Application of bioinformatics analysis to construct the prognostic model and immune-related gene characteristics of low-grade glioma
Abstract Background Low-grade gliomas (LGG) are slow-growing brain tumors with limited treatment options, making prognosis challenging. Recent advancements in molecular profiling offer potential for better understanding of genetic and immune factors involved in LGG progression, guiding more effectiv...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | Discover Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s12672-025-02639-4 |
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