Ferroptosis-related gene signature correlates with the tumor immune features and predicts the prognosis of glioma patients

铁死亡相关基因特征与肿瘤免疫特征相关并可预测胶质瘤患者的预后

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作者:Yan Hu #, Zewei Tu #, Kunjian Lei #, Kai Huang, Xingen Zhu

Background

Glioma is a malignant intracranial tumor and the most fatal cancer. The role of ferroptosis in the clinical progression of gliomas is unclear. Method: Univariate and least absolute shrinkage and selection operator (Lasso) Cox regression

Conclusion

We established the FRSig to assess the prognosis of glioma patients. The FRSig also represented the glioma microenvironment status. Our FRSig will contribute to improve patient management and individualized therapy by offering a molecular biomarker signature for precise treatment.

Results

We analyzed the correlations between the clinicopathological features and ferroptosis-related gene (FRG) expression and established an FRSig to calculate the risk score for individual glioma patients. Patients were stratified into two subgroups with distinct clinical outcomes. Immune cell infiltration in the glioma microenvironment and immune-related indexes were identified that significantly correlated with the FRSig, the tumor mutation burden (TMB), copy number alteration (CNA), and immune checkpoint expression was also significantly positively correlated with the FRSig score. Ultimately, an FRSig-based nomogram model was constructed using the independent prognostic factors age, World Health Organization (WHO) grade, and FRSig score.

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