Machine learning-driven SLC prognostic signature for glioma: predicting survival and immunotherapy response
IntroductionGliomas are the most common and aggressive primary brain tumors, characterized by significant heterogeneity and poor prognosis. Despite advancements in treatment, therapeutic resistance and tumor recurrence remain major challenges. Identifying novel molecular biomarkers is essential for...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2025-06-01
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| coleção: | Frontiers in Pharmacology |
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| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fphar.2025.1585639/full |
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