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Prognostic Prediction Model for Glioblastoma: A Ferroptosis-Related Gene Prediction Model and Independent External Validation

Glioblastoma (GBM) is the most common primary malignant intracranial tumor with a poor prognosis. Ferroptosis is a newly discovered, iron-dependent, regulated cell death, and recent studies suggest its close correlation to GBM. The transcriptome and clinical data were obtained for patients diagnosed...

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Published in:Journal of clinical medicine 2023-02, Vol.12 (4), p.1341
Main Authors: Chen, Wenlin, Lei, Chuxiang, Wang, Yuekun, Guo, Dan, Zhang, Sumei, Wang, Xiaoxi, Zhang, Zixin, Wang, Yu, Ma, Wenbin
Format: Article
Language:English
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Summary:Glioblastoma (GBM) is the most common primary malignant intracranial tumor with a poor prognosis. Ferroptosis is a newly discovered, iron-dependent, regulated cell death, and recent studies suggest its close correlation to GBM. The transcriptome and clinical data were obtained for patients diagnosed with GBM from TCGA, GEO, and CGGA. Ferroptosis-related genes were identified, and a risk score model was constructed using Lasso regression analyses. Survival was evaluated by univariate or multivariate Cox regressions and Kaplan-Meier analyses, and further analyses were performed between the high- and low-risk groups. There were 45 ferroptosis-related different expressed genes between GBM and normal brain tissues. The prognostic risk score model was based on four favorable genes, and , and four unfavorable genes, , and . A significant difference in OS between high- and low-risk groups was observed in both the training cohort ( < 0.001) and the validation cohorts ( = 0.029 and 0.037). Enrichment analysis of pathways and immune cells and functioning was conducted between the two risk groups. A novel prognostic model for GBM patients was developed based on eight ferroptosis-related genes, suggesting a potential prediction effect of the risk score model in GBM.
ISSN:2077-0383
2077-0383
DOI:10.3390/jcm12041341