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. 2022 Sep 27;12:963096. doi: 10.3389/fonc.2022.963096

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Copyright © 2022 Dong, Zhang, Zhang, Wang, Liu, Wang, Hao, Tan and Chang

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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Immune cell infiltration with the CIBERSORT algorithm (A) The abundance ratios of immune cells in the CGGA samples. The 22 specific immune cells corresponding to one sample by different colors, as shown in the bar plot. (B) The varied proportions of 22 subtypes of immune cells in the high and low hepcidin groups in tumor samples. Horizontal and vertical axes represent TIICs and relative percentages, respectively. Blue and red colors represent the low and high hepcidin expression groups, respectively. (C) The correlation between immune infiltrating cells and hepcidin expression. The ordinate represents the name of the immune cell, and the abscissa represents the correlation coefficient. *p < 0.05, **p < 0.01, and ***p < 0.001.