Fig. 6
Correlation between MUC14 and immune microenvironment in LUAD. (A–C) TIMER analysis of the correlation between MUC14 expression and T cell subsets (effector T - cell, effector Treg T cell, exhausted T cell) via Spearman correlation of log2-transformed TPM values of MUC14 with three effector T-cell markers (CX3CR1, FGFBP2, FCGR3A), four effector Treg T cell markers (FOXP3, CTLA4, CCR8, TNFRSF9), and five exhausted T cell markers (HAVCR2, TIGIT, LAG3, PDCD1, CXCL13, LAYN). R quantifies the strength of association in multiple regression models, ranging from 0 to 1. (D–G) Scatter plots showing the relationships between tumor purity (percentage of tumor cells) and MUC14 expression (log2 TPM), as well as cancer-associated fibroblast/NK cell/T cell regulatory (Tregs)/T cell CD8 + infiltration levels and MUC14 expression (log2 TPM) in tumor samples. Rho is used to assess the monotonic relationship between variables, ranging from − 1 to 1. (H) Consecutive section IHC displaying relationships between MUC14, CD3 and CD8. (I) Correlation of MUC14 IHC score with CD3+/CD8 + T cells in the same field of view. P < 0.05 is considered statistically significant and r is used to assess the linear relationship between two variables, ranging from − 1 to 1.
