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Alteration of specific cytokine expression patterns in patients with breast cancer
Systemic inflammation has been associated with aggressive tumor growth, invasion, and metastasis. Here we performed a comprehensive analysis of 26 kinds of inflammatory cytokine expression patterns among 185 patients with breast cancer and 54 healthy volunteers followed by chemometric analysis. We i...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393524/ https://www.ncbi.nlm.nih.gov/pubmed/30814616 http://dx.doi.org/10.1038/s41598-019-39476-9 |
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author | Kawaguchi, Kosuke Sakurai, Masashi Yamamoto, Yasuko Suzuki, Eiji Tsuda, Moe Kataoka, Tatsuki R. Hirata, Masahiro Nishie, Mariko Nojiri, Takashi Kumazoe, Motofumi Saito, Kuniaki Toi, Masakazu |
author_facet | Kawaguchi, Kosuke Sakurai, Masashi Yamamoto, Yasuko Suzuki, Eiji Tsuda, Moe Kataoka, Tatsuki R. Hirata, Masahiro Nishie, Mariko Nojiri, Takashi Kumazoe, Motofumi Saito, Kuniaki Toi, Masakazu |
author_sort | Kawaguchi, Kosuke |
collection | PubMed |
description | Systemic inflammation has been associated with aggressive tumor growth, invasion, and metastasis. Here we performed a comprehensive analysis of 26 kinds of inflammatory cytokine expression patterns among 185 patients with breast cancer and 54 healthy volunteers followed by chemometric analysis. We identified the specific cytokine expression patterns of breast cancer patients compared to healthy volunteers with (1) VEGF, IL-9, GM-CSF, IL-13, IL-4, and IFNγ, (2) IL-8, IL-10, IL-12, IL-5, IL-7, IL-1α, GCSF, IL-1β, and TNFα and (3) IL-2, Eotaxin, MIP1β, MIP1α, IL-17, and bFGF. Among the patients with breast cancer, we identified the specific cytokine signature of metastatic patients compared to non-metastatic patients. We also established a mathematical model for distinguishing patients with breast cancer from healthy volunteers and metastatic patients from non-metastatic patients. This cytokine network analysis could provide new insights into early intervention and effective therapeutic strategy for patients with breast cancer. |
format | Online Article Text |
id | pubmed-6393524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63935242019-03-01 Alteration of specific cytokine expression patterns in patients with breast cancer Kawaguchi, Kosuke Sakurai, Masashi Yamamoto, Yasuko Suzuki, Eiji Tsuda, Moe Kataoka, Tatsuki R. Hirata, Masahiro Nishie, Mariko Nojiri, Takashi Kumazoe, Motofumi Saito, Kuniaki Toi, Masakazu Sci Rep Article Systemic inflammation has been associated with aggressive tumor growth, invasion, and metastasis. Here we performed a comprehensive analysis of 26 kinds of inflammatory cytokine expression patterns among 185 patients with breast cancer and 54 healthy volunteers followed by chemometric analysis. We identified the specific cytokine expression patterns of breast cancer patients compared to healthy volunteers with (1) VEGF, IL-9, GM-CSF, IL-13, IL-4, and IFNγ, (2) IL-8, IL-10, IL-12, IL-5, IL-7, IL-1α, GCSF, IL-1β, and TNFα and (3) IL-2, Eotaxin, MIP1β, MIP1α, IL-17, and bFGF. Among the patients with breast cancer, we identified the specific cytokine signature of metastatic patients compared to non-metastatic patients. We also established a mathematical model for distinguishing patients with breast cancer from healthy volunteers and metastatic patients from non-metastatic patients. This cytokine network analysis could provide new insights into early intervention and effective therapeutic strategy for patients with breast cancer. Nature Publishing Group UK 2019-02-27 /pmc/articles/PMC6393524/ /pubmed/30814616 http://dx.doi.org/10.1038/s41598-019-39476-9 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kawaguchi, Kosuke Sakurai, Masashi Yamamoto, Yasuko Suzuki, Eiji Tsuda, Moe Kataoka, Tatsuki R. Hirata, Masahiro Nishie, Mariko Nojiri, Takashi Kumazoe, Motofumi Saito, Kuniaki Toi, Masakazu Alteration of specific cytokine expression patterns in patients with breast cancer |
title | Alteration of specific cytokine expression patterns in patients with breast cancer |
title_full | Alteration of specific cytokine expression patterns in patients with breast cancer |
title_fullStr | Alteration of specific cytokine expression patterns in patients with breast cancer |
title_full_unstemmed | Alteration of specific cytokine expression patterns in patients with breast cancer |
title_short | Alteration of specific cytokine expression patterns in patients with breast cancer |
title_sort | alteration of specific cytokine expression patterns in patients with breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393524/ https://www.ncbi.nlm.nih.gov/pubmed/30814616 http://dx.doi.org/10.1038/s41598-019-39476-9 |
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