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. 2020 Sep 18;11:566579. doi: 10.3389/fgene.2020.566579

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Copyright © 2020 Jiang, Zhu, Yang, Chen and Lv.

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.

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Screening and identification of DEMFGs. (A) Kaplan-Meier survival curves of the six-gene risk signature for TCGA-GBM dataset. (B) Heatmap of the six-DEMFGs in the high-risk and low-risk subgroups for the training set. The six-DEMFGs-based risk score distribution, patient survival status. (C) ROC risk six-gene risk signature distinguished the clinicopathological features of GBM. (D) Prognostic nomograms predicting the probability of 1-, 3-, and 5-years. (E) GSEA of KEGG pathways (MsigDB) significantly regulated in DEMFGs, q-value < 0.05 was chosen as cutoff for exploratory data analysis.