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. 2022 Nov 23;14:1056312. doi: 10.3389/fnagi.2022.1056312

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Copyright © 2022 He, Cong, Liang, Ma, Tian, Li 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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(A) Differential expression of Hub genes between FRGcluster A and B. (B) Differential expression of Hub genes between geneCluster A and B. (C) The corresponding FRGscore was obtained based on the PCA algorithm to compare the similarities and differences between the FRGcluster A and B subtypes FRGscore values. (D) The corresponding FRGscore was obtained using the PCA algorithm to compare the similarities and differences between the geneCluster A and B subtypes FRGscore values. (E) Percentage of senior and junior populations in both FRGcluster A and B subtypes. (F) Percentage of high and low age groups in both FRGcluster A and B subtypes. (G) Age distribution of the population in the high FRGscore and low FRGscore groups. (H) Sanky plots indicate clinical and molecular correlations. (I) Correlations between FRGscore and 28 immune cells. In this figure, the red line represents P < 0.01, the grey line represents P = 0.01–0.05, and the green line represents P ≥ 0.05; the colour of the squares represents the correlation coefficient, with blue being a negative correlation and red a positive correlation. *P < 0.05; ^**P < 0.01; ^****P < 0.001. FRGcluster, Ferroptosis-related gene cluster; FRGscore, Ferroptosis-related gene score; PCA, Principal component analysis.