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. 2021 Nov 4;12:750046. doi: 10.3389/fimmu.2021.750046

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Copyright © 2021 Peng, Wu, Zhong, Yu, Cai, Liu, Wen, Ao, Chen, Li, He, Li, Zheng, Chen, Pan, He and Liang

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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Construction and validation of immune-related risk score (IRRS) in the training cohort. (A) Least absolute shrinkage and selection operator (LASSO) coefficient profiles of 28 selected immune cell biomarkers in the 10-fold cross-validation. (B) Partial likelihood deviance revealed by the LASSO regression model in the 10-fold cross-validation. (C) Kaplan–Meier curve estimates the differences of disease-free survival, divided by three IRRS subtypes (low vs. median vs. high). (D) Receiver operating characteristic curves and area under curve (AUC) values indicated the accuracy of the IRRS model. (E) Time-dependent AUC curve estimating the prognostic performance of IRRS. (F, G) Box plots present the infiltration disparities of three IRRS subgroups in tumor nest and tumor stroma. **P < 0.01; ****P < 0.0001; ns, nonsignificant.