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. 2022 Sep 23;12:1007918. doi: 10.3389/fonc.2022.1007918

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Copyright © 2022 Cui, Liu, Wang, Gu, Wang, Sun and Wei

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 immune landscape analysis. (A) The immune landscapes of high-risk and low-risk groups. (B) The correlation between CRLs and different immune cells, AC099850.3 had the highest positive correlation with resting NK cells, and TNFRSF10A-AS1 had the highest negative relation with T cells regulatory and macrophages M0. (C) The variations of immune cell infiltration levels between the high-risk and low-risk groups. (D–K) Analysis of the Pearson correlation between distinct immune cells and risk scores. (L, M) The correlation between DNA stem cell score (DNAss), RNA stem cell score (RNAss), and risk score. *P < 0.05, **P < 0.01, ***P < 0.001.