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Lung Microbiome Differentially Impacts Survival of Patients with Non-Small Cell Lung Cancer Depending on Tumor Stroma Phenotype

The link between a lung tumor and the lung microbiome is a largely unexplored issue. To investigate the relationship between a lung microbiome and the phenotype of an inflammatory stromal infiltrate, we studied a cohort of 89 patients with non-small cell lung cancer. The microbiome was analyzed in t...

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Autores principales: Kovaleva, Olga, Podlesnaya, Polina, Rashidova, Madina, Samoilova, Daria, Petrenko, Anatoly, Zborovskaya, Irina, Mochalnikova, Valeria, Kataev, Vladimir, Khlopko, Yuri, Plotnikov, Andrey, Gratchev, Alexei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554830/
https://www.ncbi.nlm.nih.gov/pubmed/32933105
http://dx.doi.org/10.3390/biomedicines8090349
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author Kovaleva, Olga
Podlesnaya, Polina
Rashidova, Madina
Samoilova, Daria
Petrenko, Anatoly
Zborovskaya, Irina
Mochalnikova, Valeria
Kataev, Vladimir
Khlopko, Yuri
Plotnikov, Andrey
Gratchev, Alexei
author_facet Kovaleva, Olga
Podlesnaya, Polina
Rashidova, Madina
Samoilova, Daria
Petrenko, Anatoly
Zborovskaya, Irina
Mochalnikova, Valeria
Kataev, Vladimir
Khlopko, Yuri
Plotnikov, Andrey
Gratchev, Alexei
author_sort Kovaleva, Olga
collection PubMed
description The link between a lung tumor and the lung microbiome is a largely unexplored issue. To investigate the relationship between a lung microbiome and the phenotype of an inflammatory stromal infiltrate, we studied a cohort of 89 patients with non-small cell lung cancer. The microbiome was analyzed in tumor and adjacent normal tissue by 16S rRNA amplicon sequencing. Characterization of the tumor stroma was done using immunohistochemistry. We demonstrated that the bacterial load was higher in adjacent normal tissue than in a tumor (p = 0.0325) with similar patterns of taxonomic structure and alpha diversity. Lung adenocarcinomas did not differ in their alpha diversity from squamous cell carcinomas, although the content of Gram-positive bacteria increased significantly in the adenocarcinoma group (p = 0.0419). An analysis of an inflammatory infiltrate of tumor stroma showed a correlation of CD68, iNOS and FOXP3 with a histological type of tumor. For the first time we showed that high bacterial load in the tumor combined with increased iNOS expression is a favorable prognostic factor (HR = 0.1824; p = 0.0123), while high bacterial load combined with the increased number of FOXP3+ cells is a marker of poor prognosis (HR = 4.651; p = 0.0116). Thus, we established that bacterial load of the tumor has an opposite prognostic value depending on the status of local antitumor immunity.
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spelling pubmed-75548302020-10-14 Lung Microbiome Differentially Impacts Survival of Patients with Non-Small Cell Lung Cancer Depending on Tumor Stroma Phenotype Kovaleva, Olga Podlesnaya, Polina Rashidova, Madina Samoilova, Daria Petrenko, Anatoly Zborovskaya, Irina Mochalnikova, Valeria Kataev, Vladimir Khlopko, Yuri Plotnikov, Andrey Gratchev, Alexei Biomedicines Article The link between a lung tumor and the lung microbiome is a largely unexplored issue. To investigate the relationship between a lung microbiome and the phenotype of an inflammatory stromal infiltrate, we studied a cohort of 89 patients with non-small cell lung cancer. The microbiome was analyzed in tumor and adjacent normal tissue by 16S rRNA amplicon sequencing. Characterization of the tumor stroma was done using immunohistochemistry. We demonstrated that the bacterial load was higher in adjacent normal tissue than in a tumor (p = 0.0325) with similar patterns of taxonomic structure and alpha diversity. Lung adenocarcinomas did not differ in their alpha diversity from squamous cell carcinomas, although the content of Gram-positive bacteria increased significantly in the adenocarcinoma group (p = 0.0419). An analysis of an inflammatory infiltrate of tumor stroma showed a correlation of CD68, iNOS and FOXP3 with a histological type of tumor. For the first time we showed that high bacterial load in the tumor combined with increased iNOS expression is a favorable prognostic factor (HR = 0.1824; p = 0.0123), while high bacterial load combined with the increased number of FOXP3+ cells is a marker of poor prognosis (HR = 4.651; p = 0.0116). Thus, we established that bacterial load of the tumor has an opposite prognostic value depending on the status of local antitumor immunity. MDPI 2020-09-13 /pmc/articles/PMC7554830/ /pubmed/32933105 http://dx.doi.org/10.3390/biomedicines8090349 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kovaleva, Olga
Podlesnaya, Polina
Rashidova, Madina
Samoilova, Daria
Petrenko, Anatoly
Zborovskaya, Irina
Mochalnikova, Valeria
Kataev, Vladimir
Khlopko, Yuri
Plotnikov, Andrey
Gratchev, Alexei
Lung Microbiome Differentially Impacts Survival of Patients with Non-Small Cell Lung Cancer Depending on Tumor Stroma Phenotype
title Lung Microbiome Differentially Impacts Survival of Patients with Non-Small Cell Lung Cancer Depending on Tumor Stroma Phenotype
title_full Lung Microbiome Differentially Impacts Survival of Patients with Non-Small Cell Lung Cancer Depending on Tumor Stroma Phenotype
title_fullStr Lung Microbiome Differentially Impacts Survival of Patients with Non-Small Cell Lung Cancer Depending on Tumor Stroma Phenotype
title_full_unstemmed Lung Microbiome Differentially Impacts Survival of Patients with Non-Small Cell Lung Cancer Depending on Tumor Stroma Phenotype
title_short Lung Microbiome Differentially Impacts Survival of Patients with Non-Small Cell Lung Cancer Depending on Tumor Stroma Phenotype
title_sort lung microbiome differentially impacts survival of patients with non-small cell lung cancer depending on tumor stroma phenotype
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554830/
https://www.ncbi.nlm.nih.gov/pubmed/32933105
http://dx.doi.org/10.3390/biomedicines8090349
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