Integrating single-cell transcriptomics and machine learning reveals 4-aminobiphenyl exposure signatures and novel diagnostic biomarkers in bladder cancer

Through integrated multi-omics analyses, this investigation systematically elucidates 4-ABP's carcinogenic mechanisms while identifying clinically actionable biomarkers and molecular targets for precision medicine applications in bladder cancer prevention and treatment. These findings provide critical insights for developing targeted strategies to mitigate environmental carcinogenesis in susceptible populations. However, this study is limited by its retrospective nature and reliance on public sequencing data, which restricted access to detailed clinical metadata and precluded survival analysis for the identified subtypes.