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Analysis of the expression and potential molecular mechanism of interleukin-1 receptor antagonist (IL1RN) in papillary thyroid cancer via bioinformatics methods
BACKGROUND: Interleukin-1 receptor antagonist (IL1RN) has been reported as a biomarker of many cancers. However, the biological function of IL1RN in papillary thyroid carcinoma (PTC) remains undetermined. METHODS: We obtained IL1RN expression data from The Cancer Genome Atlas (TCGA) database. Enrich...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687764/ https://www.ncbi.nlm.nih.gov/pubmed/33238942 http://dx.doi.org/10.1186/s12885-020-07620-8 |
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author | Xie, Zhenyu Li, Xin He, Yuzhen Wu, Song Wang, Shiyue Sun, Jianjian He, Yuchen Lun, Yu Xin, Shijie Zhang, Jian |
author_facet | Xie, Zhenyu Li, Xin He, Yuzhen Wu, Song Wang, Shiyue Sun, Jianjian He, Yuchen Lun, Yu Xin, Shijie Zhang, Jian |
author_sort | Xie, Zhenyu |
collection | PubMed |
description | BACKGROUND: Interleukin-1 receptor antagonist (IL1RN) has been reported as a biomarker of many cancers. However, the biological function of IL1RN in papillary thyroid carcinoma (PTC) remains undetermined. METHODS: We obtained IL1RN expression data from The Cancer Genome Atlas (TCGA) database. Enrichment analysis of coexpressed genes and IL1RN methylation analysis were performed via LinkedOmics. The correlations between IL1RN and immune infiltrates were investigated via ESTIMATE, TIMER and TISIDB. We analyzed the association of IL1RN expression with pancancer overall survival (OS) via Gene Expression Profiling Interactive Analysis (GEPIA). RESULTS: IL1RN showed higher expression levels and lower methylation levels in PTC tissues than in normal tissues. Higher IL1RN expression was significantly associated with shorter progression-free survival (PFS), advanced tumor stage, tumor metastasis, increased incidence of BRAF mutations, and decreased incidence of N-RAS and H-RAS mutations. Genes coexpressed with IL1RN participate primarily in immune-related pathways. IL1RN expression positively correlated with immune infiltration, tumor progression and poor OS for all cancers. CONCLUSIONS: IL1RN is a good prognostic and diagnostic biomarker for PTC. IL1RN may promote thyroid cancer progression through immune-related pathways. Methylation may act as an upstream regulator of IL1RN expression and biological function. Additionally, IL1RN was shown to have broad prognostic value in a pancancer cohort. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-020-07620-8. |
format | Online Article Text |
id | pubmed-7687764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76877642020-11-30 Analysis of the expression and potential molecular mechanism of interleukin-1 receptor antagonist (IL1RN) in papillary thyroid cancer via bioinformatics methods Xie, Zhenyu Li, Xin He, Yuzhen Wu, Song Wang, Shiyue Sun, Jianjian He, Yuchen Lun, Yu Xin, Shijie Zhang, Jian BMC Cancer Research Article BACKGROUND: Interleukin-1 receptor antagonist (IL1RN) has been reported as a biomarker of many cancers. However, the biological function of IL1RN in papillary thyroid carcinoma (PTC) remains undetermined. METHODS: We obtained IL1RN expression data from The Cancer Genome Atlas (TCGA) database. Enrichment analysis of coexpressed genes and IL1RN methylation analysis were performed via LinkedOmics. The correlations between IL1RN and immune infiltrates were investigated via ESTIMATE, TIMER and TISIDB. We analyzed the association of IL1RN expression with pancancer overall survival (OS) via Gene Expression Profiling Interactive Analysis (GEPIA). RESULTS: IL1RN showed higher expression levels and lower methylation levels in PTC tissues than in normal tissues. Higher IL1RN expression was significantly associated with shorter progression-free survival (PFS), advanced tumor stage, tumor metastasis, increased incidence of BRAF mutations, and decreased incidence of N-RAS and H-RAS mutations. Genes coexpressed with IL1RN participate primarily in immune-related pathways. IL1RN expression positively correlated with immune infiltration, tumor progression and poor OS for all cancers. CONCLUSIONS: IL1RN is a good prognostic and diagnostic biomarker for PTC. IL1RN may promote thyroid cancer progression through immune-related pathways. Methylation may act as an upstream regulator of IL1RN expression and biological function. Additionally, IL1RN was shown to have broad prognostic value in a pancancer cohort. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-020-07620-8. BioMed Central 2020-11-25 /pmc/articles/PMC7687764/ /pubmed/33238942 http://dx.doi.org/10.1186/s12885-020-07620-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Xie, Zhenyu Li, Xin He, Yuzhen Wu, Song Wang, Shiyue Sun, Jianjian He, Yuchen Lun, Yu Xin, Shijie Zhang, Jian Analysis of the expression and potential molecular mechanism of interleukin-1 receptor antagonist (IL1RN) in papillary thyroid cancer via bioinformatics methods |
title | Analysis of the expression and potential molecular mechanism of interleukin-1 receptor antagonist (IL1RN) in papillary thyroid cancer via bioinformatics methods |
title_full | Analysis of the expression and potential molecular mechanism of interleukin-1 receptor antagonist (IL1RN) in papillary thyroid cancer via bioinformatics methods |
title_fullStr | Analysis of the expression and potential molecular mechanism of interleukin-1 receptor antagonist (IL1RN) in papillary thyroid cancer via bioinformatics methods |
title_full_unstemmed | Analysis of the expression and potential molecular mechanism of interleukin-1 receptor antagonist (IL1RN) in papillary thyroid cancer via bioinformatics methods |
title_short | Analysis of the expression and potential molecular mechanism of interleukin-1 receptor antagonist (IL1RN) in papillary thyroid cancer via bioinformatics methods |
title_sort | analysis of the expression and potential molecular mechanism of interleukin-1 receptor antagonist (il1rn) in papillary thyroid cancer via bioinformatics methods |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687764/ https://www.ncbi.nlm.nih.gov/pubmed/33238942 http://dx.doi.org/10.1186/s12885-020-07620-8 |
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