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. 2021 Mar 1;13(5):1013. doi: 10.3390/cancers13051013

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© 2021 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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Survival analysis based on the impact of the multi-gene prognostic index (PI). (A) Heatmap analysis of expression levels of SOCS3, VEGFA, and TEK was conducted on the UCSC Xena platform based on The Cancer Genome Atlas (TCGA)-GBM dataset (n = 197). (B) Survival analysis based on hazard ratio (HR) was conducted via the GBM-BioDP (https://gbm-biodp.nci.nih.gov/). GBM was classified into proneural (P), neural (N), classical (C), and mesenchymal (M) subtypes based on gene expression patterns [20]. The stratification of the three-gene signatures for full cohort, P, M, and C subclasses is based on increasing PI levels of 1Half vs. 2Half; N subclass is based on 1Qt vs. 4Qt for stratification. *: p < 0.05; **: p < 0.01; ***: p < 0.001.