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Comprehensive analysis of microbiota signature across 32 cancer types

Microbial communities significantly inhabit the human body. Evidence shows the interaction between the human microbiome and host cells plays a central role in multiple physiological processes and organ microenvironments. However, the majority of related studies focus on gut microbiota or specific ti...

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Autores principales: Yang, Xia, An, Huimin, He, Yongtao, Fu, Guoxiang, Jiang, Zhinong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031003/
https://www.ncbi.nlm.nih.gov/pubmed/36969036
http://dx.doi.org/10.3389/fonc.2023.1127225
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author Yang, Xia
An, Huimin
He, Yongtao
Fu, Guoxiang
Jiang, Zhinong
author_facet Yang, Xia
An, Huimin
He, Yongtao
Fu, Guoxiang
Jiang, Zhinong
author_sort Yang, Xia
collection PubMed
description Microbial communities significantly inhabit the human body. Evidence shows the interaction between the human microbiome and host cells plays a central role in multiple physiological processes and organ microenvironments. However, the majority of related studies focus on gut microbiota or specific tissues/organs, and the component signature of intratumor microbiota across various cancer types remains unclear. Here, we systematically analyzed the correlation between intratumor microbial signature with survival outcomes, genomic features, and immune profiles across 32 cancer types based on the public databases of Bacteria in Cancer (BIC) and The Cancer Genome Atlas (TCGA). Results showed the relative abundance of microbial taxa in tumors compared to normal tissues was observed as particularly noticeable. Survival analysis found that specific candidate microbial taxa were correlated with prognosis across various cancers. Then, a microbial-based scoring system (MS), which was composed of 64 candidate prognostic microbes, was established. Further analyses showed significant differences in survival status, genomic function, and immune profiles among the distinct MS subgroups. Taken together, this study reveals the diversity and complexity of microbiomes in tumors. Classifying cancer into different subtypes based on intratumor microbial signatures might reasonably reflect genomic characteristics, immune features, and survival status.
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spelling pubmed-100310032023-03-23 Comprehensive analysis of microbiota signature across 32 cancer types Yang, Xia An, Huimin He, Yongtao Fu, Guoxiang Jiang, Zhinong Front Oncol Oncology Microbial communities significantly inhabit the human body. Evidence shows the interaction between the human microbiome and host cells plays a central role in multiple physiological processes and organ microenvironments. However, the majority of related studies focus on gut microbiota or specific tissues/organs, and the component signature of intratumor microbiota across various cancer types remains unclear. Here, we systematically analyzed the correlation between intratumor microbial signature with survival outcomes, genomic features, and immune profiles across 32 cancer types based on the public databases of Bacteria in Cancer (BIC) and The Cancer Genome Atlas (TCGA). Results showed the relative abundance of microbial taxa in tumors compared to normal tissues was observed as particularly noticeable. Survival analysis found that specific candidate microbial taxa were correlated with prognosis across various cancers. Then, a microbial-based scoring system (MS), which was composed of 64 candidate prognostic microbes, was established. Further analyses showed significant differences in survival status, genomic function, and immune profiles among the distinct MS subgroups. Taken together, this study reveals the diversity and complexity of microbiomes in tumors. Classifying cancer into different subtypes based on intratumor microbial signatures might reasonably reflect genomic characteristics, immune features, and survival status. Frontiers Media S.A. 2023-03-08 /pmc/articles/PMC10031003/ /pubmed/36969036 http://dx.doi.org/10.3389/fonc.2023.1127225 Text en Copyright © 2023 Yang, An, He, Fu and Jiang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Yang, Xia
An, Huimin
He, Yongtao
Fu, Guoxiang
Jiang, Zhinong
Comprehensive analysis of microbiota signature across 32 cancer types
title Comprehensive analysis of microbiota signature across 32 cancer types
title_full Comprehensive analysis of microbiota signature across 32 cancer types
title_fullStr Comprehensive analysis of microbiota signature across 32 cancer types
title_full_unstemmed Comprehensive analysis of microbiota signature across 32 cancer types
title_short Comprehensive analysis of microbiota signature across 32 cancer types
title_sort comprehensive analysis of microbiota signature across 32 cancer types
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031003/
https://www.ncbi.nlm.nih.gov/pubmed/36969036
http://dx.doi.org/10.3389/fonc.2023.1127225
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