Liu Shuhan, Chen Yingli, Li Qianzhong, Fan Zhiyu, Li Menglan, Du Pengyu
Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China.
The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010021, China.
Biophys Rep. 2024 Dec 31;10(6):377-387. doi: 10.52601/bpr.2024.240029.
Acute myeloid leukemia (AML) is a rare tumor that invades the blood and bone marrow, it is rapidly progressive, highly aggressive, and difficult to cure. Studies have shown that long non-coding RNA (lncRNA) and ferroptosis play important roles in AML. However, few studies have been done on ferroptosis-related lncRNA for AML. To investigate the role of ferroptosis-related lncRNA in AML prognosis, we screened the differentially expressed genes related to ferroptosis and lncRNA. Ferroptosis-related lncRNA associated with AML prognosis was obtained by Pearson correlation analysis. By using univariate Cox analysis, least absolute shrinkage and selection operator (LASSO) analysis, and multivariate Cox analysis, the ten prognostic genes were used for constructing the prognostic model. The model was then validated using a Kaplan-Meier analysis and Cox regression analysis. The ROC results have shown that the model could better predict AML survival. We identified some mutated genes that may affect the poor prognosis based on the somatic mutation analysis. The enrichment pathway analysis of prognostic genes revealed that these genes were mainly enriched in some immune pathways and cancer pathways. By immune infiltration analysis, we found that high-risk patients may respond better to immunotherapy.
急性髓系白血病（AML）是一种侵袭血液和骨髓的罕见肿瘤，进展迅速、侵袭性强且难以治愈。研究表明，长链非编码RNA（lncRNA）和铁死亡在AML中发挥重要作用。然而，针对AML中与铁死亡相关的lncRNA的研究较少。为了探究与铁死亡相关的lncRNA在AML预后中的作用，我们筛选了与铁死亡和lncRNA相关的差异表达基因。通过Pearson相关分析获得了与AML预后相关的铁死亡相关lncRNA。通过单因素Cox分析、最小绝对收缩和选择算子（LASSO）分析以及多因素Cox分析，使用这10个预后基因构建预后模型。然后使用Kaplan-Meier分析和Cox回归分析对该模型进行验证。ROC结果表明，该模型能够更好地预测AML患者的生存情况。基于体细胞突变分析，我们鉴定了一些可能影响预后不良的突变基因。预后基因的富集通路分析表明，这些基因主要富集在一些免疫通路和癌症通路中。通过免疫浸润分析，我们发现高危患者可能对免疫治疗反应更好。
