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. 2022 May 24;12:8784. doi: 10.1038/s41598-022-12699-z

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Risk stratification based on overall survival for the patients in our cohort (n = 112) using the six Cox-PH models including different layers of information. For illustration purposes, we have displayed low, medium, and high levels of survival probability. The survival curves are illustrated with their 95% confidence intervals. Log-rank test was performed to test for differences between the survival functions of the low, medium, and high risk groups predicted by the Cox model. The p-values obtained using this test for Model 1 (Clinical): p = 0.00016; Model 2 (Clinical + MGMT): p = 1e−5; Model 3 (Clinical + Radiomics): p < 1e−5; Model 4 (Clinical + MGMT + Radiomics): p < 1e−5; Model 5 (Clinical + MGMT + Genomics): p < 1e−5; Model 6 (Clinical + MGMT + Genomics + Radiomics): p < 1e−5.