Cui Zelong, Fu Yue, Yang Zongcheng, Gao Zhenxing, Feng Huimin, Zhou Minran, Zhang Lu, Chen Chunyan
Department of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Center of Stomatology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Front Pharmacol. 2022 May 17;13:866325. doi: 10.3389/fphar.2022.866325. eCollection 2022.
Ferroptosis is a widespread form of programmed cell death. The environment of cancer cells makes them vulnerable to ferroptosis, including AML cells, yet the specific association between ferroptosis and AML outcome is little known. In this study, we utilized ferroptosis-related genes to distinguish two subtypes in TCGA cohort, which were subsequently validated in independent AML cohorts. The subtypes were linked with tumor-related immunological abnormalities, mutation landscape and pathway dysregulation, and clinical outcome. Further, we developed a 13-gene prognostic model for AML from DEG analysis in the two subtypes. A risk score was calculated for each patient, and then the overall group was stratified into high- and low-risk groups; the higher risk score correlated with short survival. The model was validated in both independent AML cohorts and pan-cancer cohorts, which demonstrated robustness and extended the usage of the model. A nomogram was constructed that integrated risk score, FLT3-ITD, TP53, and RUNX1 mutations, and age. This model had the additional value of discriminating the sensitivity of several chemotherapeutic drugs and ferroptosis inducers in the two risk groups, which increased the translational value of this model as a potential tool in clinical management. Through integrated analysis of ferroptosis pattern and its related model, our work shed new light on the relationship between ferroptosis and AML, which may facilitate clinical application and therapeutics.
铁死亡是一种广泛存在的程序性细胞死亡形式。癌细胞所处的环境使其易发生铁死亡,包括急性髓系白血病(AML)细胞,但铁死亡与AML预后之间的具体关联鲜为人知。在本研究中,我们利用铁死亡相关基因在TCGA队列中区分出两种亚型,随后在独立的AML队列中进行了验证。这些亚型与肿瘤相关的免疫异常、突变图谱和通路失调以及临床预后相关。此外,我们通过对两种亚型的差异表达基因分析,开发了一种用于AML的13基因预后模型。为每位患者计算风险评分,然后将整个组分为高风险组和低风险组;风险评分越高,生存期越短。该模型在独立的AML队列和泛癌队列中均得到验证,证明了其稳健性并扩展了模型的应用范围。构建了一个列线图,整合了风险评分、FLT3-ITD、TP53和RUNX1突变以及年龄。该模型还具有区分两种风险组中几种化疗药物和铁死亡诱导剂敏感性的附加价值,这增加了该模型作为临床管理潜在工具的转化价值。通过对铁死亡模式及其相关模型的综合分析,我们的工作为铁死亡与AML之间的关系提供了新的见解,这可能有助于临床应用和治疗。