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. 2022 Mar 5;15:2501–2513. doi: 10.2147/IJGM.S341502

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© 2022 Lin et al.

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(A) Correlation coefficients between SLC7A11 expression and TMB in different cancers. The size of the dots in the figure represents the value of the correlation coefficients, and the different colors represent different levels of significance (reflected by P values). The closer the color is to blue, the smaller the P value. The vertical axis represents tumor types, while the horizontal axis represents correlation coefficient between SLC7A11 expression and TMB; a positive relationship is represented by a positive value, and the stronger the correlation, the darker the color (*P < 0.05, **P < 0.01, ***P < 0.001). (B and C) Spearman correlation analysis heat maps showing the correlations between immune scores of microenvironment infiltrating immune cells (CD8+ T cells, CD4+ T cells, NK cells, macrophages, endothelial cells, B cells, and myeloid dendritic cells) and SLC7A11 gene expression in 20 tumor tissues. Two latest algorithms, including TIMER (B) and EPIC (B) were used to evaluate immune scores. The horizontal axis represents different tumor tissues, the vertical axis represents different immune scores, and different colors represent correlation coefficients. A positive value represents a positive correlation and a negative value represents a negative correlation. The stronger the correlation, the darker the color, and the asterisk represents the importance (*p) (*p < 0.05, **p < 0.01, ***p < 0.001). The significance of the two groups of samples passed the Wilcox test.