Construction of a novel ferroptosis-related gene signature for predicting prognosis and immune microenvironment in acute myeloid leukemia

Acute myeloid leukemia (AML) is a highly heterogeneous hematopoietic malignancy that strongly correlates with poor clinical outcomes. Ferroptosis is an iron-dependent, non-apoptotic form of regulated cell death which plays an important role in various human cancers. Nevertheless, the prognostic sig...

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Autores principales:	Xianbo Huang, De Zhou, Xiujin Ye, Jie Jin
Formato:	article
Lenguaje:	EN
Publicado:	Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2021
Materias:	Acute myeloid leukemia ferroptosis prognostic gene signature overall survival tumor immune microenvironment drug resistance Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/7399aeec64644a838fc5347b011342ff
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spelling	oai:doaj.org-article:7399aeec64644a838fc5347b011342ff2021-11-16T17:17:55ZConstruction of a novel ferroptosis-related gene signature for predicting prognosis and immune microenvironment in acute myeloid leukemia10.17305/bjbms.2021.62741512-86011840-4812https://doaj.org/article/7399aeec64644a838fc5347b011342ff2021-11-01T00:00:00Zhttps://www.bjbms.org/ojs/index.php/bjbms/article/view/6274https://doaj.org/toc/1512-8601https://doaj.org/toc/1840-4812 Acute myeloid leukemia (AML) is a highly heterogeneous hematopoietic malignancy that strongly correlates with poor clinical outcomes. Ferroptosis is an iron-dependent, non-apoptotic form of regulated cell death which plays an important role in various human cancers. Nevertheless, the prognostic significance and functions of ferroptosis-related genes (FRGs) in AML have not received sufficient attention. The aim of this article was to evaluate the association between FRGs levels and AML prognosis using publicly available RNA-sequencing datasets. The univariate Cox regression analysis identified 20 FRGs that correlate with patient overall survival. The LASSO Cox regression model was used to construct a prognostic 12-gene risk model using a TCGA cohort, and internal and external validation proved the signature efficient. The 12-FRGs signature was then used to assign patients into high- and low-risk groups, with the former exhibiting markedly reduced overall survival, compared to the low-risk group. ROC curve analysis verified the predictive ability of the risk model. Functional analysis showed that immune status and drug sensitivity differed between the 2 risk groups. In summary, FRGs is a promising candidate biomarker and therapeutic target for AML. Xianbo HuangDe ZhouXiujin YeJie JinAssociation of Basic Medical Sciences of Federation of Bosnia and HerzegovinaarticleAcute myeloid leukemiaferroptosisprognostic gene signatureoverall survivaltumor immune microenvironmentdrug resistanceMedicine (General)R5-920ENBosnian Journal of Basic Medical Sciences (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Acute myeloid leukemia ferroptosis prognostic gene signature overall survival tumor immune microenvironment drug resistance Medicine (General) R5-920
spellingShingle	Acute myeloid leukemia ferroptosis prognostic gene signature overall survival tumor immune microenvironment drug resistance Medicine (General) R5-920 Xianbo Huang De Zhou Xiujin Ye Jie Jin Construction of a novel ferroptosis-related gene signature for predicting prognosis and immune microenvironment in acute myeloid leukemia
description	Acute myeloid leukemia (AML) is a highly heterogeneous hematopoietic malignancy that strongly correlates with poor clinical outcomes. Ferroptosis is an iron-dependent, non-apoptotic form of regulated cell death which plays an important role in various human cancers. Nevertheless, the prognostic significance and functions of ferroptosis-related genes (FRGs) in AML have not received sufficient attention. The aim of this article was to evaluate the association between FRGs levels and AML prognosis using publicly available RNA-sequencing datasets. The univariate Cox regression analysis identified 20 FRGs that correlate with patient overall survival. The LASSO Cox regression model was used to construct a prognostic 12-gene risk model using a TCGA cohort, and internal and external validation proved the signature efficient. The 12-FRGs signature was then used to assign patients into high- and low-risk groups, with the former exhibiting markedly reduced overall survival, compared to the low-risk group. ROC curve analysis verified the predictive ability of the risk model. Functional analysis showed that immune status and drug sensitivity differed between the 2 risk groups. In summary, FRGs is a promising candidate biomarker and therapeutic target for AML.
format	article
author	Xianbo Huang De Zhou Xiujin Ye Jie Jin
author_facet	Xianbo Huang De Zhou Xiujin Ye Jie Jin
author_sort	Xianbo Huang
title	Construction of a novel ferroptosis-related gene signature for predicting prognosis and immune microenvironment in acute myeloid leukemia
title_short	Construction of a novel ferroptosis-related gene signature for predicting prognosis and immune microenvironment in acute myeloid leukemia
title_full	Construction of a novel ferroptosis-related gene signature for predicting prognosis and immune microenvironment in acute myeloid leukemia
title_fullStr	Construction of a novel ferroptosis-related gene signature for predicting prognosis and immune microenvironment in acute myeloid leukemia
title_full_unstemmed	Construction of a novel ferroptosis-related gene signature for predicting prognosis and immune microenvironment in acute myeloid leukemia
title_sort	construction of a novel ferroptosis-related gene signature for predicting prognosis and immune microenvironment in acute myeloid leukemia
publisher	Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina
publishDate	2021
url	https://doaj.org/article/7399aeec64644a838fc5347b011342ff
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Construction of a novel ferroptosis-related gene signature for predicting prognosis and immune microenvironment in acute myeloid leukemia

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