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Macrophage Phenotype in Combination with Tumor Microbiome Composition Predicts RCC Patients’ Survival: A Pilot Study
The identification of new prognostic markers of renal cell carcinoma (RCC) is an urgent problem in oncourology. To investigate the potential prognostic significance of tumor microbiome and stromal inflammatory markers, we studied a cohort of 66 patients with RCC (23 clear cell RCC, 19 papillary RCC...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312790/ https://www.ncbi.nlm.nih.gov/pubmed/35884821 http://dx.doi.org/10.3390/biomedicines10071516 |
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author | Kovaleva, Olga V. Podlesnaya, Polina Sorokin, Maxim Mochalnikova, Valeria Kataev, Vladimir Khlopko, Yuriy A. Plotnikov, Andrey O. Stilidi, Ivan S. Kushlinskii, Nikolay E. Gratchev, Alexei |
author_facet | Kovaleva, Olga V. Podlesnaya, Polina Sorokin, Maxim Mochalnikova, Valeria Kataev, Vladimir Khlopko, Yuriy A. Plotnikov, Andrey O. Stilidi, Ivan S. Kushlinskii, Nikolay E. Gratchev, Alexei |
author_sort | Kovaleva, Olga V. |
collection | PubMed |
description | The identification of new prognostic markers of renal cell carcinoma (RCC) is an urgent problem in oncourology. To investigate the potential prognostic significance of tumor microbiome and stromal inflammatory markers, we studied a cohort of 66 patients with RCC (23 clear cell RCC, 19 papillary RCC and 24 chromophobe RCC). The microbiome was analyzed in tumor and normal tissue by 16S rRNA amplicon sequencing. Characterization of the tumor stroma was performed using immunohistochemistry. A significant difference in alpha diversity was demonstrated between normal kidney tissue and all types of RCC. Further, we demonstrated that the bacterial burden was higher in adjacent normal tissue than in a tumor. For the first time, we demonstrated a significant correlation between bacterial burden and the content of PU.1+ macrophages and CD66b+ neutrophils in kidney tumors. Tumors with high content of PU.1+ cells and CD66b+ cells in the stroma were characterized by a lower bacterial burden. In the tumors with high bacterial burden, the number of PU.1+ cells and CD66b+ was associated with a poor prognosis. The identified associations indicate the great prognostic potential of a combined tumor microbiome and stromal cell analysis. |
format | Online Article Text |
id | pubmed-9312790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93127902022-07-26 Macrophage Phenotype in Combination with Tumor Microbiome Composition Predicts RCC Patients’ Survival: A Pilot Study Kovaleva, Olga V. Podlesnaya, Polina Sorokin, Maxim Mochalnikova, Valeria Kataev, Vladimir Khlopko, Yuriy A. Plotnikov, Andrey O. Stilidi, Ivan S. Kushlinskii, Nikolay E. Gratchev, Alexei Biomedicines Article The identification of new prognostic markers of renal cell carcinoma (RCC) is an urgent problem in oncourology. To investigate the potential prognostic significance of tumor microbiome and stromal inflammatory markers, we studied a cohort of 66 patients with RCC (23 clear cell RCC, 19 papillary RCC and 24 chromophobe RCC). The microbiome was analyzed in tumor and normal tissue by 16S rRNA amplicon sequencing. Characterization of the tumor stroma was performed using immunohistochemistry. A significant difference in alpha diversity was demonstrated between normal kidney tissue and all types of RCC. Further, we demonstrated that the bacterial burden was higher in adjacent normal tissue than in a tumor. For the first time, we demonstrated a significant correlation between bacterial burden and the content of PU.1+ macrophages and CD66b+ neutrophils in kidney tumors. Tumors with high content of PU.1+ cells and CD66b+ cells in the stroma were characterized by a lower bacterial burden. In the tumors with high bacterial burden, the number of PU.1+ cells and CD66b+ was associated with a poor prognosis. The identified associations indicate the great prognostic potential of a combined tumor microbiome and stromal cell analysis. MDPI 2022-06-27 /pmc/articles/PMC9312790/ /pubmed/35884821 http://dx.doi.org/10.3390/biomedicines10071516 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kovaleva, Olga V. Podlesnaya, Polina Sorokin, Maxim Mochalnikova, Valeria Kataev, Vladimir Khlopko, Yuriy A. Plotnikov, Andrey O. Stilidi, Ivan S. Kushlinskii, Nikolay E. Gratchev, Alexei Macrophage Phenotype in Combination with Tumor Microbiome Composition Predicts RCC Patients’ Survival: A Pilot Study |
title | Macrophage Phenotype in Combination with Tumor Microbiome Composition Predicts RCC Patients’ Survival: A Pilot Study |
title_full | Macrophage Phenotype in Combination with Tumor Microbiome Composition Predicts RCC Patients’ Survival: A Pilot Study |
title_fullStr | Macrophage Phenotype in Combination with Tumor Microbiome Composition Predicts RCC Patients’ Survival: A Pilot Study |
title_full_unstemmed | Macrophage Phenotype in Combination with Tumor Microbiome Composition Predicts RCC Patients’ Survival: A Pilot Study |
title_short | Macrophage Phenotype in Combination with Tumor Microbiome Composition Predicts RCC Patients’ Survival: A Pilot Study |
title_sort | macrophage phenotype in combination with tumor microbiome composition predicts rcc patients’ survival: a pilot study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312790/ https://www.ncbi.nlm.nih.gov/pubmed/35884821 http://dx.doi.org/10.3390/biomedicines10071516 |
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