10.3389/fcell.2020.00642.s001
Zewei Tu
Zewei
Tu
Lei Wu
Lei
Wu
Peng Wang
Peng
Wang
Qing Hu
Qing
Hu
Chuming Tao
Chuming
Tao
Kuangxun Li
Kuangxun
Li
Kai Huang
Kai
Huang
Xingen Zhu
Xingen
Zhu
Image_1_N6-Methylandenosine-Related lncRNAs Are Potential Biomarkers for Predicting the Overall Survival of Lower-Grade Glioma Patients.TIF
Frontiers
2020
lower-grade glioma
N6-methylandenosine
long non-coding RNA
prognostic signature
ceRNA network
2020-07-23 07:37:44
Figure
https://frontiersin.figshare.com/articles/figure/Image_1_N6-Methylandenosine-Related_lncRNAs_Are_Potential_Biomarkers_for_Predicting_the_Overall_Survival_of_Lower-Grade_Glioma_Patients_TIF/12696338
<p>The prognostic value of N6-methylandenosine-related long non-coding RNAs (m6A-related lncRNAs) was investigated in 646 lower-grade glioma (LGG) samples from The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) datasets. We implemented Pearson correlation analysis to explore the m6A-related lncRNAs, and then univariate Cox regression analysis was performed to screen their prognostic roles in LGG patients. Twenty-four prognostic m6A-related lncRNAs were identified as prognostic lncRNAs and they were inputted in a least absolute shrinkage and selection operator (LASSO) Cox regression to establish a m6A-related lncRNA prognostic signature (m6A-LPS, including 9 m6A-related prognostic lncRNAs) in the TCGA dataset. Corresponding risk scores of patients were calculated and divided LGG patients into low- and high-risk subgroups by the median value of risk scores in each dataset. The m6A-LPS was validated in the CGGA dataset and it showed a robust prognostic ability in the stratification analysis. Principal component analysis showed that the low- and high-risk subgroups had distinct m6A status. Enrichment analysis indicated that malignancy-associated biological processes, pathways and hallmarks were more common in the high-risk subgroup. Moreover, we constructed a nomogram (based on m6A-LPS, age and World Health Organization grade) that had a strong ability to forecast the overall survival (OS) of the LGG patients in both datasets. We also establish a competing endogenous RNA (ceRNA) network based on seven of the twenty-four m6A-related lncRNAs. Besides, we also detected five m6A-related lncRNA expression levels in 22 clinical samples using quantitative real-time polymerase chain reaction assay.</p>