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

Gene signature
DOI: 10.21037/atm-22-6502 Publication Date: 2023-02-15T01:29:27Z
ABSTRACT
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).
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (0)
CITATIONS (6)