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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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