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. 2021 May 6;12:663495. doi: 10.3389/fimmu.2021.663495

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Copyright © 2021 Liu, Yang and Wu

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 role of ICI scores in the evaluation of melanoma clinical characteristics and immune therapy benefit. (A) The forest plot of stratified survival analysis for clinical indicator based on ICI score. The length of the horizontal line represents the 95% CI for each group, the sample number, HR and 95%CI as well as P value of each group were listed. (B) Kaplan-Meier curves of overall survival for high and low ICI score cluster in GSE19423 cohort. Log rank test P =0.026. (C) The predictive value of the ICI score measured by ROC curves in GSE19423. (D) Kaplan-Meier curves of overall survival for high and low ICI score cluster in GSE78220. Log rank test P =0.014. (E) The predictive value of the ICI score measured by ROC curves in GSE78220. (F) Rate of clinical response to anti-PD1 treatment in high and low ICI score groups in GSE78220. (G) Kaplan-Meier curves of overall survival for high and low ICI score cluster in CA209038 cohort. Log rank test P =0.0449. (H) The predictive value of the ICI score measured by ROC curves in CA209038. (I) Rate of clinical response to anti-PD1 treatment in high and low ICI score groups in CA209038 cohort. (J) Mutation frequency between high and low ICI score group in CA209038 cohort.