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. 2022 Oct 6;13:1022147. doi: 10.3389/fimmu.2022.1022147

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Copyright © 2022 Xie, Zheng, Zou, Tang, Tian, Wong, Wu, Ou, Zhao, Cai and Xie

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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The establishment and assessment of the nomogram and prediction of immunotherapy responsiveness. (A) Nomogram based on clinical features and CPI. (B) Calibration curves in predicting the 2-, 3-, 5-, and 10-year survival rate. (C) DCA of nomogram comparing age, tumor size, pathologic N, grade, and CPI. (D) Boxplots of the values of CPI between pCR and nCR groups in GSE91061, GSE165252, and GSE173938 cohorts. (E) Results of chi-square test between responsiveness and CPI groups in GSE91061, GSE165252, and GSE173938 cohorts. (F) ROC curve analysis of predicting the immunotherapy responsiveness in GSE91061, GSE165252, and GSE173938 cohorts.