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Fig. 9 | Journal of Experimental & Clinical Cancer Research

Fig. 9

From: Investigating the impact of regulatory B cells and regulatory B cell-related genes on bladder cancer progression and immunotherapeutic sensitivity

Fig. 9

The mutational landscape associated with BREGRS. (A, B) The mutational frequency and subtypes of the Top 20 genes with the highest mutational frequency in low- (A) and high- (B) BREGRS subjects from the TCGA-BLCA cohort. (C) BREGRS significantly predicts the mutation statuses of FGFR3, PIK3CA, and RB1. (D) Cases with high BREGRS and mutations in FGFR3, PIK3CA, or RB1 exhibit the worst OS. (E) Subgroup analysis demonstrates the prognostic value of BREGRS in BLCA cases with different gene mutation statuses. (F) The association between BREGRS stratification and copy number variations (CNVs) of specific genes. (G, H) Functional annotation of positively-associated (G) and negatively-associated (H) genes based on CNV frequency. (I) A PPI network constructed to reveal the potential interactions among the BREGRS-associated genes based on CNV alterations. CNV, Copy Number Variation; *P < 0.05; **P < 0.01; ***P < 0.001

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