Title:IL1R2 is a Novel Prognostic Biomarker for Lung Adenocarcinoma
Volume: 24
Issue: 5
Author(s): Ying Zhang*, Danyu Ma, Yile Gong, Fan Wang, Jingping Wu and Chen Wu*
Affiliation:
- Departments of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu,
213003, P.R. China
- Departments of Oncology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, 214000, P.R. China
- Departments of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu,
213003, P.R. China
- Department of General Internal Medicine, People’s hospital of Ziyang, Ankang, Shanxi,
725399, P.R. China
Keywords:
IL1R2, lung adenocarcinoma, prognosis, immune infiltration, bioinformatics analysis, biomarker.
Abstract:
Aims: The aim of this study is to figure out the role of IL1R2 in LUAD (lung
adenocarcinoma).
Background: IL1R2, a special member of IL-1 receptor family, binds to IL-1 and plays
an important role in inhibiting IL-1 pathway, which seems to be involved in
tumorigenesis. Emerging studies demonstrated higher IL1R2 expression levels in
several malignancies.
Objective: In the present study, we assessed the expression of IL1R2 in LUAD tissues
with immunohistochemistry and explored various databases to determine whether it
could be a potential prognostic biomarker and therapeutic target.
Methods: The expression level of IL1R2 in lung adenocarcinoma was analyzed by
Immunohistochemistry and UALCAN database. The correlation between IL1R2
expression and the patient prognosis was identified by Kaplan-Meier plotter. The
correlation of IL1R2 expression with immune infiltrates was clarified by TIMER database.
The protein-protein interaction network and gene functional enrichment analysis were
constructed and performed by STRING and Metascape database.
Results: Immunohistochemistry showed that the expression of IL1R2 was higher in
tumor tissues of LUAD patients and that patients with lower IL1R2 level have a better
prognosis than their counterparts. We validated our findings in several online databases
and found that IL1R2 gene was also positively correlated with B cells and neutrophils
and biomarkers of CD8+T cells and exhausted T cells. PPI network and gene enrichment
analyses showed that expression of IL1R2 was also associated with complex functionspecific
networks involving IL-1 signal, NF-KappaB transcription factors.
Conclusion: According to these findings, we demonstrated that IL1R2 was involved in
the progression and prognosis of LUAD and the underlying mechanism needs further
investigation.