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. 2021 Jun 11;11:629860. doi: 10.3389/fonc.2021.629860

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Copyright © 2021 Huang, Fu, Zhang, Xu, Li, Onwuka, Zhang, Zhao, Sun, Zhu, Zheng, Jia, Cui and Zhao

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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Predictive OS performance of the signature using time-dependent ROC analysis and the nomogram in training and validation sets. (A) Time-dependent ROC curves analysis for the 3-, 5-, and 10-year OS prediction by signature in the training set. (B) Time-dependent ROC curves analysis for the 3-, 5-, and 8-year OS prediction by signature in the testing set. (C) Nomogram to predict the 1-, 5-, and 10-year OS of CRC patients in the training set. (D) Calibration curves of 5-year OS nomogram model in the training set. (E) Nomogram to predict the 1-, 3-, and 5-year OS of CRC patients in the testing set. (F) Calibration curves of 5-year OS nomogram model in the testing set. The gray line represents the ideal predictive model, and the red line represents the observed model.