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ABSTRACT: Background
The mechanisms by which various circulating metabolites influence bladder cancer (BLCA) progression via differentially expressed metabolic pathway genes remain unclear.Methods
This study employed a bidirectional two-sample Mendelian randomization (MR) method to investigate potential causal relationships between circulating metabolites and the risk of BLCA. Thorough methodological assessments were conducted alongside extensive sensitivity analyses to guarantee robustness. The subsequent KEGG pathway enrichment analysis identified biologically significant metabolic pathways, which were subsequently cross-referenced with differentially expressed gene-associated metabolic pathways from TCGA and GEO datasets. Ultimately, we developed graphic representations of the int
SUBMITTER: Chang Z
PROVIDER: S-EPMC12521714 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature