Identification of an energy metabolism-related six-gene signature for distinguishing and forecasting the prognosis of low-grade gliomas

• DOI: 10.21037/atm-22-6502
• Publication Date: 2023-02-15T01:29:27Z
• Authors: Guoli Liu; Yuan Lu; Duangui Gao; Zhi Huang; Lin Ma
• Keywords: Gene signature

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).