Research Paper Volume 16, Issue 14 pp 11385—11408
Integrating single-cell RNA-seq to identify fibroblast-based molecular subtypes for predicting prognosis and therapeutic response in bladder cancer
Figure 8. Identification of molecular subtypes and prognostic signature. (A) Forest plots for the univariate regression analysis of the 10 signature genes. (B) Consensus matrix plots based on signature genes. K = 2 was determined as the optimal clustering number. (C) Kaplan-Meier survival analysis in molecular subtypes A and B. Patients in subtypes A were related to a poorer prognosis than those in subtypes B. (D) Differential expression of signature genes in molecular subtypes. *** indicates p<0.001. (E) Heatmap of the signature gene expressions among molecular subtypes A and B. (F) Kaplan-Meier survival analysis between high- and low-score groups. Patients in high-score groups were related to a poorer prognosis compared to those in low-score groups. (G) Sankey diagram showing the dynamics of individual clusters concerning survival status. (H) Heat map of the correlation between prognostic signature score and immune cell infiltration. Red represents a positive correlation, blue represents a negative correlation; * indicates p<0.05.