ArticleCancer immunology, immunotherapy : CII2019
Identification of prognostic genes in the acute myeloid leukemia immune microenvironment based on TCGA data analysis.
Article in Cancer immunology, immunotherapy : CII, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.
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Who cites it
83 citing papers in PubMed, 138 citations in OpenAlex.
- Identification of Prognostic-Related Genes in Acute Myeloid Leukemia: A Study Based on TCGA Data Analysis.Biochemical genetics · 2026Article
- Bioinformatics analysis and preliminary clinical validation of ITGA9 and NPTX2 as prognosis-related genes in acute myeloid leukemia.Discover oncology · 2026Article
- VSIG2 is associated with an immune-cold microenvironment and reduced response to PD-1 blockade in bladder cancer.Frontiers in cellular and infection microbiology · 2026Article
- VSIG2 as a novel immunosuppressive ligand interacts with Nectin-2 to regulate T cell responses.Journal of neuroinflammation · 2025Article
- VSIG2 hinders gastric cancer progression by suppressing ANXA2-mediated NF-κB pathway activation.Acta biochimica et biophysica Sinica · 2025Article
- Glycosylated protein-related microenvironmental features in breast cancer are associated with patient prognosis.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Constructing a tumor immune microenvironment-driven prognostic model in acute myeloid leukemia using bioinformatics and validation data.Scientific reports · 2025Article
- Identification of Prognostic Genes in Acute Myeloid Leukemia Microenvironment: A Bioinformatic and Experimental Analysis.Molecular biotechnology · 2025Article
- Establishment and application of an intelligent management platform for home medication for children with leukemia.PloS one · 2025Article
- Targeting protein tyrosine phosphatase non-receptor type 6 (PTPN6) as a therapeutic strategy in acute myeloid leukemia.Cell biology and toxicology · 2024Article
- SLC8A1, a novel prognostic biomarker and immunotherapy target in RSA and UCEC based on scRNA-seq and pan-cancer analysis.Heliyon · 2024Article
- High temporal resolution prediction of mortality risk for single AML patient via deep learning.iScience · 2024Article
- ITGAM sustains MAPK signaling and serves as an adverse prognostic factor and therapeutic target in acute myeloid leukemia.Translational cancer research · 2024Article
- Comprehensive characterization of immunogenic cell death in acute myeloid leukemia revealing the association with prognosis and tumor immune microenvironment.BMC medical genomics · 2024Article
- The KIR2DL family serves as prognostic biomarkers and correlates with immune infiltrates in acute myeloid leukaemia.Journal of cellular and molecular medicine · 2024Article
- Expression of programmed death receptor-1 ligand (PD-L1) in human cancer is of prognostic value and associated with macrophage infiltration.Journal of Cancer · 2024Article
- Use of extracellular vesicle microRNA profiles in patients with acute myeloid leukemia for the identification of novel biomarkers.PloS one · 2024Article
- Immune-based subgroups uncover diverse tumor immunogenicity and implications for prognosis and precision therapy in acute myeloid leukemia.Frontiers in immunology · 2024Article
- Large-scale genome-wide association studies reveal the genetic causal etiology between ankylosing spondylitis and risk of leukemia and lymphocytic malignancies.Frontiers in oncology · 2024Article
- Transcriptomic analysis identifies CYP27A1 as a diagnostic marker for the prognosis and immunity in lung adenocarcinoma.BMC immunology · 2023Article
23 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Acute myeloid leukemia (AML) is a common and lethal hematopoietic malignancy that is highly dependent on the bone marrow (BM) microenvironment. Infiltrating immune and stromal cells are important components of the BM microenvironment and significantly influence the progression of AML. This study aimed to elucidate the value of immune/stromal cell-associated genes for AML prognosis by integrated bioinformatics analysis. We obtained expression profiles from The Cancer Genome Atlas (TCGA) database and used the ESTIMATE algorithm to calculate immune scores and stromal scores; we then identified differentially expressed genes (DEGs) based on these scores. Overall survival analysis was applied to reveal common DEGs of prognostic value. Subsequently, we conducted a functional enrichment analysis, generated a protein-protein interaction (PPI) network and performed an interrelation analysis of immune system processes, showing that these genes are mainly associated with the immune/inflammatory response. Finally, eight genes (CD163, CYP27A1, KCNA5, PPM1J, FOLR1, IL1R2, MYOF, VSIG2) were verified to be significantly associated with AML prognosis in the Gene Expression Omnibus (GEO) database. In summary, we identified key microenvironment-related genes that affect the outcomes of AML patients and might serve as therapeutic targets.
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