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Bladder cancer (BLCA) is a highly aggressive malignancy with poor prognosis. DNA replication stress-related genes (DRSGs) hold prognostic significance in multiple cancers, and their expression patterns in BLCA may reveal novel biomarkers and therapeutic targets.
This study was designed using a public database and the Cancer Genome Atlas (TCGA). Genes associated with DNA replication stress in BLCA were discovered by analyzing data from the TCGA and GEO databases using bioinformatics tools. The prognostic gene expression profiles in BLCA cell lines were analyzed using Western blotting (WB). The motility capacity of BLCA cells was evaluated using the wound healing and Transwell migration assays, while cell growth was ascertained with the CCK-8 assay.
Five DRSGs with prognostic significance were identified, and a risk score model was constructed using univariate Cox regression and the Least Absolute Shrinkage and Selection Operator (LASSO) regression algorithm. Kaplan-Meier (KM) analysis showed worse Overall Survival (OS) in the high-risk group (P < 0.05). Gene Set Enrichment Analysis (GSEA) indicated involvement in tumor-related pathways. The nomogram effectively predicted OS in both training and validation cohorts. WB and functional assays confirmed gene expression and effects on BLCA cell proliferation and migration.
This study first validates DRSGs’ prognostic value in bladder cancer, highlighting potential biomarkers and targets. Limitations include reliance on public data and in vitro tests. Future research should use multicenter cohorts and animal models to confirm clinical relevance.
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