High expression of malic enzyme 1 predicts adverse prognosis in patients with cytogenetically normal acute myeloid leukaemia and promotes leukaemogenesis through the IL-6/JAK2/STAT3 pathways.

IF 3.4 3区 医学 Q2 HEMATOLOGY
Therapeutic Advances in Hematology Pub Date : 2024-11-27 eCollection Date: 2024-01-01 DOI:10.1177/20406207241301948
Chang Zhang, Wenlu Li, Fei Wu, Zhongwei Lu, Piaorong Zeng, Zeyu Luo, Yixiong Cao, Feng Wen, Junjun Li, Xi Chen, Fujue Wang
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引用次数: 0

Abstract

Background: Progress in improving risk stratification methods for patients with cytogenetically normal acute myeloid leukaemia (CN-AML) remains limited. This study investigates the prognostic significance and potential functional mechanism of malic enzyme 1 (ME1) in CN-AML.

Methods: Gene expression and clinical data of patients with CN-AML were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets, which were subjected to analysis. The prognostic significance of ME1 was assessed through Kaplan-Meier survival analysis, as well as univariate and multivariate Cox regression analyses. A novel risk model based on ME1 expression levels was developed using TCGA data for predicting CN-AML prognosis. Furthermore, the impact of ME1 silencing on AML cell lines was investigated using the Cell Counting Kit-8 assay and flow cytometry. Gene set enrichment analysis (GSEA) analysis and Western blotting were performed to explore the mechanism of ME1 in CN-AML.

Results: CN-AML patients expressing higher ME1 levels exhibited shorter event-free survival (EFS) and overall survival (OS) compared to those with lower ME1 expression in the TCGA and multiple GEO datasets (all p < 0.05). Univariate and multivariate Cox regression analyses indicated that ME1 expression served as an independent prognostic factor for the EFS (p = 0.024 in TCGA, p = 0.035 in GSE6891) and OS (p = 0.039 in TCGA, p = 0.008 in GSE6891) in patients with CN-AML. The developed risk model demonstrated that patients with CN-AML in the high-risk group had worse survival than those in the low-risk group (hazard ratio: 2.67, 95% confidence interval: 1.54-4.65, p < 0.001) and exhibited strong predictive accuracy for 1-, 3- and 5-year OS (area under the curve = 0.69, 0.75, 0.79, respectively). ME1 knockdown significantly inhibited proliferation and increased apoptosis in AML cells (all p < 0.05). GSEA and Western blotting demonstrated that ME1 regulates the IL-6/JAK2/STAT3 pathway in CN-AML.

Conclusion: Elevated ME1 expression serves as an indicator of poorer prognosis in patients with CN-AML, potentially facilitating leukaemogenesis through the IL-6/JAK2/STAT3 pathway. This suggests that ME1 could be a promising prognostic biomarker and therapeutic target for CN-AML.

苹果酸酶1的高表达可预测细胞遗传学正常的急性髓性白血病患者的不良预后,并通过IL-6/JAK2/STAT3通路促进白血病的发生。
背景:改善细胞遗传学正常的急性髓性白血病(CN-AML)患者风险分层方法的进展仍然有限。本研究探讨苹果酸酶1 (ME1)在CN-AML中的预后意义及可能的功能机制。方法:从Cancer Genome Atlas (TCGA)和Gene expression Omnibus (GEO)数据集中获取CN-AML患者的基因表达和临床数据,并对其进行分析。通过Kaplan-Meier生存分析以及单因素和多因素Cox回归分析评估ME1的预后意义。利用TCGA数据建立了一种基于ME1表达水平的新型风险模型,用于预测CN-AML预后。此外,利用细胞计数试剂盒-8和流式细胞术研究了ME1沉默对AML细胞系的影响。通过基因集富集分析(GSEA)和Western blotting分析ME1在CN-AML中的作用机制。结果:在TCGA和多个GEO数据集中,ME1表达水平较高的CN-AML患者与ME1表达水平较低的患者相比,无事件生存期(EFS)和总生存期(OS)较短(p < 0.05)。单因素和多因素Cox回归分析显示,ME1表达是CN-AML患者EFS (TCGA组p = 0.024, GSE6891组p = 0.035)和OS (TCGA组p = 0.039, GSE6891组p = 0.008)的独立预后因素。建立的风险模型显示,高危组CN-AML患者的生存率低于低危组(风险比:2.67,95%可信区间:1.54-4.65,p < 0.001),对1年、3年和5年OS的预测准确性较强(曲线下面积分别为0.69、0.75、0.79)。ME1敲低显著抑制AML细胞增殖,增加细胞凋亡(均p < 0.05)。GSEA和Western blotting表明,ME1在CN-AML中调控IL-6/JAK2/STAT3通路。结论:ME1表达升高是CN-AML患者预后较差的一个指标,可能通过IL-6/JAK2/STAT3通路促进白血病的发生。这表明ME1可能是一个有希望的预后生物标志物和CN-AML的治疗靶点。
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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
54
审稿时长
7 weeks
期刊介绍: Therapeutic Advances in Hematology delivers the highest quality peer-reviewed articles, reviews, and scholarly comment on pioneering efforts and innovative studies across all areas of hematology. The journal has a strong clinical and pharmacological focus and is aimed at clinicians and researchers in hematology, providing a forum in print and online for publishing the highest quality articles in this area.
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