Fig. 1: Establishment of an FRGs-related prognostic model in the TCGA cohort. | Cell Death & Disease

Fig. 1: Establishment of an FRGs-related prognostic model in the TCGA cohort.

From: SLC1A5 enhances malignant phenotypes through modulating ferroptosis status and immune microenvironment in glioma

Fig. 1: Establishment of an FRGs-related prognostic model in the TCGA cohort.The alternative text for this image may have been generated using AI.

A The expression of the total 242 FRGs identified from FerrDb in the TCGA cohort. B The differentially expressed FRGs between GBM and low-grade glioma patients. C The expression of 15 independent prognosis ferroptosis-related DEGs in TCGA cohort. D The prognostic model was constructed by 15 FRGs through LASSO regression analysis. E Univariate-Cox regression analysis of each gene in the model. F Patients were divided into high-risk and low-risk groups. G The relationship between survival state and risk score. H The expression of seven FRGs of the model in the high-risk group and low-risk groups. I The relationship between the risk score and WHO grade. J The relationship between the risk score and IDH mutation status. K Kaplan–Meier survival analysis for the survival time of high-risk patients and low-risk patients. L The ROC curves and AUC of the risk score in TCGA datasbase. Univariate-(M) and multivariate-(N) Cox regression analysis of the risk score.

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