An Inflammatory Response-related Gene Signature Associated with Immune Status and Prognosis of Acute Myeloid Leukemia

Overview

Journal Am J Transl Res

Specialty General Medicine

Date 2022 Aug 12

PMID 35958446

Authors

Xin Wu

Shiqin Li

Dongjie Chen

Guiping Zheng

Zhaohua Zhang

Zian Li

Xiaoying Sun

Qiangqiang Zhao

Jingjuan Xu

Affiliations

Soon will be listed here.

Abstract

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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