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. 2023 Aug 11;13:1204335. doi: 10.3389/fonc.2023.1204335

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Copyright © 2023 Chen, Wang, Wu, Lan and Li

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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Kaplan-Meier analysis, ROC curves, and nomogram of risk groups. (A) Kaplan-Meier analysis of the Recurrence free survival (RFS) of all-risk and low-risk groups in the training group (B) Kaplan-Meier analysis of the RFS of high-risk and low-risk groups in the training group. (C) Kaplan-Meier analysis of the RFS of high-risk and low-risk groups in the training group. (D) ROC curves predict 1-, 3-, and 5-year survival of all group patients. (E) ROC curves predicting 1-, 3-, and 5-year survival rates for patients in the train group. (F) ROC curves predicting 1-, 3-, and 5-year survival rates for test group patients. (G) The multivariate Cox regression analysis of clinical characteristics and risk score in all groups. (H) The multivariate Cox regression analysis of clinical characteristics and risk score in train group. (I) The multivariate Cox regression analysis of clinical characteristics and risk score in test group. (J) Construction of a nomogram based on clinical characteristics and risk score for prognostic signature. (J) ROC, receiver operating characteristic. * represents P<0.05, ** represents P<0.01, *** represents P<0.001.