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. 2020 Oct 30;8:598660. doi: 10.3389/fcell.2020.598660

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Copyright © 2020 Ouyang, Li, Zhu, Wang, Qi, Qu, Tu, Qu and Lu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Establishment of the five-gene prognostic model by Lasso regression analysis based on the 349 SE-associated genes from data downloaded from SEdb. (A,B) Lasso coefficient profiles of the 349 SE-associated genes. (C) Two optimal lambda (λ) values (λ_min and λ_lse) were estimated according to the vertical lines with a minimizing mean-square error. The vertical axis represents the mean-square error, while the horizontal axis represents the value of log(λ). (D) The scatter plot of survival status of patients with osteosarcoma based on the five-gene model (left, λ_min, p = 1.4e−05) or two-gene model (right, λ_lse, p > 0.05) using the Wilcoxon test. (E) ROC curves of the two prognostic models based on λ_min and λ_lse. The values of AUC were included in the figure. AUC, area under the curve; Lasso, least absolute shrinkage and selection operator; ROC, receiver operating characteristic; SE, super-enhancer; SEdb, super-enhancer database.