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一种基于噬排相关基因的新型分子分类方法,用于预测急性髓细胞白血病的临床结局和治疗反应。

A novel molecular classification based on efferocytosis-related genes for predicting clinical outcome and treatment response in acute myeloid leukemia.

机构信息

Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.

出版信息

Inflamm Res. 2024 Nov;73(11):1889-1902. doi: 10.1007/s00011-024-01938-w. Epub 2024 Sep 2.

Abstract

BACKGROUND

Previous studies have shown that macrophage-mediated efferocytosis is involved in immunosuppression in acute myeloid leukemia (AML). However, the regulatory role of efferocytosis in AML remains unclear and needs further elucidation.

METHODS

We first identified the key efferocytosis-related genes (ERGs) based on the expression matrix. Efferocytosis-related molecular subtypes were obtained by consensus clustering algorithm. Differences in immune landscape and biological processes among molecular subtypes were further evaluated. The efferocytosis score model was constructed to quantify molecular subtypes and evaluate its value in prognosis prediction and treatment decision-making in AML.

RESULTS

Three distinct efferocytosis-related molecular subtypes were identified and divided into immune activation, immune desert, and immunosuppression subtypes based on the characteristics of the immune landscape. We evaluated the differences in clinical and biological features among different molecular subtypes, and the construction of an efferocytosis score model can effectively quantify the subtypes. A low efferocytosis score is associated with immune activation and reduced mutation frequency, and patients have a better prognosis. A high efferocytosis score reflects immune exhaustion, increased activity of tumor marker pathways, and poor prognosis. The prognostic predictive value of the efferocytosis score model was confirmed in six AML cohorts. Patients exhibiting high efferocytosis scores may derive therapeutic benefits from anti-PD-1 immunotherapy, whereas those with low efferocytosis scores tend to exhibit greater sensitivity towards chemotherapy. Analysis of treatment data in ex vivo AML cells revealed a group of drugs with significant differences in sensitivity between different efferocytosis score groups. Finally, we validated model gene expression in a clinical cohort.

CONCLUSIONS

This study reveals that efferocytosis plays a non-negligible role in shaping the diversity and complexity of the AML immune microenvironment. Assessing the individual efferocytosis-related molecular subtype in individuals will help to enhance our understanding of the characterization of the AML immune landscape and guide the establishment of more effective clinical treatment strategies.

摘要

背景

先前的研究表明,巨噬细胞介导的吞噬作用参与急性髓细胞白血病(AML)中的免疫抑制。然而,吞噬作用在 AML 中的调节作用尚不清楚,需要进一步阐明。

方法

我们首先根据表达矩阵确定关键的吞噬作用相关基因(ERGs)。通过共识聚类算法获得吞噬作用相关的分子亚型。进一步评估分子亚型之间免疫景观和生物学过程的差异。构建吞噬作用评分模型来量化分子亚型,并评估其在 AML 预后预测和治疗决策中的价值。

结果

我们鉴定了三种不同的吞噬作用相关的分子亚型,并根据免疫景观的特点将其分为免疫激活、免疫荒漠和免疫抑制亚型。我们评估了不同分子亚型之间临床和生物学特征的差异,并且构建的吞噬作用评分模型可以有效地量化亚型。低吞噬作用评分与免疫激活和突变频率降低相关,患者预后较好。高吞噬作用评分反映了免疫衰竭、肿瘤标志物途径活性增加和不良预后。吞噬作用评分模型的预后预测价值在六个 AML 队列中得到了验证。表现出高吞噬作用评分的患者可能从抗 PD-1 免疫治疗中获益,而表现出低吞噬作用评分的患者往往对化疗更敏感。对体外 AML 细胞的治疗数据进行分析发现,不同吞噬作用评分组之间存在一组药物敏感性差异显著的药物。最后,我们在临床队列中验证了模型基因表达。

结论

这项研究揭示了吞噬作用在塑造 AML 免疫微环境的多样性和复杂性方面起着不可忽视的作用。评估个体的个体吞噬作用相关分子亚型将有助于增强我们对 AML 免疫景观特征的理解,并指导制定更有效的临床治疗策略。

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