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.

中文翻译：

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构建用于预测急性髓系白血病预后和免疫微环境的新型铁死亡相关基因特征。

急性髓性白血病 (AML) 是一种高度异质性的造血系统恶性肿瘤，与不良临床结果密切相关。铁死亡是一种铁依赖性、非凋亡形式的调节性细胞死亡，在各种人类癌症中起重要作用。然而，铁死亡相关基因（FRGs）在 AML 中的预后意义和功能尚未得到足够的重视。本文的目的是使用公开可用的 RNA 测序数据集评估 FRGs 水平与 AML 预后之间的关联。单变量 Cox 回归分析确定了 20 个与患者总生存期相关的 FRG。LASSO Cox 回归模型用于构建使用 TCGA 队列的预后 12 基因风险模型，内部和外部验证证明签名有效。然后使用 12-FRGs 签名将患者分为高风险组和低风险组，与低风险组相比，前者表现出显着降低的总体生存率。ROC曲线分析验证了风险模型的预测能力。功能分析显示免疫状态和药物敏感性在 2 个风险组之间存在差异。总之，FRGs 是一种很有前途的 AML 候选生物标志物和治疗靶点。