Research Paper Volume 15, Issue 13 pp 6429—6444

Figure 1. Classification of coagulation subgroups in bladder cancer. (A–C) The result of consensus matrix (A), consensus CDF (B) and delta area plot (C) suggested that the optimal value of K should be 2, which means it was most appropriate to divide all patients into two subtypes. (D) PCA classification of coagulation subtypes in bladder cancer. (E) K-M survival curve of coagulation subtypes in bladder cancer. The results suggest that hypercoagulable state of bladder cancer is significantly associated with poor prognosis. (F) Differentially expressed genes of coagulation subtypes in bladder cancer. Statistically significant genes were considered to meet the inter-group |log2-fold change (FC)|> 1 and error detection rate (FDR) < 0.05. (G) GO analysis suggested that biological function between coagulation subtypes was mainly enriched in the extracellular matrix, immune-related pathways, and complement and coagulation cascade pathways. (H) KEGG suggested that biological function between coagulation subtypes was mainly enriched in the extracellular matrix, immune-related pathways, and complement and coagulation cascade pathways. (I) The results of Estimate analysis suggest that hypercoagulable state has higher stromal score and estimate score. (J) Lymphocyte infiltration analysis of coagulation subtypes. The abundance of B cell and T cell infiltration with low coagulation state was higher, while the abundance of macrophage infiltration in the high coagulation state was relatively higher. (K) ssGSEA analysis of coagulation subtypes. APC-co-inhibition, check-point, HLA, MHC, T_cell and IFN displayed higher expression in the high coagulation state.