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. 2021 Sep 28;12:698236. doi: 10.3389/fimmu.2021.698236

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Copyright © 2021 Zhou and Gao

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 value of m⁶A-predictive score to predict patients’ clinical outcomes with immunotherapy. (A) Comparison of IPS scores between low and high m⁶A-score groups in meta-GEO and TCGA cohorts. (B) The distribution of CTLA-4 expression levels between low and high m⁶A-score groups in meta-GEO cohort. The distribution of PD-1 expression levels between low and high m6A-score groups in GSE72094 cohort. (C) The Spearman correlation analysis of CTLA-4 and predictive score in meta-GEO cohort. The Spearman correlation analysis of PD-1 and predictive score in GSE72094 cohort. (D) Kaplan-Meier curves for low and high m⁶A-score groups in Gide et al. (49) cohort. (E) Kaplan-Meier curves for low and high m⁶A-score groups in Lauss et al. (50) cohort.