Integrating single-cell transcriptomics and machine learning reveals 4-aminobiphenyl exposure signatures and novel diagnostic biomarkers in bladder cancer
Abstract Background Bladder cancer ranks among the top four most common malignancies in men worldwide. Despite therapeutic advancements, metastatic cases remain associated with dismal survival rates, highlighting the critical importance of studying environmental carcinogenic factors such as 4-aminob...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer
2025-11-01
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| Collection: | Discover Oncology |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1007/s12672-025-03819-y |
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