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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Genet. | doi: 10.3389/fgene.2019.00786

Specific Glioma Prognostic-subtype Distinctions Based on DNA Methylation Patterns

 Xueran Chen1*,  Chenggang Zhao1, Zhiyang Zhao1, Hongzhi Wang1 and  Zhiyou Fang1
  • 1Hefei Institutes of Physical Science (CAS), China

DNA methylation is an important regulator of gene expression and may provide an important basis for effective glioma diagnosis and therapy. Here, we explored specific prognosis‐subtypes based on DNA methylation status using 653 gliomas from the TCGA database. Five subgroups were distinguished by consensus clustering using 11,637 CpGs that significantly influenced survival. The specific DNA methylation patterns were correlated with age, tumor stage, and prognosis. Additionally, WGCNA analysis of CpG sites revealed that 11 of them could distinguish the samples into high- and low-methylation groups and could classify the prognostic information of samples after cluster analysis of the training set samples using the hierarchical clustering algorithm. Similar results were obtained from the test set and 12 glioma patients. Moreover, in vitro experiments revealed an inverse relationship between methylation level and migration ability or insensitivity to temozolomide (or radiotherapy) of glioma cells based on the final prognostic predictor. Thus, these results suggested that the model constructed in this study could provide guidance for clinicians regarding the prognosis of various epigenetic subtypes.

Keywords: Glioma, consensus clustering, DNA Methylation, Molecular subtypes, prognosis

Received: 20 Feb 2019; Accepted: 24 Jul 2019.

Copyright: © 2019 Chen, Zhao, Zhao, Wang and Fang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Xueran Chen, Hefei Institutes of Physical Science (CAS), Hefei, China, xueranchen@cmpt.ac.cn