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Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy

The human gut microbiome plays an important role in both health and disease. Recent studies have demonstrated a strong influence of the gut microbiome composition on the efficacy of cancer immunotherapy. However, available studies have not yet succeeded in finding reliable and consistent metagenomic...

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Autores principales: Olekhnovich, Evgenii I., Ivanov, Artem B., Babkina, Anna A., Sokolov, Arseniy A., Ulyantsev, Vladimir I., Fedorov, Dmitry E., Ilina, Elena N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134792/
https://www.ncbi.nlm.nih.gov/pubmed/36809182
http://dx.doi.org/10.1128/msystems.01023-22
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author Olekhnovich, Evgenii I.
Ivanov, Artem B.
Babkina, Anna A.
Sokolov, Arseniy A.
Ulyantsev, Vladimir I.
Fedorov, Dmitry E.
Ilina, Elena N.
author_facet Olekhnovich, Evgenii I.
Ivanov, Artem B.
Babkina, Anna A.
Sokolov, Arseniy A.
Ulyantsev, Vladimir I.
Fedorov, Dmitry E.
Ilina, Elena N.
author_sort Olekhnovich, Evgenii I.
collection PubMed
description The human gut microbiome plays an important role in both health and disease. Recent studies have demonstrated a strong influence of the gut microbiome composition on the efficacy of cancer immunotherapy. However, available studies have not yet succeeded in finding reliable and consistent metagenomic markers that are associated with the response to immunotherapy. Therefore, the reanalysis of the published data may improve our understanding of the association between the composition of the gut microbiome and the treatment response. In this study, we focused on melanoma-related metagenomic data, which are more abundant than are data from other tumor types. We analyzed the metagenomes of 680 stool samples from 7 studies that were published earlier. The taxonomic and functional biomarkers were selected after comparing the metagenomes of patients showing different treatment responses. The list of selected biomarkers was also validated on additional metagenomic data sets that were dedicated to the influence of fecal microbiota transplantation on the response to melanoma immunotherapy. According to our analysis, the resulting cross-study taxonomic biomarkers included three bacterial species: Faecalibacterium prausnitzii, Bifidobacterium adolescentis, and Eubacterium rectale. 101 groups of genes were identified to be functional biomarkers, including those potentially involved in the production of immune-stimulating molecules and metabolites. Moreover, we ranked the microbial species by the number of genes encoding functionally relevant biomarkers that they contained. Thus, we put together a list of potentially the most beneficial bacteria for immunotherapy success. F. prausnitzii, E. rectale, and three species of bifidobacteria stood out as the most beneficial species, even though some useful functions were also present in other bacterial species. IMPORTANCE In this study, we put together a list of potentially the most beneficial bacteria that were associated with a responsiveness to melanoma immunotherapy. Another important result of this study is the list of functional biomarkers of responsiveness to immunotherapy, which are dispersed among different bacterial species. This result possibly explains the existing irregularities between studies regarding the bacterial species that are beneficial to melanoma immunotherapy. Overall, these findings can be utilized to issue recommendations for gut microbiome correction in cancer immunotherapy, and the resulting list of biomarkers might serve as a good stepping stone for the development of a diagnostic test that is aimed at predicting patients’ responses to melanoma immunotherapy.
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spelling pubmed-101347922023-04-28 Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy Olekhnovich, Evgenii I. Ivanov, Artem B. Babkina, Anna A. Sokolov, Arseniy A. Ulyantsev, Vladimir I. Fedorov, Dmitry E. Ilina, Elena N. mSystems Research Article The human gut microbiome plays an important role in both health and disease. Recent studies have demonstrated a strong influence of the gut microbiome composition on the efficacy of cancer immunotherapy. However, available studies have not yet succeeded in finding reliable and consistent metagenomic markers that are associated with the response to immunotherapy. Therefore, the reanalysis of the published data may improve our understanding of the association between the composition of the gut microbiome and the treatment response. In this study, we focused on melanoma-related metagenomic data, which are more abundant than are data from other tumor types. We analyzed the metagenomes of 680 stool samples from 7 studies that were published earlier. The taxonomic and functional biomarkers were selected after comparing the metagenomes of patients showing different treatment responses. The list of selected biomarkers was also validated on additional metagenomic data sets that were dedicated to the influence of fecal microbiota transplantation on the response to melanoma immunotherapy. According to our analysis, the resulting cross-study taxonomic biomarkers included three bacterial species: Faecalibacterium prausnitzii, Bifidobacterium adolescentis, and Eubacterium rectale. 101 groups of genes were identified to be functional biomarkers, including those potentially involved in the production of immune-stimulating molecules and metabolites. Moreover, we ranked the microbial species by the number of genes encoding functionally relevant biomarkers that they contained. Thus, we put together a list of potentially the most beneficial bacteria for immunotherapy success. F. prausnitzii, E. rectale, and three species of bifidobacteria stood out as the most beneficial species, even though some useful functions were also present in other bacterial species. IMPORTANCE In this study, we put together a list of potentially the most beneficial bacteria that were associated with a responsiveness to melanoma immunotherapy. Another important result of this study is the list of functional biomarkers of responsiveness to immunotherapy, which are dispersed among different bacterial species. This result possibly explains the existing irregularities between studies regarding the bacterial species that are beneficial to melanoma immunotherapy. Overall, these findings can be utilized to issue recommendations for gut microbiome correction in cancer immunotherapy, and the resulting list of biomarkers might serve as a good stepping stone for the development of a diagnostic test that is aimed at predicting patients’ responses to melanoma immunotherapy. American Society for Microbiology 2023-02-21 /pmc/articles/PMC10134792/ /pubmed/36809182 http://dx.doi.org/10.1128/msystems.01023-22 Text en Copyright © 2023 Olekhnovich et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Olekhnovich, Evgenii I.
Ivanov, Artem B.
Babkina, Anna A.
Sokolov, Arseniy A.
Ulyantsev, Vladimir I.
Fedorov, Dmitry E.
Ilina, Elena N.
Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy
title Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy
title_full Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy
title_fullStr Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy
title_full_unstemmed Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy
title_short Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy
title_sort consistent stool metagenomic biomarkers associated with the response to melanoma immunotherapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134792/
https://www.ncbi.nlm.nih.gov/pubmed/36809182
http://dx.doi.org/10.1128/msystems.01023-22
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