MRI-based machine learning reveals proteasome subunit PSMB8-mediated malignant glioma phenotypes through activating TGFBR1/2-SMAD2/3 axis
Abstract Gliomas are the most prevalent and aggressive neoplasms of the central nervous system, representing a major challenge for effective treatment and patient prognosis. This study identifies the proteasome subunit beta type-8 (PSMB8/LMP7) as a promising prognostic biomarker for glioma. Using a...
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| Auteurs principaux: | , , , , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer
2025-05-01
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| Collection: | Molecular Biomedicine |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1186/s43556-025-00268-5 |
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