A Ferroptosis-Related Prognostic Risk Score Model to Predict Clinical Significance and Immunogenic Characteristics in Glioblastoma Multiforme

Background. Ferroptosis is a recently identified cell death pathway, and the susceptibility to ferroptosis inducers varies among cancer cell types. There have been recent attempts to clarify the mechanisms implicated in ferroptosis, glioma invasion, and the immune microenvironment but little is know...

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Autores principales:	Dongdong Xiao, Yujie Zhou, Xuan Wang, Hongyang Zhao, Chuansheng Nie, Xiaobing Jiang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Cytology QH573-671
Acceso en línea:	https://doaj.org/article/3960f20828ca4db0ba15f209f6ebaf13
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spelling	oai:doaj.org-article:3960f20828ca4db0ba15f209f6ebaf132021-11-22T01:10:27ZA Ferroptosis-Related Prognostic Risk Score Model to Predict Clinical Significance and Immunogenic Characteristics in Glioblastoma Multiforme1942-099410.1155/2021/9107857https://doaj.org/article/3960f20828ca4db0ba15f209f6ebaf132021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9107857https://doaj.org/toc/1942-0994Background. Ferroptosis is a recently identified cell death pathway, and the susceptibility to ferroptosis inducers varies among cancer cell types. There have been recent attempts to clarify the mechanisms implicated in ferroptosis, glioma invasion, and the immune microenvironment but little is known about ferroptosis regulation in GBM. Methods. Screening ferroptosis-related genes from published reports and existing databases, we constructed an integrated model based on the RNA-sequencing data in GBM. The association of FRGPRS and overall survival is identified and validated across several different datasets. Genomic and clinical characteristics, immune infiltration, enriched pathways, pan-cancer, drug resistance, and immune checkpoint inhibitor therapy are compared among various FRGPRS subgroups. Results. We identified and confirmed the influences of five ferroptosis key hub genes in the FRGPRS model. The FRGPRS model could serve to predict overall survival and progression-free survival in GBM patients, and high FRGPRS was associated with comparatively stronger immunity, higher proportions of tumour tissue, and good cytolytic immune and chemotherapeutics response in GBM patients. Conclusions. The five ferroptosis key hub genes constituting the FRGPRS model could serve to predict overall survival and progression-free survival in patients with GBM and help guide timely and efficacious therapeutic strategies customised and optimised for each individual patient. This discovery may lay the foundation for the development and optimisation of other iterations of this model for the improved forecasting, detection, and treatment of other malignancies notorious for their drug resistance and immune escape.Dongdong XiaoYujie ZhouXuan WangHongyang ZhaoChuansheng NieXiaobing JiangHindawi LimitedarticleCytologyQH573-671ENOxidative Medicine and Cellular Longevity, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cytology QH573-671
spellingShingle	Cytology QH573-671 Dongdong Xiao Yujie Zhou Xuan Wang Hongyang Zhao Chuansheng Nie Xiaobing Jiang A Ferroptosis-Related Prognostic Risk Score Model to Predict Clinical Significance and Immunogenic Characteristics in Glioblastoma Multiforme
description	Background. Ferroptosis is a recently identified cell death pathway, and the susceptibility to ferroptosis inducers varies among cancer cell types. There have been recent attempts to clarify the mechanisms implicated in ferroptosis, glioma invasion, and the immune microenvironment but little is known about ferroptosis regulation in GBM. Methods. Screening ferroptosis-related genes from published reports and existing databases, we constructed an integrated model based on the RNA-sequencing data in GBM. The association of FRGPRS and overall survival is identified and validated across several different datasets. Genomic and clinical characteristics, immune infiltration, enriched pathways, pan-cancer, drug resistance, and immune checkpoint inhibitor therapy are compared among various FRGPRS subgroups. Results. We identified and confirmed the influences of five ferroptosis key hub genes in the FRGPRS model. The FRGPRS model could serve to predict overall survival and progression-free survival in GBM patients, and high FRGPRS was associated with comparatively stronger immunity, higher proportions of tumour tissue, and good cytolytic immune and chemotherapeutics response in GBM patients. Conclusions. The five ferroptosis key hub genes constituting the FRGPRS model could serve to predict overall survival and progression-free survival in patients with GBM and help guide timely and efficacious therapeutic strategies customised and optimised for each individual patient. This discovery may lay the foundation for the development and optimisation of other iterations of this model for the improved forecasting, detection, and treatment of other malignancies notorious for their drug resistance and immune escape.
format	article
author	Dongdong Xiao Yujie Zhou Xuan Wang Hongyang Zhao Chuansheng Nie Xiaobing Jiang
author_facet	Dongdong Xiao Yujie Zhou Xuan Wang Hongyang Zhao Chuansheng Nie Xiaobing Jiang
author_sort	Dongdong Xiao
title	A Ferroptosis-Related Prognostic Risk Score Model to Predict Clinical Significance and Immunogenic Characteristics in Glioblastoma Multiforme
title_short	A Ferroptosis-Related Prognostic Risk Score Model to Predict Clinical Significance and Immunogenic Characteristics in Glioblastoma Multiforme
title_full	A Ferroptosis-Related Prognostic Risk Score Model to Predict Clinical Significance and Immunogenic Characteristics in Glioblastoma Multiforme
title_fullStr	A Ferroptosis-Related Prognostic Risk Score Model to Predict Clinical Significance and Immunogenic Characteristics in Glioblastoma Multiforme
title_full_unstemmed	A Ferroptosis-Related Prognostic Risk Score Model to Predict Clinical Significance and Immunogenic Characteristics in Glioblastoma Multiforme
title_sort	ferroptosis-related prognostic risk score model to predict clinical significance and immunogenic characteristics in glioblastoma multiforme
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/3960f20828ca4db0ba15f209f6ebaf13
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A Ferroptosis-Related Prognostic Risk Score Model to Predict Clinical Significance and Immunogenic Characteristics in Glioblastoma Multiforme

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