Journal of Capital Medical University ›› 2021, Vol. 42 ›› Issue (2): 243-250.doi: 10.3969/j.issn.1006-7795.2021.02.014

• Basic Research • Previous Articles     Next Articles

Bioinformatic analysis of the influence of IL-33 on IFN-γ expression in tumor microenvironment

Han Hongju, Su Ziyang, Zhou Yujie, Wang Xi*   

  1. Department of Immunology, School of Basic Medical Sciences, Capital Medical University,Beijing 100069,China
  • Received:2020-12-16 Published:2021-04-26
  • Contact: *E-mail:xiwang@ccmu.edu.cn
  • Supported by:
    This study was supported by National Natural Science Foundation of China (81972652).

Abstract: Objective To analyze the impact of interleukin-33 (IL-33) on tumor microenvironment by bioinformatic methods. To find the mechanism by which IL-33 upregulates interferon-gamma (IFN-γ) expression.Methods We analyzed the impact of IL-33 expression on patients' survival time by the Kaplan Meier Online analyzing tool. Data were downloaded from gene expression omnibus (GEO), which were subject to a gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. We found the function and signal pathway of genes influenced by IL-33 and downloaded data from Clinical Proteomic Tumor Analysis Consortium (CPTAC) from which we extracted the expression of IL-33 and AU-rich element binding factor 1 (AUF1) and analyzed the correlation between IL-33 and AUF1. Results Kaplan Meier Online analysis results showed that patients who expressed IL-33 at high level had a better prognosis. In the St2 (the receptor of IL-33) knockout mouse colon carcinoma model, the expression of IFN-γ significantly decreased. The genes influenced by IL-33 were mainly annotated by genes respond to interferon-gamma, genes of cellular response to interferon-gamma, genes responding to virus, genes regulating response to biotic stimulus. The data from CPTAC revealed that the expression of IL-33 and AUF1 had a significant negative correlation. Conclusion IL-33 can upregulate the expression of IFN-γ of immune cells in tumor microenvironment. IL-33 could downregulate the expression of AUF1, which belongs to AUF1- and signal transduction-regulated complex (ASTRC). AUF1 attacked mRNA whose 3'UTR have an AU-rich element (ARE). IL-33 could protect IFN-γ mRNA by downregulating AUF1.

Key words: interleukin-33, computational biology, immunotherapy, transcriptome, proteome

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