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Integrated Expression Profiles Analysis Reveals Correlations Between the IL-33/ST2 Axis and CD8(+) T Cells, Regulatory T Cells, and Myeloid-Derived Suppressor Cells in Soft Tissue Sarcoma

Soft tissue sarcoma (STS) is a rare solid malignant cancer, and there are few effective treatment options for advanced disease. Cancer immunotherapy is a promising new strategy for STS treatment. IL-33 is a candidate cytokine for immunotherapy that can activate T lymphocytes and modulate antitumor i...

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Autores principales: Chen, Huoying, Chen, Yao, Liu, Hongbo, Que, Yi, Zhang, Xing, Zheng, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5986931/
https://www.ncbi.nlm.nih.gov/pubmed/29896199
http://dx.doi.org/10.3389/fimmu.2018.01179
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author Chen, Huoying
Chen, Yao
Liu, Hongbo
Que, Yi
Zhang, Xing
Zheng, Fang
author_facet Chen, Huoying
Chen, Yao
Liu, Hongbo
Que, Yi
Zhang, Xing
Zheng, Fang
author_sort Chen, Huoying
collection PubMed
description Soft tissue sarcoma (STS) is a rare solid malignant cancer, and there are few effective treatment options for advanced disease. Cancer immunotherapy is a promising new strategy for STS treatment. IL-33 is a candidate cytokine for immunotherapy that can activate T lymphocytes and modulate antitumor immunity in some cancers. However, the expression and biological role of IL-33 in STS are poorly understood. In this study, we found that the expression of IL-33 and its receptor ST2 was decreased in STS using real-time PCR assays. By analyzing sarcoma data from The Cancer Genome Atlas, we found that higher transcriptional levels of IL-33 and ST2 were associated with a favorable outcome. There were positive correlations between the expression levels of ST2 and CD3E, CD4, CD8A, CD45RO, FOXP3, CD11B, CD33, and IFN-γ. Strong positive correlations between the expression of IFN-γ and CD3E and CD8A were also observed. Moreover, the expression levels of both IL-33 and ST2 were positively correlated with those of CD3E, CD8A, and chemokines that recruit CD8(+) T cells, indicating that the IL-33/ST2 axis may play an important role in recruiting and promoting the immune response of type 1-polarized CD8(+) T cells in STS. Meanwhile, we also found that the expression of IL-33 was negatively correlated with that of TGF-β1 and chemokines that recruit regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs), indicating that the IL-33/ST2 axis may also contribute to antagonizing Tregs, MDSCs, and TGF-β1-mediated immunosuppression in STS. The correlations between the IL-33/ST2 axis and CD8(+) T cells and IFN-γ, as well as Tregs, MDSCs, and TGF-β1 were validated by additional analyses using three other independent GEO datasets of sarcoma. Our results implicate the possible role of the IL-33/ST2 axis in modulating antitumor immunity in STS. IL-33 may not only serve as a useful prognostic biomarker for STS but also as a potential therapeutic target for STS immunotherapy and worth further investigation.
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spelling pubmed-59869312018-06-12 Integrated Expression Profiles Analysis Reveals Correlations Between the IL-33/ST2 Axis and CD8(+) T Cells, Regulatory T Cells, and Myeloid-Derived Suppressor Cells in Soft Tissue Sarcoma Chen, Huoying Chen, Yao Liu, Hongbo Que, Yi Zhang, Xing Zheng, Fang Front Immunol Immunology Soft tissue sarcoma (STS) is a rare solid malignant cancer, and there are few effective treatment options for advanced disease. Cancer immunotherapy is a promising new strategy for STS treatment. IL-33 is a candidate cytokine for immunotherapy that can activate T lymphocytes and modulate antitumor immunity in some cancers. However, the expression and biological role of IL-33 in STS are poorly understood. In this study, we found that the expression of IL-33 and its receptor ST2 was decreased in STS using real-time PCR assays. By analyzing sarcoma data from The Cancer Genome Atlas, we found that higher transcriptional levels of IL-33 and ST2 were associated with a favorable outcome. There were positive correlations between the expression levels of ST2 and CD3E, CD4, CD8A, CD45RO, FOXP3, CD11B, CD33, and IFN-γ. Strong positive correlations between the expression of IFN-γ and CD3E and CD8A were also observed. Moreover, the expression levels of both IL-33 and ST2 were positively correlated with those of CD3E, CD8A, and chemokines that recruit CD8(+) T cells, indicating that the IL-33/ST2 axis may play an important role in recruiting and promoting the immune response of type 1-polarized CD8(+) T cells in STS. Meanwhile, we also found that the expression of IL-33 was negatively correlated with that of TGF-β1 and chemokines that recruit regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs), indicating that the IL-33/ST2 axis may also contribute to antagonizing Tregs, MDSCs, and TGF-β1-mediated immunosuppression in STS. The correlations between the IL-33/ST2 axis and CD8(+) T cells and IFN-γ, as well as Tregs, MDSCs, and TGF-β1 were validated by additional analyses using three other independent GEO datasets of sarcoma. Our results implicate the possible role of the IL-33/ST2 axis in modulating antitumor immunity in STS. IL-33 may not only serve as a useful prognostic biomarker for STS but also as a potential therapeutic target for STS immunotherapy and worth further investigation. Frontiers Media S.A. 2018-05-29 /pmc/articles/PMC5986931/ /pubmed/29896199 http://dx.doi.org/10.3389/fimmu.2018.01179 Text en Copyright © 2018 Chen, Chen, Liu, Que, Zhang and Zheng. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Chen, Huoying
Chen, Yao
Liu, Hongbo
Que, Yi
Zhang, Xing
Zheng, Fang
Integrated Expression Profiles Analysis Reveals Correlations Between the IL-33/ST2 Axis and CD8(+) T Cells, Regulatory T Cells, and Myeloid-Derived Suppressor Cells in Soft Tissue Sarcoma
title Integrated Expression Profiles Analysis Reveals Correlations Between the IL-33/ST2 Axis and CD8(+) T Cells, Regulatory T Cells, and Myeloid-Derived Suppressor Cells in Soft Tissue Sarcoma
title_full Integrated Expression Profiles Analysis Reveals Correlations Between the IL-33/ST2 Axis and CD8(+) T Cells, Regulatory T Cells, and Myeloid-Derived Suppressor Cells in Soft Tissue Sarcoma
title_fullStr Integrated Expression Profiles Analysis Reveals Correlations Between the IL-33/ST2 Axis and CD8(+) T Cells, Regulatory T Cells, and Myeloid-Derived Suppressor Cells in Soft Tissue Sarcoma
title_full_unstemmed Integrated Expression Profiles Analysis Reveals Correlations Between the IL-33/ST2 Axis and CD8(+) T Cells, Regulatory T Cells, and Myeloid-Derived Suppressor Cells in Soft Tissue Sarcoma
title_short Integrated Expression Profiles Analysis Reveals Correlations Between the IL-33/ST2 Axis and CD8(+) T Cells, Regulatory T Cells, and Myeloid-Derived Suppressor Cells in Soft Tissue Sarcoma
title_sort integrated expression profiles analysis reveals correlations between the il-33/st2 axis and cd8(+) t cells, regulatory t cells, and myeloid-derived suppressor cells in soft tissue sarcoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5986931/
https://www.ncbi.nlm.nih.gov/pubmed/29896199
http://dx.doi.org/10.3389/fimmu.2018.01179
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