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. 2022 Aug;10(15):833. doi: 10.21037/atm-22-3736

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2022 Annals of Translational Medicine. All rights reserved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

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Building the ferr.score model. (A) An alluvial diagram, where each column represents a characteristic variable, with different colors representing different subtypes or groupings, and lines representing the distribution of the same sample in different ferr.cluster, ferr.gene.cluster, and ferr.score. (B) The Kaplan-Meier curve shows a significant correlation between the high and low ferr.score groups and overall survival. (C) Pearson correlation was used to analyze the correlation between ferr.score and known genetic characteristics in breast cancer. Negative correlation denoted by blue and positive correlation is denoted by red. The X indicated in the graph shows no significant correlation, and the larger the circle, the more significant it is. (D) The distribution of the enrichment scores of the known gene features in the samples in the high and low ferr.score groups. (E,F) The distribution of ferr.scores in the different ferr.gene.clusters. In the figures, ns (not significant) stands for P>0.05; **, P<0.01; ***, P<0.001; ****, P<0.0001.