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. 2020 Dec 3;8:596777. doi: 10.3389/fcell.2020.596777

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

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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Risk score model based on 13-gene signature in MM. (A) 13-gene risk score distribution. Multiple myeloma patients were divided into the high-risk group and low-risk group based on the cut-off value. (B) The survival status and time in high-risk and low-risk groups. (C) The expression profiles of the 13 genes in high-risk and low-risk groups. (D) Kaplan-Meier analysis of the 13-gene risk score model to predict patient survival. Upper: Kaplan-Meier curve of the overall survival between the high-risk and low-risk groups. Lower: the number of patients at risk in the high-risk and low-risk groups at different time points. (E) Time-dependent ROC curves for the 13-gene model to predict patient survival. (F) Multivariate Cox regression analysis of the 13 genes (*p < 0.05 and **p < 0.01). Hazard ratio and 95% CI are showed in the figure. Global log-rank p, C-index and AIC were also calculated and showed.