Identification of a novel monocyte/macrophage-related gene signature for predicting survival and immune response in acute myeloid leukemia

被引:0
|
作者
Zhan, Yun [1 ,2 ,4 ]
Ma, Sixing [2 ,3 ]
Zhang, Tianzhuo [1 ,4 ]
Zhang, Luxin [1 ,4 ]
Zhao, Peng [1 ,4 ]
Yang, Xueying [1 ,4 ]
Liu, Min [1 ,4 ]
Cheng, Weiwei [1 ,4 ]
Li, Ya [1 ,4 ]
Wang, Jishi [1 ,2 ,4 ]
机构
[1] Guizhou Med Univ, Dept Hematol, Affiliated Hosp, Guiyang 550004, Peoples R China
[2] Guizhou Med Univ, Dept Clin Med Sch, Guiyang 550004, Peoples R China
[3] Guizhou Med Univ, Dept Vasc Surg, Affiliated Hosp, Guiyang 550004, Peoples R China
[4] Guizhou Med Univ, Guizhou Prov Inst Hematol, Guizhou Prov Hematopoiet Stem Cell Transplantat C, Affiliated Hosp, Guiyang 550004, Peoples R China
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
基金
中国国家自然科学基金;
关键词
Monocyte; macrophage; Tumor immune microenvironment; Immune response; AML; CHECKPOINT BLOCKADE; DISCOVERY; CELLS;
D O I
10.1038/s41598-024-64567-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Acute myeloid leukemia (AML) is a heterogeneous hematological tumor with poor immunotherapy effect. This study was to develop a monocyte/macrophage-related prognostic risk score (MMrisk) and identify new therapeutic biomarkers for AML. We utilized differentially expressed genes (DEGs) in combination with single-cell RNA sequencing to identify monocyte/macrophage-related genes (MMGs). Eight genes were selected for the construction of a MMrisk model using univariate Cox regression analysis and LASSO regression analysis. We then validated the MMrisk on two GEO datasets. Lastly, we investigated the immunologic characteristics and advantages of immunotherapy and potential targeted drugs for MMrisk groups. Our study identified that the MMrisk is composed of eight MMGs, including HOPX, CSTB, MAP3K1, LGALS1, CFD, MXD1, CASP1 and BCL2A1. The low MMrisk group survived longer than high MMrisk group (P < 0.001). The high MMrisk group was positively correlated with B cells, plasma cells, CD4 memory cells, Mast cells, CAFs, monocytes, M2 macrophages, Endothelial, tumor mutation, and most immune checkpoints (PD1, Tim-3, CTLA4, LAG3). Furthermore, drug sensitivity analysis showed that AZD.2281, Axitinib, AUY922, ABT.888, and ATRA were effective in high-risk MM patients. Our research shows that MMrisk is a potential biomarker which is helpful to identify the molecular characteristics of AML immunology.
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页数:14
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