4.4 Article

An inflammatory response-related gene signature associated with immune status and prognosis of acute myeloid leukemia

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E-CENTURY PUBLISHING CORP
DOI: 10.2358/am.j.res.8748

关键词

Acute myeloid leukemia; inflammatory response; prognostic gene signature; immune status; tumor overall

资金

  1. Fundamental Research Funds for the Central Universities of Central South University [2020zzts896]
  2. guiding project of Qinghai Provincial Health and Family Planning Commission [2018-wjzdx17]
  3. Project of Kunlun Elite, High-End Innovation and Entrepreneurship Talents of Qinghai Province [13]

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A potential inflammatory response-related signature consisting of 11 differentially expressed genes was identified in this study, which was associated with prognosis and immune status in AML patients. Moreover, the expression levels of this signature were also found to be associated with susceptibility to chemotherapy in AML patients.
Objective: To determine the prognostic significance of inflammatory response-associated genes in acute myeloid leukemia (AML). Methods: Transcriptomic profiles and related clinical information of AML patients were acquired from a public database. To establish a multi-gene prognosis signature, we performed least absolute shrinkage and selection operator Cox analysis for the TCGA cohort and evaluated the ICGC cohort for verification. Subsequently, Kaplan-Meier analysis was carried out to compare the overall survival (OS) rates between high- and low-risk groups. Biological function and single-sample gene set enrichment (ssGSEA) analyses were employed to investigate the association of risk score with immune status and the tumor microenvironment. Prognostic gene expression levels in AML samples and normal controls were confirmed by qRT-PCR and immunofluorescence. Results: We identified a potential inflammatory response-related signature comprising 11 differentially expressed genes, including ACVR2A, CCL22, EBI3, EDN1, FFAR2, HRH1, ICOSLG, IL-10, INHBA, ITGB3, and LAMP3, and found that AML patients with high expression levels in the high-risk group had poor OS rates. Biological function analyses revealed that prognostic genes mainly participated in inflammation and immunity signaling pathways. Analyses of cancer-infiltrating immunocytes indicated that in high-risk patients, the immune suppressive microenvironment was significantly affected. The expression of the inflammation reaction-associated signature was found to be associated with susceptibility to chemotherapy. There was a significant difference in prognostic gene expression between AML and control tissues. Conclusion: A novel inflammatory response-related signature was developed with 11 candidate genes to predict prognosis and immune status in AML patients.

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