Prognostic implications and functional enrichment analysis of LTB4R in patients with acute myeloid leukemia.
10.12122/j.issn.1673-4254.2022.03.01
- Author:
Xiao Ning ZHANG
1
;
Xiao Yu ZHANG
2
;
Peng LIU
1
;
Kuo LIU
1
;
Wen Wen LI
1
;
Qian Qian CHEN
1
;
Wan Shan MA
1
Author Information
1. Department of Clinical Laboratory Medicine, First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan 250014, China.
2. Department of Nephrology, Fifth People's Hospital of Jinan, Jinan 250022, China.
- Publication Type:Journal Article
- Keywords:
acute myeloid leukemia;
bioinformatics;
functional enrichment;
immune infiltration.;
leukotriene B4 receptor;
prognosis
- MeSH:
Humans;
Leukemia, Myeloid, Acute/metabolism*;
Leukocytes, Mononuclear/metabolism*;
Prognosis;
RNA, Messenger/metabolism*;
Receptors, Leukotriene B4/genetics*
- From:
Journal of Southern Medical University
2022;42(3):309-320
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To explore the expression patterns, prognostic implications, and biological role of leukotriene B4 receptor (LTB4R) in patients with acute myeloid leukemia (AML).
METHODS:We collected the data of mRNA expression levels and clinical information of patients with AML from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database for mRNA expression analyses, survival analyses, Cox regression analyses and correlation analyses using R studio to assess the expression patterns and prognostic value of LTB4R. The correlation of LTB4R expression levels with clinical characteristics of the patients were analyzed using UALCAN. The co-expressed genes LTB4R were screened from Linkedomics and subjected to functional enrichment analysis. A protein-protein interaction network was constructed using STRING. GSEA analyses of the differentially expressed genes (DEGs) were performed based on datasets from TCGA-LAML stratified by LTB4R expression level. We also collected peripheral blood mononuclear cells (PBMCs) from AML patients and healthy donors for examination of the mRNA expression levels of LTB4R and immune checkpoint genes using qRT-PCR. We also examined serum LTB4R protein levels in the patients using ELISA.
RESULTS:The mRNA expression level of LTB4R was significantly increased in AML patients (4.898±1.220 vs 2.252±0.215, P < 0.001), and an elevated LTB4R expression level was correlated with a poor overall survival (OS) of the patients (P=0.004, HR=1.74). LTB4R was identified as an independent prognostic factor for OS (P=0.019, HR=1.66) and was associated with FAB subtypes, cytogenetic risk, karyotype abnormalities and NPM1 mutations. The co- expressed genes of LTB4R were enriched in the functional pathways closely associated with AML leukemogenesis, including neutrophil inflammation, lymphocyte activation, signal transduction, and metabolism. The DEGs were enriched in differentiation, activation of immune cells, and cytokine signaling. Examination of the clinical serum samples also demonstrated significantly increased expressions of LTB4R mRNA (P=0.044) and protein (P=0.008) in AML patients, and LTB4R mRNA expression was positively correlated with the expression of the immune checkpoint HAVCR2 (r= 0.466, P=0.040).
CONCLUSION:LTB4R can serve as a novel biomarker and independent prognostic indicator of AML and its expression patterns provide insights into the crosstalk of leukemogenesis signaling pathways involving tumor immunity and metabolism.
