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Expression and prognostic characteristics of m5 C regulators in low-grade glioma.

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.
AuthorsXiaozhi Li, Yutong Meng
JournalJournal of cellular and molecular medicine (J Cell Mol Med) Vol. 25 Issue 3 Pg. 1383-1393 (02 2021) ISSN: 1582-4934 [Electronic] England
PMID33400376 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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
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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