One prognostic model was constructed which had a strong predictive power for the overall survival of low-grade glioma. We studied the expression and prognostic characteristics of m5 C regulators in low-grade glioma, supplied biomarkers for the diagnosis and prognosis and provided the foundation for the study of the pathogenesis of low-grade glioma.
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Authors | Xiaozhi Li, Yutong Meng |
Journal | Journal of cellular and molecular medicine
(J Cell Mol Med)
Vol. 25
Issue 3
Pg. 1383-1393
(02 2021)
ISSN: 1582-4934 [Electronic] England |
PMID | 33400376
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Copyright | © 2021 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd. |
Chemical References |
- Biomarkers, Tumor
- RNA
- 5-Methylcytosine
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Topics |
- 5-Methylcytosine
(metabolism)
- Biomarkers, Tumor
- Computational Biology
(methods)
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic
- Glioma
(genetics, metabolism, mortality, pathology)
- Humans
- Methylation
- Neoplasm Grading
- Prognosis
- RNA
(genetics, metabolism)
- ROC Curve
- Transcriptome
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