4.6 Article

Genome-Wide Identification and Analysis of the Methylation of lncRNAs and Prognostic Implications in the Glioma

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FRONTIERS IN ONCOLOGY
卷 10, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2020.607047

关键词

glioma; methylation modification; long non-coding RNAs; clinical prognosis; the cancer genome atlas (TCGA)

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资金

  1. Start-up fund of Chongqing Medical University [R1017]

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This study analyzed the methylation and lncRNAs of 537 glioma patients from TCGA and TANRIC databases, identifying 18 key lncRNAs associated with the pathogenesis of glioma, which were shown to be high-risk factors for clinical prognosis. The findings provided insight into the influence of lncRNA methylation on glioma and improved understanding of its pathogenesis.
Glioma is characterized by rapid cell proliferation and extensive infiltration among brain tissues, but the molecular pathology has been still poorly understood. Previous studies found that DNA methylation modifications play a key role in contributing to the pathogenesis of glioma. On the other hand, long noncoding RNAs (lncRNAs) has been discovered to be associated with some key tumorigenic processes of glioma. Moreover, genomic methylation can influence expression and functions of lncRNAs, which contributes to the pathogenesis of many complex diseases. However, to date, no systematic study has been performed to detect the methylation of lncRNAs and its influences in glioma on a genome-wide scale. Here, we selected the methylation data, clinical information, expression of lncRNAs, and DNA methylation regulatory proteins of 537 glioma patients from TCGA and TANRIC databases. Then, we performed a differential analysis of lncRNA expression and methylated regions between low-grade glioma (LGG) and glioblastoma multiform (GBM) subjects, respectively. Next, we further identified and verified potential key lncRNAs contributing the pathogenesis of glioma involved in methylation modifications by an annotation and correlation analysis, respectively. In total, 18 such lncRNAs were identified, and 7 of them have been demonstrated to be functionally linked to the pathogenesis of glioma by previous studies. Finally, by the univariate Cox regression, LASSO regression, clinical correlation, and survival analysis, we found that all these 18 lncRNAs are high-risk factors for clinical prognosis of glioma. In summary, this study provided a strategy to explore the influence of lncRNA methylation on glioma, and our findings will be benefit to improve understanding of its pathogenesis.

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