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Mucin-microbiome signatures shape the tumor microenvironment in gastric cancer

BACKGROUND AND AIMS: We aimed to identify mucin-microbiome signatures shaping the tumor microenvironment in gastric adenocarcinomas and clinical outcomes. METHODS: We performed high-throughput profiling of the mucin phenotypes present in 108 gastric adenocarcinomas and 20 functional dyspepsia cases...

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Autores principales: Oosterlinck, Baptiste, Ceuleers, Hannah, Arras, Wout, De Man, Joris G., Geboes, Karen, De Schepper, Heiko, Peeters, Marc, Lebeer, Sarah, Skieceviciene, Jurgita, Hold, Georgina L., Kupcinskas, Juozas, Link, Alexander, De Winter, Benedicte Y., Smet, Annemieke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120190/
https://www.ncbi.nlm.nih.gov/pubmed/37085819
http://dx.doi.org/10.1186/s40168-023-01534-w
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author Oosterlinck, Baptiste
Ceuleers, Hannah
Arras, Wout
De Man, Joris G.
Geboes, Karen
De Schepper, Heiko
Peeters, Marc
Lebeer, Sarah
Skieceviciene, Jurgita
Hold, Georgina L.
Kupcinskas, Juozas
Link, Alexander
De Winter, Benedicte Y.
Smet, Annemieke
author_facet Oosterlinck, Baptiste
Ceuleers, Hannah
Arras, Wout
De Man, Joris G.
Geboes, Karen
De Schepper, Heiko
Peeters, Marc
Lebeer, Sarah
Skieceviciene, Jurgita
Hold, Georgina L.
Kupcinskas, Juozas
Link, Alexander
De Winter, Benedicte Y.
Smet, Annemieke
author_sort Oosterlinck, Baptiste
collection PubMed
description BACKGROUND AND AIMS: We aimed to identify mucin-microbiome signatures shaping the tumor microenvironment in gastric adenocarcinomas and clinical outcomes. METHODS: We performed high-throughput profiling of the mucin phenotypes present in 108 gastric adenocarcinomas and 20 functional dyspepsia cases using validated mucin-based RT-qPCRs with subsequent immunohistochemistry validation and correlated the data with clinical outcome parameters. The gastric microbiota was assessed by 16S rRNA gene sequencing, taxonomy, and community composition determined, microbial networks analyzed, and the metagenome inferred in association with mucin phenotypes and expression. RESULTS: Gastric adenocarcinomas with an intestinal mucin environment or high-level MUC13 expression are associated with poor survival. On the contrary, gastric MUC5AC or MUC6 abundance was associated with a more favorable outcome. The oral taxa Neisseria, Prevotella, and Veillonella had centralities in tumors with intestinal and mixed phenotypes and were associated with MUC13 overexpression, highlighting their role as potential drivers in MUC13 signaling in GC. Furthermore, dense bacterial networks were observed in intestinal and mixed mucin phenotype tumors whereas the lowest community complexity was shown in null mucin phenotype tumors due to higher Helicobacter abundance resulting in a more decreased diversity. Enrichment of oral or intestinal microbes was mucin phenotype dependent. More specifically, intestinal mucin phenotype tumors favored the establishment of pro-inflammatory oral taxa forming strong co-occurrence networks. CONCLUSIONS: Our results emphasize key roles for mucins in gastric cancer prognosis and shaping microbial networks in the tumor microenvironment. Specifically, the enriched oral taxa associated with aberrant MUC13 expression can be potential biomarkers in predicting disease outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-023-01534-w.
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spelling pubmed-101201902023-04-22 Mucin-microbiome signatures shape the tumor microenvironment in gastric cancer Oosterlinck, Baptiste Ceuleers, Hannah Arras, Wout De Man, Joris G. Geboes, Karen De Schepper, Heiko Peeters, Marc Lebeer, Sarah Skieceviciene, Jurgita Hold, Georgina L. Kupcinskas, Juozas Link, Alexander De Winter, Benedicte Y. Smet, Annemieke Microbiome Research BACKGROUND AND AIMS: We aimed to identify mucin-microbiome signatures shaping the tumor microenvironment in gastric adenocarcinomas and clinical outcomes. METHODS: We performed high-throughput profiling of the mucin phenotypes present in 108 gastric adenocarcinomas and 20 functional dyspepsia cases using validated mucin-based RT-qPCRs with subsequent immunohistochemistry validation and correlated the data with clinical outcome parameters. The gastric microbiota was assessed by 16S rRNA gene sequencing, taxonomy, and community composition determined, microbial networks analyzed, and the metagenome inferred in association with mucin phenotypes and expression. RESULTS: Gastric adenocarcinomas with an intestinal mucin environment or high-level MUC13 expression are associated with poor survival. On the contrary, gastric MUC5AC or MUC6 abundance was associated with a more favorable outcome. The oral taxa Neisseria, Prevotella, and Veillonella had centralities in tumors with intestinal and mixed phenotypes and were associated with MUC13 overexpression, highlighting their role as potential drivers in MUC13 signaling in GC. Furthermore, dense bacterial networks were observed in intestinal and mixed mucin phenotype tumors whereas the lowest community complexity was shown in null mucin phenotype tumors due to higher Helicobacter abundance resulting in a more decreased diversity. Enrichment of oral or intestinal microbes was mucin phenotype dependent. More specifically, intestinal mucin phenotype tumors favored the establishment of pro-inflammatory oral taxa forming strong co-occurrence networks. CONCLUSIONS: Our results emphasize key roles for mucins in gastric cancer prognosis and shaping microbial networks in the tumor microenvironment. Specifically, the enriched oral taxa associated with aberrant MUC13 expression can be potential biomarkers in predicting disease outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-023-01534-w. BioMed Central 2023-04-21 /pmc/articles/PMC10120190/ /pubmed/37085819 http://dx.doi.org/10.1186/s40168-023-01534-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Oosterlinck, Baptiste
Ceuleers, Hannah
Arras, Wout
De Man, Joris G.
Geboes, Karen
De Schepper, Heiko
Peeters, Marc
Lebeer, Sarah
Skieceviciene, Jurgita
Hold, Georgina L.
Kupcinskas, Juozas
Link, Alexander
De Winter, Benedicte Y.
Smet, Annemieke
Mucin-microbiome signatures shape the tumor microenvironment in gastric cancer
title Mucin-microbiome signatures shape the tumor microenvironment in gastric cancer
title_full Mucin-microbiome signatures shape the tumor microenvironment in gastric cancer
title_fullStr Mucin-microbiome signatures shape the tumor microenvironment in gastric cancer
title_full_unstemmed Mucin-microbiome signatures shape the tumor microenvironment in gastric cancer
title_short Mucin-microbiome signatures shape the tumor microenvironment in gastric cancer
title_sort mucin-microbiome signatures shape the tumor microenvironment in gastric cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120190/
https://www.ncbi.nlm.nih.gov/pubmed/37085819
http://dx.doi.org/10.1186/s40168-023-01534-w
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