Abstract
Bladder cancer (BCa) is the most common urological tumor, and most BCas are diagnosed at an advanced stage due to the lack of reliable diagnostic markers. In this study, transcriptomic and clinical data from BCa patients in the TCGA database were analyzed and all patients were randomly divided into a training group and a validation group. Univariate Cox regression analysis was performed to screen miRNAs significantly associated with BCa prognosis, followed by multivariate Cox regression analysis in the training group to establish a prognostic risk model for multiple miRNAs. The model was validated in the validation group and in the whole group and assessed using Norman plots. KEGG pathway and GO enrichment analyses were performed on possible target genes, and PPI networks were constructed. Finally, a prognostic model for 5-miRNA was successfully constructed. Multivariate Cox analysis showed that it had good predictive properties and could be used as a novel biomarker to predict prognosis and survival of BCa patients and may exert its biological function through IGF1.
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