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Identification of an energy metabolism-related six-gene signature for distinguishing and forecasting the prognosis of low-grade gliomas
BACKGROUND: Low-grade gliomas (LGG) account for 20–25% of all gliomas. In this study, we assessed whether metabolic status was correlated with clinical outcomes in LGG patients using data from The Cancer Genome Atlas (TCGA). METHODS: LGG patient data were collected from TCGA, and the Molecular Signa...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951020/ https://www.ncbi.nlm.nih.gov/pubmed/36846014 http://dx.doi.org/10.21037/atm-22-6502 |