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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 five-gene signature in MM. (A) Multivariate Cox regression analysis of the five genes (**p < 0.01 and ***p < 0.001). (B) five-gene risk score distribution. Multiple myeloma patients were divided into the high-risk group and low-risk group based on the cut-off value. (C) The survival status and time in high-risk and low-risk groups. (D) The expression profiles of the five genes in high-risk and low-risk groups. (E) Time-dependent ROC curves for the five-gene model to predict patient survival. (F) Kaplan-Meier analysis of the five-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. (G) Kaplan-Meier survival plots of the five prognostic genes CSGALNACT1, REPIN1, TAPBPL, DDX11, and FAM53B for multiple myeloma patients.