Background:Bladder cancer exhibits substantial heterogeneity encompassing genetic
expressions and histological features. This heterogeneity is predominantly attributed to alternative
splicing (AS) and AS-regulated splicing factors (SFs), which, in turn, influence bladder
cancer development, progression, and response to treatment.Objective:This study aimed to explore the immune landscape of aberrant AS in bladder cancer
and establish the prognostic signatures for survival prediction.Methods:Bladder cancer-related RNA-Seq, transcriptome, and corresponding clinical information
were downloaded from The Cancer Genome Atlas (TCGA). Gene set enrichment analysis
(GSEA) was used to identify significantly enriched pathways of cancer-related AS events.
The underlying interactions among differentially expressed genes (DEGs) and cancer-related
AS events were assessed by a protein-protein interaction network. Univariate and multivariate
Cox regression analyses were performed to identify crucial prognostic DEGs that co-occurred
with cancer-related AS events (DEGAS) for overall survival. The area under the curve (AUC)
of receiver operating characteristic (ROC) curves was used to assess the efficiency of the prognostic
signatures. The CIBERSORT algorithm was used to explore the abundance of immune
infiltrating cells.Results:A total of 3755 cancer-related AS events and 3110 DEGs in bladder cancer were identified.
Among them, 379 DEGs co-occurred with cancer-related AS events (DEGAS), of which
102 DEGAS were associated with 14 dysregulated SFs. GSEA and KEGG analysis showed that
cancer-related AS events were predominantly enriched in pathways related to immunity, tumorigenesis,
and treatment difficulties of bladder cancer. Multivariate Cox regression analysis identified
8 DEGAS (CABP1, KCNN2, TNFRSF13B, PCDH7, SNRPA1, APOLD1, CX3CL1, and
DENND5A) significantly associated with OS, and they were further integrated into the prediction
model with good AUCs at 3-year, 5-year and 7-year ROC curves (all>0.7). Immune infiltration
analysis revealed the significant enrichment of three immune cell types (B cells naïve,
dendritic cells resting, and dendritic cell activated) in high-risk bladder cancer patients.Conclusion:This study not only unveiled comprehensive prognostic signatures of AS events in
bladder cancer but also established a robust prognostic model based on survival-related DEGAS.
These aberrant AS events, dysregulated SFs, and the identified 8 DEGAS may have significant
clinical potential as therapeutic targets for bladder cancer.