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

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...

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Bibliographic Details
Published in:Scientific reports 2024-06, Vol.14 (1), p.14012-14
Main Authors: Zhan, Yun, Ma, Sixing, Zhang, Tianzhuo, Zhang, Luxin, Zhao, Peng, Yang, Xueying, Liu, Min, Cheng, Weiwei, Li, Ya, Wang, Jishi
Format: Article
Language:English
Subjects:
631/67/1857
631/67/68
Acute myeloid leukemia
AML
Biomarkers
Biomarkers, Tumor - genetics
CD4 antigen
CTLA-4 protein
Female
Gene Expression Profiling
Gene Expression Regulation, Leukemic
Humanities and Social Sciences
Humans
Immune checkpoint
Immune response
Immunology
Immunosuppressive agents
Immunotherapy
Immunotherapy - methods
Leukemia
Leukemia, Myeloid, Acute - genetics
Leukemia, Myeloid, Acute - immunology
Leukemia, Myeloid, Acute - mortality
Lymphocytes B
Macrophages
Macrophages - immunology
Macrophages - metabolism
Male
Mast cells
Memory cells
Middle Aged
Monocyte/macrophage
Monocytes
Monocytes - immunology
Monocytes - metabolism
multidisciplinary
PD-1 protein
Plasma cells
Prognosis
Regression analysis
Science
Science (multidisciplinary)
Sensitivity analysis
Transcriptome
Tumor immune microenvironment
Tumors
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Summary: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 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-64567-7