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.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] An Immune Checkpoint-Related Gene Signature for Predicting Survival of Pediatric Acute Myeloid Leukemia
    Jiang, Feng
    Wang, Xin-Yu
    Wang, Ming-Yan
    Mao, Yan
    Miao, Xiao-Lin
    Wu, Chu-Yan
    Zhou, Guo-Ping
    JOURNAL OF ONCOLOGY, 2021, 2021
  • [2] Identification of a novel unfolded protein response related signature for predicting the prognosis of acute myeloid leukemia
    Long, Fei
    Lu, Wenjie
    Chu, Yanan
    Xiong, Hao
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [3] Identification of a novel macrophage-related prognostic signature in colorectal cancer
    Lin, Dongfa
    Zheng, Tingjin
    Huang, Shangyuan
    Liu, Rui
    Guan, Shuwen
    Zhang, Zhishan
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [4] Identification of a novel macrophage-related prognostic signature in colorectal cancer
    Dongfa Lin
    Tingjin Zheng
    Shangyuan Huang
    Rui Liu
    Shuwen Guan
    Zhishan Zhang
    Scientific Reports, 14
  • [5] An IDO1-related immune gene signature predicts overall survival in acute myeloid leukemia
    Ragaini, Simone
    Wagner, Sarah
    Marconi, Giovanni
    Parisi, Sarah
    Sartor, Chiara
    Nanni, Jacopo
    Cristiano, Gianluca
    Talami, Annalisa
    Olivi, Matteo
    Ocadlikova, Darina
    Ciciarello, Marilena
    Corradi, Giulia
    Ottaviani, Emanuela
    Papayannidis, Cristina
    Paolini, Stefania
    Vadakekolathu, Jayakumar
    Cavo, Michele
    Rutella, Sergio
    Curti, Antonio
    BLOOD ADVANCES, 2022, 6 (01) : 87 - 99
  • [6] Identification of cellular senescence-related signature for predicting prognosis and therapeutic response of acute myeloid leukemia
    Zhong, Fangmin
    Yang, Yulin
    Yao, Fangyi
    Liu, Jing
    Yu, Xiajing
    Wang, Xin-Lu
    Huang, Bo
    Wang, Xiao-Zhong
    AGING-US, 2023, 15 (20): : 11217 - 11226
  • [7] A novel necroptosis-related gene signature in acute myeloid leukemia
    Fang, Weiyue
    Lin, Hongdou
    Chen, Junyi
    Guo, Wenjian
    HEMATOLOGY, 2023, 28 (01)
  • [8] A novel immune-related gene signature predicting survival in sarcoma
    Ren, Haoyu
    Bazhin, Alexandr
    Pretzsch, Elise
    Jacob, Sven
    Yu, Haochen
    Zhu, Jiang
    Albertsmeier, Markus
    Lindner, Lars
    Knoesel, Thomas
    Werner, Jens
    Angele, Martin
    Boesch, Florian
    ONCOLOGY RESEARCH AND TREATMENT, 2022, 45 (SUPPL 3) : 231 - 231
  • [9] Immune-related gene signature predicts clinical outcomes and immunotherapy response in acute myeloid leukemia
    Xu, Qiang
    Cao, Dedong
    Fang, Bin
    Yan, Siqi
    Hu, Yu
    Guo, Tao
    CANCER MEDICINE, 2022, 11 (17): : 3364 - 3380
  • [10] An inflammatory response-related gene signature associated with immune status and prognosis of acute myeloid leukemia
    Wu, Xin
    Li, Shiqin
    Chen, Dongjie
    Zheng, Guiping
    Zhang, Zhaohua
    Li, Zian
    Sun, Xiaoying
    Zhao, Qiangqiang
    Xu, Jingjuan
    AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH, 2022, 14 (07): : 4898 - +