A combined immune and exosome-related risk signature as prognostic biomakers in acute myeloid leukemia.

IF 2 4区医学 Q3 HEMATOLOGY

Hematology Pub Date : 2024-12-01 Epub Date: 2024-01-07 DOI:10.1080/16078454.2023.2300855

Zenghui Fang, Jiali Fu, Xin Chen

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引用次数: 0

Abstract

Objectives: Acute myeloid leukemia (AML) is one of the common hematological diseases with low survival rates. Studies have highlighted the dysregulated expression of immune-related and exosome-related genes (ERGs) in cancers. Nevertheless, it remains to be determined whether combining these genes have a prognostic significance in AML.

Methods: Immune-ERG profiles for 151 AML patients from TCGA were analyzed. A risk model was constructed and optimized through the combination of univariate Cox regression and LASSO regression analysis. GEO datasets were utilized as the external validation for the robustness of the risk model. In addition, we performed KEGG and GO enrichment analyses to investigate the role played by these genes in AML. The variations in immune cell infiltrations among risk groups were assessed through four algorithms. Expression of hub gene in specific cell was analyzed by single-cell RNA seq.

Results: A total of 85 immune-ERGs associated with prognosis were identified, enabling the construction of a risk model for AML. The risk model based on five immune-ERGs (CD37, NUCB2, LSP1, MGST1, and PLXNB1) demonstrated a correlation with the clinical outcomes. Additionally, age, FAB classification, cytogenetics risk, and risk score were identified as independent prognostic factors. The five immune-ERGs exhibited correlations with cytokine-cytokine receptor interaction, and antigen processing and presentation. Notably, the risk model demonstrated significant associations with immune responses and the expression of immune checkpoints.

Conclusions: An immune-ERG-based risk model was developed to effectively predict prognostic outcomes for AML patients. There is potential for immune therapy in AML targeting the five hub genes.

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作为急性髓性白血病预后生物标记的免疫和外泌体相关风险组合特征。

研究目的急性髓性白血病（AML）是生存率较低的常见血液病之一。研究强调了癌症中免疫相关基因和外泌体相关基因（ERGs）的表达失调。然而，这些基因的结合是否对急性髓细胞白血病的预后具有重要意义仍有待确定：方法：分析了 TCGA 中 151 例急性髓细胞性白血病患者的免疫-ERG 图谱。通过结合单变量 Cox 回归和 LASSO 回归分析，构建并优化了风险模型。GEO 数据集被用作风险模型稳健性的外部验证。此外，我们还进行了 KEGG 和 GO 富集分析，以研究这些基因在 AML 中的作用。我们通过四种算法评估了不同风险组免疫细胞浸润的差异。通过单细胞RNA序列分析了枢纽基因在特定细胞中的表达：结果：共鉴定出85个与预后相关的免疫ERG，从而构建了急性髓细胞性白血病的风险模型。基于5个免疫ERG（CD37、NUCB2、LSP1、MGST1和PLXNB1）的风险模型显示与临床结果相关。此外，年龄、FAB分类、细胞遗传学风险和风险评分也被确定为独立的预后因素。五种免疫ERG与细胞因子-细胞因子受体相互作用、抗原处理和递呈存在相关性。值得注意的是，风险模型与免疫反应和免疫检查点的表达有显著关联：结论：基于免疫-ERG的风险模型可以有效预测急性髓细胞白血病患者的预后结果。针对五个枢纽基因的急性髓细胞性白血病免疫疗法具有潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Hematology 医学-血液学

CiteScore

2.60

自引率

5.30%

发文量

140

审稿时长

3 months

期刊介绍： Hematology is an international journal publishing original and review articles in the field of general hematology, including oncology, pathology, biology, clinical research and epidemiology. Of the fixed sections, annotations are accepted on any general or scientific field: technical annotations covering current laboratory practice in general hematology, blood transfusion and clinical trials, and current clinical practice reviews the consensus driven areas of care and management.