Figure 6.

Correlation of the CAF-related prognostic signature with tumor microenvironment and immune infiltration. (A) Comparison of the stromal score, immune score, and ESTIMATE score between high-risk and low-risk groups using the ESTIMATE algorithm. (B) Comparison of the stromal score, immune score, microenvironment score, and fibroblast infiltration between high-risk and low-risk groups using the xCell algorithm. (C–D) Differences in fibroblast infiltration calculated by MCP-Counter (C) and EPIC (D) algorithms between high-risk and low-risk groups. (E) Three algorithms estimate the correlation between the risk score and fibroblast infiltration in PCa. (F) The risk score is positively associated with the proportion of M2 macrophages and negatively related to the infiltration of plasma cells, activated mast cells, CD8⁺ T cells, and follicular helper T cells. (G) Heatmap shows the correlation between the expression of 7 signature genes and 22 immune cells’ infiltration. (H) AUC values for fibroblasts are scored based on the published macrophage polarization signatures (M1 and M2 polarization). Meanwhile, violin plots show the differences in AUC scores among 3 CAF subsets (Azizi et al 2018). AUC = area under the curve, CAFs = cancer-associated fibroblasts, PCa = prostate cancer.