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The tumor and plasma cytokine profiles of renal cell carcinoma patients
Renal cell carcinoma (RCC) accounts for 90% of all renal cancers and is considered highly immunogenic. Although many studies have reported the circulating peripheral cytokine profiles, the signatures between the tumor tissue and matching healthy adjacent renal tissue counterparts have not been explo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352752/ https://www.ncbi.nlm.nih.gov/pubmed/35927313 http://dx.doi.org/10.1038/s41598-022-17592-3 |
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author | Lee, Moon Hee Laajala, Essi Kreutzman, Anna Järvinen, Petrus Nísen, Harry Mirtti, Tuomas Hollmén, Maija Mustjoki, Satu |
author_facet | Lee, Moon Hee Laajala, Essi Kreutzman, Anna Järvinen, Petrus Nísen, Harry Mirtti, Tuomas Hollmén, Maija Mustjoki, Satu |
author_sort | Lee, Moon Hee |
collection | PubMed |
description | Renal cell carcinoma (RCC) accounts for 90% of all renal cancers and is considered highly immunogenic. Although many studies have reported the circulating peripheral cytokine profiles, the signatures between the tumor tissue and matching healthy adjacent renal tissue counterparts have not been explored. We aimed to comprehensively investigate the cytokine landscape of RCC tumors and its correlation between the amount and phenotype of the tumor infiltrating lymphocytes (TILs). We analyzed the secretion of 42 cytokines from the tumor (n = 46), adjacent healthy kidney tissues (n = 23) and matching plasma samples (n = 33) with a Luminex-based assay. We further explored the differences between the tissue types, as well as correlated the findings with clinical data and detailed immunophenotyping of the TILs. Using an unsupervised clustering approach, we observed distinct differences in the cytokine profiles between the tumor and adjacent renal tissue samples. The tumor samples clustered into three distinct profiles based on the cytokine expressions: high (52.2% of the tumors), intermediate (26.1%), and low (21.7%). Most of the tumor cytokines positively correlated with each other, except for IL-8 that showed no correlation with any of the measured cytokine expressions. Furthermore, the quantity of lymphocytes in the tumor samples analyzed with flow cytometry positively correlated with the chemokine-family of cytokines, CXCL10 (IP-10) and CXCL9 (MIG). No significant correlations were found between the tumor and matching plasma cytokines, suggesting that circulating cytokines poorly mirror the tumor cytokine environment. Our study highlights distinct cytokine profiles in the RCC tumor microenvironment and provides insights to potential biomarkers for the treatment of RCC. |
format | Online Article Text |
id | pubmed-9352752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93527522022-08-06 The tumor and plasma cytokine profiles of renal cell carcinoma patients Lee, Moon Hee Laajala, Essi Kreutzman, Anna Järvinen, Petrus Nísen, Harry Mirtti, Tuomas Hollmén, Maija Mustjoki, Satu Sci Rep Article Renal cell carcinoma (RCC) accounts for 90% of all renal cancers and is considered highly immunogenic. Although many studies have reported the circulating peripheral cytokine profiles, the signatures between the tumor tissue and matching healthy adjacent renal tissue counterparts have not been explored. We aimed to comprehensively investigate the cytokine landscape of RCC tumors and its correlation between the amount and phenotype of the tumor infiltrating lymphocytes (TILs). We analyzed the secretion of 42 cytokines from the tumor (n = 46), adjacent healthy kidney tissues (n = 23) and matching plasma samples (n = 33) with a Luminex-based assay. We further explored the differences between the tissue types, as well as correlated the findings with clinical data and detailed immunophenotyping of the TILs. Using an unsupervised clustering approach, we observed distinct differences in the cytokine profiles between the tumor and adjacent renal tissue samples. The tumor samples clustered into three distinct profiles based on the cytokine expressions: high (52.2% of the tumors), intermediate (26.1%), and low (21.7%). Most of the tumor cytokines positively correlated with each other, except for IL-8 that showed no correlation with any of the measured cytokine expressions. Furthermore, the quantity of lymphocytes in the tumor samples analyzed with flow cytometry positively correlated with the chemokine-family of cytokines, CXCL10 (IP-10) and CXCL9 (MIG). No significant correlations were found between the tumor and matching plasma cytokines, suggesting that circulating cytokines poorly mirror the tumor cytokine environment. Our study highlights distinct cytokine profiles in the RCC tumor microenvironment and provides insights to potential biomarkers for the treatment of RCC. Nature Publishing Group UK 2022-08-04 /pmc/articles/PMC9352752/ /pubmed/35927313 http://dx.doi.org/10.1038/s41598-022-17592-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lee, Moon Hee Laajala, Essi Kreutzman, Anna Järvinen, Petrus Nísen, Harry Mirtti, Tuomas Hollmén, Maija Mustjoki, Satu The tumor and plasma cytokine profiles of renal cell carcinoma patients |
title | The tumor and plasma cytokine profiles of renal cell carcinoma patients |
title_full | The tumor and plasma cytokine profiles of renal cell carcinoma patients |
title_fullStr | The tumor and plasma cytokine profiles of renal cell carcinoma patients |
title_full_unstemmed | The tumor and plasma cytokine profiles of renal cell carcinoma patients |
title_short | The tumor and plasma cytokine profiles of renal cell carcinoma patients |
title_sort | tumor and plasma cytokine profiles of renal cell carcinoma patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352752/ https://www.ncbi.nlm.nih.gov/pubmed/35927313 http://dx.doi.org/10.1038/s41598-022-17592-3 |
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