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. 2019 Oct 8;9:14435. doi: 10.1038/s41598-019-50849-y

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© The Author(s) 2019

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Kaplan-Meier curve of the cohort stratified by radiomic risk score (A) and pMGMT methylation status (C). Both stratifications identified the poor-risk subgroup within the cohort. P values were calculated with the Log-rank test. LASSO was further used to predict long-term survivors using various cut-off in overall survival (B). In this analysis, predictive modeling was possible only when the cut-off was set within 10 to 17 months.