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. 2019 Aug 27;9:812. doi: 10.3389/fonc.2019.00812

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Copyright © 2019 Tang, Xu, Wang, Luo, Fu, Huang, Dai, Lu, Cao, Peng, Zhang, Zhang and Chen.

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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The prognostic efficiency of the Cox proportional hazards regression model. Heat map of the model genes in (A) training set of the TCGA, (B) test set of GSE16001, (C) test set of Rembrandt; ROC curves of the four genes signature for predicting 12- and 36-months survival of glioblastoma. The 12- and 36-months areas (AUC) under the ROC curves indicate higher predictive value; Kaplan–Meier curves analyze the survival of the high-risk group and the low-risk group, the high-risk group had the worse outcome (P < 0.001).