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. 2018 Jul 11;42(4):1837–1846. doi: 10.3892/ijmm.2018.3765

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Copyright: © Liang et al.

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Prognosis performance of the pathway-based model. Samples in (A) TCGA set, (B) CGGA set, (C) GSE13041, and (D and E) GSE74187 were dichotomized by PI into a high-risk group and a low-risk group. The two groups were compared by Kaplan-Meier curves, and the P-value was calculated by log-rank test. (F) Comparison of ROC curves between different sets. ROC curves were generated with PI values as predictions compared to overall survival or progression-free survival. TCGA, The Cancer Genome Atlas; CGGA, Chinese Glioma Genome Atlas; PI, prognosis index; ROC, receiver operating characteristic.