IntroductionTo identify the differentially expressed genes of acute myeloid leukaemia (AML) and construct and verify a survival prognosis model combined with patient survival information.MethodsThe TARGET database was searched to identify differentially expressed peripheral blood genes in children with AML and healthy children. A gene set functional analysis and pathway analysis were performed using gene ontology and the KEGG pathway. A prognostic model for children with AML was constructed using univariate Cox, LASSO Cox regression and multivariate Cox regression analyses. Time‐dependent receiver operating characteristic (ROC) curves were adopted to assess the predictive capacity of the prognostic models.ResultsIn total, 1640 differentially expressed genes were screened (1119 upregulated and 521 downregulated genes). The differentially expressed genes were mainly involved in nutrient metabolism and cytochrome P450 metabolism. Six key genes related to the prognosis of AML, FAM157A, GPR78, IRX5, RP4‐800G7.1, RP11‐179H18.5 and RP11‐61N20.3, were identified. Kaplan–Meier curves indicated that 3‐year and 5‐year overall survival was significantly higher in the low‐risk group than in the high‐risk group. The area under the ROC curve was 0.722. At different stages of AML, FAM157A and RP4‐800G7.1 exhibited significant differences in expression. The expression levels of FAM157A were significantly decreased in AML, whereas the expression levels of GPR78, IRX5, RP4‐800G7.1, RP11‐179H18.5 and RP11‐61N20.3 were significantly increased in AML.ConclusionA prognosis‐related gene model of AML was successfully constructed, and the expression levels of the model genes varied with AML stage.

中文翻译：

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儿童急性髓系白血病关键基因相关预后模型的构建及验证

引言旨在鉴定急性髓性白血病（AML）差异表达基因，结合患者生存信息构建并验证生存预后模型。方法检索TARGET数据库，鉴定AML儿童与健康儿童外周血差异表达基因。使用基因本体和KEGG通路进行基因集功能分析和通路分析。使用单变量 Cox、LASSO Cox 回归和多变量 Cox 回归分析构建了 AML 儿童的预后模型。采用时间依赖性受试者工作特征（ROC）曲线来评估预后模型的预测能力。结果总共筛选出1640个差异表达基因（1119个上调基因和521个下调基因）。差异表达基因主要涉及营养代谢和细胞色素P450代谢。与AML预后相关的6个关键基因，FAM157A,探地雷达78,IRX5,RP4-800G7.1,RP11‐179H18.5和RP11‐61N20.3，被识别出来。 Kaplan-Meier 曲线表明，低风险组的 3 年和 5 年总生存率显着高于高风险组。 ROC曲线下面积为0.722。在AML的不同阶段，FAM157A和RP4-800G7.1表现出显着的表达差异。的表达水平FAM157AAML 中的表达水平显着降低，而探地雷达78,IRX5,RP4-800G7.1,RP11‐179H18.5和RP11‐61N20.3结论成功构建了AML预后相关基因模型，模型基因的表达水平随AML分期不同而存在差异。