Prognostic Model and Nomogram Construction Based on a Novel Ferroptosis-Related Gene Signature in Lower-Grade Glioma

Background: Low-grade glioma (LGG) is considered a fatal disease for young adults, with overall survival widely ranging from 1 to 15 years depending on histopathologic and molecular subtypes. As a novel type of programmed cell death, ferroptosis was reported to be involved in tumorigenesis and devel...

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Autores principales:	Junsheng Zhao, Zhengtao Liu, Xiaoping Zheng, Hainv Gao, Lanjuan Li
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	ferroptosis lower-grade glioma prognostic signature TCGA CGGA immune statuses Genetics QH426-470
Acceso en línea:	https://doaj.org/article/905917214b7d4faa9cb9a2ffa74ddcf7
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spelling	oai:doaj.org-article:905917214b7d4faa9cb9a2ffa74ddcf72021-11-08T06:15:18ZPrognostic Model and Nomogram Construction Based on a Novel Ferroptosis-Related Gene Signature in Lower-Grade Glioma1664-802110.3389/fgene.2021.753680https://doaj.org/article/905917214b7d4faa9cb9a2ffa74ddcf72021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.753680/fullhttps://doaj.org/toc/1664-8021Background: Low-grade glioma (LGG) is considered a fatal disease for young adults, with overall survival widely ranging from 1 to 15 years depending on histopathologic and molecular subtypes. As a novel type of programmed cell death, ferroptosis was reported to be involved in tumorigenesis and development, which has been intensively studied in recent years.Methods: For the discovery cohort, data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) were used to identify the differentially expressed and prognostic ferroptosis-related genes (FRGs). The least absolute shrinkage and selection operator (LASSO) and multivariate Cox were used to establish a prognostic signature with the above-selected FRGs. Then, the signature was developed and validated in TCGA and Chinese Glioma Genome Atlas (CGGA) databases. By combining clinicopathological features and the FRG signature, a nomogram was established to predict individuals’ one-, three-, and five-year survival probability, and its predictive performance was evaluated by Harrell’s concordance index (C-index) and calibration curves. Enrichment analysis was performed to explore the signaling pathways regulated by the signature.Results: A novel risk signature contains seven FRGs that were constructed and were used to divide patients into two groups. Kaplan–Meier (K−M) survival curve and receiver-operating characteristic (ROC) curve analyses confirmed the prognostic performance of the risk model, followed by external validation based on data from the CGGA. The nomogram based on the risk signature and clinical traits was validated to perform well for predicting the survival rate of LGG. Finally, functional analysis revealed that the immune statuses were different between the two risk groups, which might help explain the underlying mechanisms of ferroptosis in LGG.Conclusion: In conclusion, this study constructed a novel and robust seven-FRG signature and established a prognostic nomogram for LGG survival prediction.Junsheng ZhaoZhengtao LiuXiaoping ZhengHainv GaoLanjuan LiFrontiers Media S.A.articleferroptosislower-grade gliomaprognostic signatureTCGACGGAimmune statusesGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ferroptosis lower-grade glioma prognostic signature TCGA CGGA immune statuses Genetics QH426-470
spellingShingle	ferroptosis lower-grade glioma prognostic signature TCGA CGGA immune statuses Genetics QH426-470 Junsheng Zhao Zhengtao Liu Xiaoping Zheng Hainv Gao Lanjuan Li Prognostic Model and Nomogram Construction Based on a Novel Ferroptosis-Related Gene Signature in Lower-Grade Glioma
description	Background: Low-grade glioma (LGG) is considered a fatal disease for young adults, with overall survival widely ranging from 1 to 15 years depending on histopathologic and molecular subtypes. As a novel type of programmed cell death, ferroptosis was reported to be involved in tumorigenesis and development, which has been intensively studied in recent years.Methods: For the discovery cohort, data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) were used to identify the differentially expressed and prognostic ferroptosis-related genes (FRGs). The least absolute shrinkage and selection operator (LASSO) and multivariate Cox were used to establish a prognostic signature with the above-selected FRGs. Then, the signature was developed and validated in TCGA and Chinese Glioma Genome Atlas (CGGA) databases. By combining clinicopathological features and the FRG signature, a nomogram was established to predict individuals’ one-, three-, and five-year survival probability, and its predictive performance was evaluated by Harrell’s concordance index (C-index) and calibration curves. Enrichment analysis was performed to explore the signaling pathways regulated by the signature.Results: A novel risk signature contains seven FRGs that were constructed and were used to divide patients into two groups. Kaplan–Meier (K−M) survival curve and receiver-operating characteristic (ROC) curve analyses confirmed the prognostic performance of the risk model, followed by external validation based on data from the CGGA. The nomogram based on the risk signature and clinical traits was validated to perform well for predicting the survival rate of LGG. Finally, functional analysis revealed that the immune statuses were different between the two risk groups, which might help explain the underlying mechanisms of ferroptosis in LGG.Conclusion: In conclusion, this study constructed a novel and robust seven-FRG signature and established a prognostic nomogram for LGG survival prediction.
format	article
author	Junsheng Zhao Zhengtao Liu Xiaoping Zheng Hainv Gao Lanjuan Li
author_facet	Junsheng Zhao Zhengtao Liu Xiaoping Zheng Hainv Gao Lanjuan Li
author_sort	Junsheng Zhao
title	Prognostic Model and Nomogram Construction Based on a Novel Ferroptosis-Related Gene Signature in Lower-Grade Glioma
title_short	Prognostic Model and Nomogram Construction Based on a Novel Ferroptosis-Related Gene Signature in Lower-Grade Glioma
title_full	Prognostic Model and Nomogram Construction Based on a Novel Ferroptosis-Related Gene Signature in Lower-Grade Glioma
title_fullStr	Prognostic Model and Nomogram Construction Based on a Novel Ferroptosis-Related Gene Signature in Lower-Grade Glioma
title_full_unstemmed	Prognostic Model and Nomogram Construction Based on a Novel Ferroptosis-Related Gene Signature in Lower-Grade Glioma
title_sort	prognostic model and nomogram construction based on a novel ferroptosis-related gene signature in lower-grade glioma
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/905917214b7d4faa9cb9a2ffa74ddcf7
work_keys_str_mv	AT junshengzhao prognosticmodelandnomogramconstructionbasedonanovelferroptosisrelatedgenesignatureinlowergradeglioma AT zhengtaoliu prognosticmodelandnomogramconstructionbasedonanovelferroptosisrelatedgenesignatureinlowergradeglioma AT xiaopingzheng prognosticmodelandnomogramconstructionbasedonanovelferroptosisrelatedgenesignatureinlowergradeglioma AT hainvgao prognosticmodelandnomogramconstructionbasedonanovelferroptosisrelatedgenesignatureinlowergradeglioma AT lanjuanli prognosticmodelandnomogramconstructionbasedonanovelferroptosisrelatedgenesignatureinlowergradeglioma
_version_	1718442927787606016

Prognostic Model and Nomogram Construction Based on a Novel Ferroptosis-Related Gene Signature in Lower-Grade Glioma

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