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Characterization of the Ferroptosis-Related Genes for Prognosis and Immune Infiltration in Low-Grade Glioma

Background: Although ferroptosis has been validated to play a crucial role in some types of tumors, the influence of ferroptosis-related genes (FRGs) on the immune microenvironment in low-grade glioma (LGG) remains unclear. In this research, we screen the FRGs to assess the prognosis value and immun...

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Autores principales: Yan, Xiuwei, Ji, Hang, Liu, Zhihui, Ma, Shuai, Dong, Jiawei, Jiang, Xiaoyan, Hu, Xueyan, Wang, Fang, Zhao, Hongtao, Jin, Jiaqi, Zhang, Jiheng, Wang, Nan, Du, Jianyang, Hu, Shaoshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086515/
https://www.ncbi.nlm.nih.gov/pubmed/35559020
http://dx.doi.org/10.3389/fgene.2022.880864
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author Yan, Xiuwei
Ji, Hang
Liu, Zhihui
Ma, Shuai
Dong, Jiawei
Jiang, Xiaoyan
Hu, Xueyan
Wang, Fang
Zhao, Hongtao
Jin, Jiaqi
Zhang, Jiheng
Wang, Nan
Du, Jianyang
Hu, Shaoshan
author_facet Yan, Xiuwei
Ji, Hang
Liu, Zhihui
Ma, Shuai
Dong, Jiawei
Jiang, Xiaoyan
Hu, Xueyan
Wang, Fang
Zhao, Hongtao
Jin, Jiaqi
Zhang, Jiheng
Wang, Nan
Du, Jianyang
Hu, Shaoshan
author_sort Yan, Xiuwei
collection PubMed
description Background: Although ferroptosis has been validated to play a crucial role in some types of tumors, the influence of ferroptosis-related genes (FRGs) on the immune microenvironment in low-grade glioma (LGG) remains unclear. In this research, we screen the FRGs to assess the prognosis value and immune microenvironment in LGG, to provide reliable diagnosis and treatment evidence for the clinic. Methods: A total of 1,239 patients of LGG samples were selected for subsequent analyses from The Cancer Genome Atlas, Chinese Glioma Genome Atlas, and the Repository of Molecular Brain Neoplasia Data datasets. Univariate Cox regression analysis was used to screen for prognostic FRGs. Consensus clustering was utilized to determine ferroptosis subtypes of LGG patients. Next, the prognostic model was constructed based on differentially expressed FRGs and validation in the validating datasets. The immune microenvironment, biological pathway, and hypoxia score were explored by single-sample gene set enrichment analysis. The potential response of chemotherapy and immune checkpoint blockade therapy was also estimated. In addition, the correlation between the risk score and autophagy-related genes was examined by the Pearson correlation coefficient. Results: A total of three ferroptosis subtypes were identified by consensus clustering for prognostic FRGs which exhibited different outcomes, clinicopathological characteristics, and immune microenvironment. Afterward, a prognostic model that performed great predictive ability based on nine prognostic FRGs has been constructed and validated. Moreover, the prognostic model had the potential to screen the sensitivity to chemotherapy and immunotherapy in LGG patients. Finally, we also found that the prognostic model has a great connection to autophagy and hypoxia. Conclusion: We developed a ferroptosis-related prognostic model which strongly linked to diagnosis, treatment, prognosis, and recurrence of LGG. This study also reveals the connection between ferroptosis and tumor immune microenvironment.
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spelling pubmed-90865152022-05-11 Characterization of the Ferroptosis-Related Genes for Prognosis and Immune Infiltration in Low-Grade Glioma Yan, Xiuwei Ji, Hang Liu, Zhihui Ma, Shuai Dong, Jiawei Jiang, Xiaoyan Hu, Xueyan Wang, Fang Zhao, Hongtao Jin, Jiaqi Zhang, Jiheng Wang, Nan Du, Jianyang Hu, Shaoshan Front Genet Genetics Background: Although ferroptosis has been validated to play a crucial role in some types of tumors, the influence of ferroptosis-related genes (FRGs) on the immune microenvironment in low-grade glioma (LGG) remains unclear. In this research, we screen the FRGs to assess the prognosis value and immune microenvironment in LGG, to provide reliable diagnosis and treatment evidence for the clinic. Methods: A total of 1,239 patients of LGG samples were selected for subsequent analyses from The Cancer Genome Atlas, Chinese Glioma Genome Atlas, and the Repository of Molecular Brain Neoplasia Data datasets. Univariate Cox regression analysis was used to screen for prognostic FRGs. Consensus clustering was utilized to determine ferroptosis subtypes of LGG patients. Next, the prognostic model was constructed based on differentially expressed FRGs and validation in the validating datasets. The immune microenvironment, biological pathway, and hypoxia score were explored by single-sample gene set enrichment analysis. The potential response of chemotherapy and immune checkpoint blockade therapy was also estimated. In addition, the correlation between the risk score and autophagy-related genes was examined by the Pearson correlation coefficient. Results: A total of three ferroptosis subtypes were identified by consensus clustering for prognostic FRGs which exhibited different outcomes, clinicopathological characteristics, and immune microenvironment. Afterward, a prognostic model that performed great predictive ability based on nine prognostic FRGs has been constructed and validated. Moreover, the prognostic model had the potential to screen the sensitivity to chemotherapy and immunotherapy in LGG patients. Finally, we also found that the prognostic model has a great connection to autophagy and hypoxia. Conclusion: We developed a ferroptosis-related prognostic model which strongly linked to diagnosis, treatment, prognosis, and recurrence of LGG. This study also reveals the connection between ferroptosis and tumor immune microenvironment. Frontiers Media S.A. 2022-04-26 /pmc/articles/PMC9086515/ /pubmed/35559020 http://dx.doi.org/10.3389/fgene.2022.880864 Text en Copyright © 2022 Yan, Ji, Liu, Ma, Dong, Jiang, Hu, Wang, Zhao, Jin, Zhang, Wang, Du and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Yan, Xiuwei
Ji, Hang
Liu, Zhihui
Ma, Shuai
Dong, Jiawei
Jiang, Xiaoyan
Hu, Xueyan
Wang, Fang
Zhao, Hongtao
Jin, Jiaqi
Zhang, Jiheng
Wang, Nan
Du, Jianyang
Hu, Shaoshan
Characterization of the Ferroptosis-Related Genes for Prognosis and Immune Infiltration in Low-Grade Glioma
title Characterization of the Ferroptosis-Related Genes for Prognosis and Immune Infiltration in Low-Grade Glioma
title_full Characterization of the Ferroptosis-Related Genes for Prognosis and Immune Infiltration in Low-Grade Glioma
title_fullStr Characterization of the Ferroptosis-Related Genes for Prognosis and Immune Infiltration in Low-Grade Glioma
title_full_unstemmed Characterization of the Ferroptosis-Related Genes for Prognosis and Immune Infiltration in Low-Grade Glioma
title_short Characterization of the Ferroptosis-Related Genes for Prognosis and Immune Infiltration in Low-Grade Glioma
title_sort characterization of the ferroptosis-related genes for prognosis and immune infiltration in low-grade glioma
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086515/
https://www.ncbi.nlm.nih.gov/pubmed/35559020
http://dx.doi.org/10.3389/fgene.2022.880864
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