A novel ferroptosis-related gene signature can predict prognosis and influence immune microenvironment in acute myeloid leukemia

  • Xianbo Huang Department of Hematology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
  • De Zhou Department of Hematology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
  • Xiujin Ye Department of Hematology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
  • Jie Jin Department of Hematology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
Keywords: Acute myeloid leukemia, ferroptosis, prognostic gene signature, overall survival, tumor immune microenvironment, drug resistance

Abstract

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.

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Construction of a novel ferroptosis-related gene signature for predicting prognosis and immune microenvironment in acute myeloid leukemia
Published
2021-11-16
How to Cite
1.
Huang X, Zhou D, Ye X, Jin J. A novel ferroptosis-related gene signature can predict prognosis and influence immune microenvironment in acute myeloid leukemia. Bosn J of Basic Med Sci [Internet]. 2021Nov.16 [cited 2021Dec.6];. Available from: https://www.bjbms.org/ojs/index.php/bjbms/article/view/6274
Section
Translational and Clinical Research