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. 2020 Jul 31;10:12949. doi: 10.1038/s41598-020-67760-6

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© The Author(s) 2020

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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Identification of a metabolism-related signature by Cox proportional hazards model in TCGA cohort. (A,B) Heatmap and Volcano plot of 105 differentially expressed metabolism-related genes. (C) Forrest plot of results of the univariate Cox regression analysis (P < 0.001). (D,E) Lasso Cox regression algorithm. (F) Coefficient value for each of the 10 active covariates genes (red represents upregulated in tumor, while green indicates the downregulated), X-axis represents gene name, and Y-axis represents the coefficient value of the model. (G) Heatmap of the 10 genes of the signature based on the risk score value.