Bioinformatics analysis shows an association between excitotoxicity and glioma prognosis, suggesting therapeutic targets in the tumor microenvironment.
Our bioinformatics analysis reveals a significant association between an ERGs signature and glioma prognosis, providing a novel prognostic risk model with strong predictive capabilities. The identified pathways and immune cell infiltration patterns highlight potential therapeutic targets and suggest a role for the tumor microenvironment in glioma progression. These findings warrant further in vitro and in vivo validation to translate bioinformatics discoveries into personalized therapies that improve clinical outcomes.
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Zhao et al. (2025) studied this question.
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