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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Main Authors: Wenlin Chen, Chuxiang Lei, Yuekun Wang, Dan Guo, Sumei Zhang, Xiaoxi Wang, Zixin Zhang, Yu Wang, Wenbin Ma
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/12/4/1341
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author Wenlin Chen
Chuxiang Lei
Yuekun Wang
Dan Guo
Sumei Zhang
Xiaoxi Wang
Zixin Zhang
Yu Wang
Wenbin Ma
author_facet Wenlin Chen
Chuxiang Lei
Yuekun Wang
Dan Guo
Sumei Zhang
Xiaoxi Wang
Zixin Zhang
Yu Wang
Wenbin Ma
author_sort Wenlin Chen
collection DOAJ
description 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, <i>CRYAB, ZEB1, ATP5MC3,</i> and <i>NCOA4</i>, and four unfavorable genes, <i>ALOX5</i>, <i>CHAC1, STEAP3,</i> and <i>MT1G</i>. A significant difference in OS between high- and low-risk groups was observed in both the training cohort (<i>p</i> < 0.001) and the validation cohorts (<i>p</i> = 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.
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spelling doaj.art-7f2caed8167d47d4ad735cc3bc00db982023-11-16T21:18:12ZengMDPI AGJournal of Clinical Medicine2077-03832023-02-01124134110.3390/jcm12041341Prognostic Prediction Model for Glioblastoma: A Ferroptosis-Related Gene Prediction Model and Independent External ValidationWenlin Chen0Chuxiang Lei1Yuekun Wang2Dan Guo3Sumei Zhang4Xiaoxi Wang5Zixin Zhang6Yu Wang7Wenbin Ma8Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, ChinaDepartment of Cardiac Surgery, State Key Laboratory of Cardiovascular Diseases, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, ChinaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, ChinaClinical Biobank, Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, ChinaClinical Biobank, Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, ChinaClinical Biobank, Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, ChinaClinical Biobank, Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, ChinaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, ChinaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, ChinaGlioblastoma (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, <i>CRYAB, ZEB1, ATP5MC3,</i> and <i>NCOA4</i>, and four unfavorable genes, <i>ALOX5</i>, <i>CHAC1, STEAP3,</i> and <i>MT1G</i>. A significant difference in OS between high- and low-risk groups was observed in both the training cohort (<i>p</i> < 0.001) and the validation cohorts (<i>p</i> = 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.https://www.mdpi.com/2077-0383/12/4/1341differently expressed genesferroptosisglioblastomaprognosisrisk score
spellingShingle Wenlin Chen
Chuxiang Lei
Yuekun Wang
Dan Guo
Sumei Zhang
Xiaoxi Wang
Zixin Zhang
Yu Wang
Wenbin Ma
Prognostic Prediction Model for Glioblastoma: A Ferroptosis-Related Gene Prediction Model and Independent External Validation
Journal of Clinical Medicine
differently expressed genes
ferroptosis
glioblastoma
prognosis
risk score
title Prognostic Prediction Model for Glioblastoma: A Ferroptosis-Related Gene Prediction Model and Independent External Validation
title_full Prognostic Prediction Model for Glioblastoma: A Ferroptosis-Related Gene Prediction Model and Independent External Validation
title_fullStr Prognostic Prediction Model for Glioblastoma: A Ferroptosis-Related Gene Prediction Model and Independent External Validation
title_full_unstemmed Prognostic Prediction Model for Glioblastoma: A Ferroptosis-Related Gene Prediction Model and Independent External Validation
title_short Prognostic Prediction Model for Glioblastoma: A Ferroptosis-Related Gene Prediction Model and Independent External Validation
title_sort prognostic prediction model for glioblastoma a ferroptosis related gene prediction model and independent external validation
topic differently expressed genes
ferroptosis
glioblastoma
prognosis
risk score
url https://www.mdpi.com/2077-0383/12/4/1341
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