Identification of DUSP7 as an RNA Marker for Prognostic Stratification in Acute Myeloid Leukemia: Evidence from Large Population Cohorts.

IF 1.4 4区生物学 Q4 GENETICS & HEREDITY Genetics research Pub Date : 2023-01-01 DOI:10.1155/2023/4348290

Xin Gao

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Abstract

Background: The problem of prognostic stratification in acute myeloid leukemia (AML) patients still has limitations.

Methods: The expression profile data and clinical features of AML patients were obtained from multiple publicly available sources, including GSE71014, TCGA-LAML, and TARGET-AML. Single-cell analysis was performed using the TISCH project. All the analysis was conducted in the R software.

Results: In our study, three public AML cohorts, GSE71014, TARGET-AML, and TCGA-AML, were selected. Then, we identified the prognosis-related molecules through bioinformatic analysis. Finally, the DUSP7 was noticed as a risk factor for AML patients, which has not been reported previously. Biological enrichment analysis and immune-related analysis were performed to illustrate the role of DUSP7 in AML. Single-cell analysis indicated that the DUSP7 was widely distributed in various cells, especially in monocyte/macrophages and malignant. Following this, a prognosis model based on DUSP7-derived genes was constructed, which showed a good prognosis prediction ability in all cohorts.

Conclusions: Our results preliminarily reveal the role and potential mechanism of DUSP7 in AML, providing direction for future research.

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鉴定DUSP7作为急性髓系白血病预后分层的RNA标志物:来自大人群队列的证据

背景:急性髓系白血病(AML)患者的预后分层问题仍有局限性。方法:从多个公开来源获得AML患者的表达谱数据和临床特征，包括GSE71014、TCGA-LAML和TARGET-AML。使用TISCH项目进行单细胞分析。所有的分析都在R软件中进行。结果:在我们的研究中，选择了三个公共AML队列，GSE71014, TARGET-AML和TCGA-AML。然后，我们通过生物信息学分析确定了与预后相关的分子。最后，DUSP7被发现是AML患者的一个危险因素，这在以前没有报道过。通过生物富集分析和免疫相关分析来阐明DUSP7在AML中的作用。单细胞分析表明，DUSP7广泛分布于各种细胞中，尤其是单核/巨噬细胞和恶性细胞。随后，构建了基于dusp7衍生基因的预后模型，该模型在所有队列中均显示出良好的预后预测能力。结论:我们的研究结果初步揭示了DUSP7在AML中的作用及其潜在机制，为今后的研究提供了方向。

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来源期刊

Genetics research 生物-遗传学

自引率

6.70%

发文量

审稿时长

>12 weeks

期刊介绍： Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.