Department of Hematology, The First Affiliated Hospital of China Medical University, Liaoning, 110001, Shenyang, China.
Department of Pharmaceutical Toxicology, School of Pharmacy, China Medical University, Shenyang, Liaoning, 110122, China.
BMC Genom Data. 2022 Dec 22;23(1):85. doi: 10.1186/s12863-022-01099-x.
Fatty acid metabolism has been reported to play important roles in the development of acute myeloid leukemia (AML), but there are no prognostic signatures composed of fatty acid metabolism-related genes. As the current prognostic evaluation system has limitations due to the heterogeneity of AML patients, it is necessary to develop a new signature based on fatty acid metabolism to better guide prognosis prediction and treatment selection.
We analyzed the RNA sequencing and clinical data of The Cancer Genome Atlas (TCGA) and Vizome cohorts. The analyses were performed with GraphPad 7, the R language and SPSS.
We selected nine significant genes in the fatty acid metabolism gene set through univariate Cox analysis and the log-rank test. Then, a fatty acid metabolism signature was established based on these genes. We found that the signature was as an independent unfavourable prognostic factor and increased the precision of prediction when combined with classic factors in a nomogram. Gene Ontology (GO) and gene set enrichment analysis (GSEA) showed that the risk signature was closely associated with mitochondrial metabolism and that the high-risk group had an enhanced immune response.
The fatty acid metabolism signature is a new independent factor for predicting the clinical outcomes of AML patients.
脂肪酸代谢在急性髓系白血病（AML）的发展中起着重要作用，但目前尚无由脂肪酸代谢相关基因组成的预后标志物。由于 AML 患者存在异质性，当前的预后评估系统存在局限性，因此有必要基于脂肪酸代谢开发新的标志物，以更好地指导预后预测和治疗选择。
我们分析了癌症基因组图谱（TCGA）和 Vizome 队列的 RNA 测序和临床数据。使用 GraphPad 7、R 语言和 SPSS 进行分析。
通过单因素 Cox 分析和对数秩检验，我们从脂肪酸代谢基因集中选择了 9 个显著基因。然后，我们基于这些基因建立了一个脂肪酸代谢标志物。我们发现，该标志物是一个独立的不利预后因素，并在与经典因素联合构建列线图时提高了预测的准确性。基因本体论（GO）和基因集富集分析（GSEA）表明，风险标志物与线粒体代谢密切相关，且高危组具有增强的免疫反应。
脂肪酸代谢标志物是预测 AML 患者临床结局的一个新的独立因素。
