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...

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Detalles Bibliográficos
Autores principales: Liu, Guoli, Lu, Yuan, Gao, Duangui, Huang, Zhi, Ma, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
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

Internet

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

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