Figure 5.
Correlation between SOX9 expression and immune cells infiltration level. (A) Scatter plots illustrating the pearson correlation analysis for the associations of SOX9 expression with tumor microenvironment score, stroma score, and immune scores in thymomas, respectively. (B) Dot plots representing the infiltration of immune cells, including activated natural killer cell, CD8+ T cell, follicular T cell, and regulatory T cell, between patients with high and low SOX9 expressions. (C) Dot plots representing M1 and M2 cells between patients with high and low SOX9 expressions. (D) Dot plots representing the infiltration of M1 and M2 cells in patients with high or low SOX9 expression. (E) Scatter plots illustrating the pearson correlation analysis for the associations of SOX9 expression with LCK and RORC expression in thymomas, respectively. (F) Kaplan–Meier survival curves showing that thymoma patients from TCGA dataset with low LCK or RORC RNA expression had shorter overall survival time (P < 0.05), as determined by the log-rank test. Thymoma patients (n = 108) were categorized into high and low LCK or RORC expression groups with the median value of LCK or RORC mRNA expression level as cutoff.