Construction of a Risk Model to Predict the Prognosis and Immunotherapy of Low-Grade Glioma Ground on 7 Ferroptosis-Related Genes
Liwei Sun,1,* Bing Li,2,* Bin Wang,3 Jinduo Li,3 Jing Li3 1Department of Intervention, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Disease, Tianjin Neurosurgical Institute, Tianjin, People’s Republic of China; 2Department of Neurosurgery...
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Dove Medical Press
2022-05-01
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Online Access: | https://www.dovepress.com/construction-of-a-risk-model-to-predict-the-prognosis-and-immunotherap-peer-reviewed-fulltext-article-IJGM |
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author | Sun L Li B Wang B Li J Li J |
author_facet | Sun L Li B Wang B Li J Li J |
author_sort | Sun L |
collection | DOAJ |
description | Liwei Sun,1,* Bing Li,2,* Bin Wang,3 Jinduo Li,3 Jing Li3 1Department of Intervention, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Disease, Tianjin Neurosurgical Institute, Tianjin, People’s Republic of China; 2Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, People’s Republic of China; 3Department of Intervention, Tianjin Huanhu Hospital, Tianjin, People’s Republic of China*These authors contributed equally to this workCorrespondence: Bing Li, Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, People’s Republic of China, Tel +86-13299998993, Email 13299998993@163.com Liwei Sun, Department of Intervention, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Disease, Tianjin Neurosurgical Institute, Tianjin, People’s Republic of China, Tel +86-13502135838, Email tjshhyyzljrk@163.comPurpose: Ferroptosis is closely associated with tumors. The purpose of this study was to investigate the correlation between ferroptosis and prognosis of low grade glioma (LGG) via construction and verification of a risk model.Patients and Methods: The data of LGG were downloaded from public databases. Through LASSO analysis of characteristic genes, a gene signature was constructed. Patients into were divided two groups based on risk score. Subsequently, survival, clinical phenotype, functional enrichment, immune cell infiltration and somatic mutation analysis were performed. In addition, whether ferroptosis-related genes (FRGs) signature can predict the patient’s response to anti-PD-1/PD-L1 immunotherapy was also investigated.Results: FRGs signature had strong prognostic assessment ability, and high risk score was associated with poor overall survival (OS) of LGG. The high risk score group had higher degree of immune cell infiltration, stronger stromal activity, higher immune score, and high expression of immune checkpoint. In low risk score group anti-PD-1/PD-L1 immunotherapy has significant therapeutic advantages and clinical response. Genes and frequency of somatic mutations and clinical phenotypes in the high and low risk score groups were significantly different.Conclusion: A prognostic model based on 7 FRGs can be used to predict the prognosis and immunotherapeutic response of LGG.Keywords: low grade glioma, ferroptosis, ferroptosis-related genes, risk score, overall survival |
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spelling | doaj.art-8271ddbed03c4850b665d4a2fe654a932022-12-22T00:38:30ZengDove Medical PressInternational Journal of General Medicine1178-70742022-05-01Volume 154697471675106Construction of a Risk Model to Predict the Prognosis and Immunotherapy of Low-Grade Glioma Ground on 7 Ferroptosis-Related GenesSun LLi BWang BLi JLi JLiwei Sun,1,* Bing Li,2,* Bin Wang,3 Jinduo Li,3 Jing Li3 1Department of Intervention, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Disease, Tianjin Neurosurgical Institute, Tianjin, People’s Republic of China; 2Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, People’s Republic of China; 3Department of Intervention, Tianjin Huanhu Hospital, Tianjin, People’s Republic of China*These authors contributed equally to this workCorrespondence: Bing Li, Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, People’s Republic of China, Tel +86-13299998993, Email 13299998993@163.com Liwei Sun, Department of Intervention, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Disease, Tianjin Neurosurgical Institute, Tianjin, People’s Republic of China, Tel +86-13502135838, Email tjshhyyzljrk@163.comPurpose: Ferroptosis is closely associated with tumors. The purpose of this study was to investigate the correlation between ferroptosis and prognosis of low grade glioma (LGG) via construction and verification of a risk model.Patients and Methods: The data of LGG were downloaded from public databases. Through LASSO analysis of characteristic genes, a gene signature was constructed. Patients into were divided two groups based on risk score. Subsequently, survival, clinical phenotype, functional enrichment, immune cell infiltration and somatic mutation analysis were performed. In addition, whether ferroptosis-related genes (FRGs) signature can predict the patient’s response to anti-PD-1/PD-L1 immunotherapy was also investigated.Results: FRGs signature had strong prognostic assessment ability, and high risk score was associated with poor overall survival (OS) of LGG. The high risk score group had higher degree of immune cell infiltration, stronger stromal activity, higher immune score, and high expression of immune checkpoint. In low risk score group anti-PD-1/PD-L1 immunotherapy has significant therapeutic advantages and clinical response. Genes and frequency of somatic mutations and clinical phenotypes in the high and low risk score groups were significantly different.Conclusion: A prognostic model based on 7 FRGs can be used to predict the prognosis and immunotherapeutic response of LGG.Keywords: low grade glioma, ferroptosis, ferroptosis-related genes, risk score, overall survivalhttps://www.dovepress.com/construction-of-a-risk-model-to-predict-the-prognosis-and-immunotherap-peer-reviewed-fulltext-article-IJGMlow grade gliomaferroptosisferroptosis-related genesrisk scoreoverall survival |
spellingShingle | Sun L Li B Wang B Li J Li J Construction of a Risk Model to Predict the Prognosis and Immunotherapy of Low-Grade Glioma Ground on 7 Ferroptosis-Related Genes International Journal of General Medicine low grade glioma ferroptosis ferroptosis-related genes risk score overall survival |
title | Construction of a Risk Model to Predict the Prognosis and Immunotherapy of Low-Grade Glioma Ground on 7 Ferroptosis-Related Genes |
title_full | Construction of a Risk Model to Predict the Prognosis and Immunotherapy of Low-Grade Glioma Ground on 7 Ferroptosis-Related Genes |
title_fullStr | Construction of a Risk Model to Predict the Prognosis and Immunotherapy of Low-Grade Glioma Ground on 7 Ferroptosis-Related Genes |
title_full_unstemmed | Construction of a Risk Model to Predict the Prognosis and Immunotherapy of Low-Grade Glioma Ground on 7 Ferroptosis-Related Genes |
title_short | Construction of a Risk Model to Predict the Prognosis and Immunotherapy of Low-Grade Glioma Ground on 7 Ferroptosis-Related Genes |
title_sort | construction of a risk model to predict the prognosis and immunotherapy of low grade glioma ground on 7 ferroptosis related genes |
topic | low grade glioma ferroptosis ferroptosis-related genes risk score overall survival |
url | https://www.dovepress.com/construction-of-a-risk-model-to-predict-the-prognosis-and-immunotherap-peer-reviewed-fulltext-article-IJGM |
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