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A Multi-Omics Study of Familial Lung Cancer: Microbiome and Host Gene Expression Patterns

BACKGROUND: Inherited susceptibility and environmental carcinogens are crucial players in lung cancer etiology. The lung microbiome is getting rising attention in carcinogenesis. The present work sought to investigate the microbiome in lung cancer patients affected by familial lung cancer (FLC) and...

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Autores principales: Chen, Ying, Huang, Yunchao, Ding, Xiaojie, Yang, Zhenlin, He, Liang, Ning, Mingjie, Yang, Zhenghong, He, Daqian, Yang, Lijuan, Liu, Zhangyi, Chen, Yan, Li, Guangjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037597/
https://www.ncbi.nlm.nih.gov/pubmed/35479075
http://dx.doi.org/10.3389/fimmu.2022.827953
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author Chen, Ying
Huang, Yunchao
Ding, Xiaojie
Yang, Zhenlin
He, Liang
Ning, Mingjie
Yang, Zhenghong
He, Daqian
Yang, Lijuan
Liu, Zhangyi
Chen, Yan
Li, Guangjian
author_facet Chen, Ying
Huang, Yunchao
Ding, Xiaojie
Yang, Zhenlin
He, Liang
Ning, Mingjie
Yang, Zhenghong
He, Daqian
Yang, Lijuan
Liu, Zhangyi
Chen, Yan
Li, Guangjian
author_sort Chen, Ying
collection PubMed
description BACKGROUND: Inherited susceptibility and environmental carcinogens are crucial players in lung cancer etiology. The lung microbiome is getting rising attention in carcinogenesis. The present work sought to investigate the microbiome in lung cancer patients affected by familial lung cancer (FLC) and indoor air pollution (IAP); and further, to compare host gene expression patterns with their microbiome for potential links. METHODS: Tissue sample pairs (cancer and adjacent nonmalignant tissue) were used for 16S rRNA (microbiome) and RNA-seq (host gene expression). Subgroup microbiome diversities and their matched gene expression patterns were analyzed. Significantly enriched taxa were screened out, based on different clinicopathologic characteristics. RESULTS: Our FLC microbiome seemed to be smaller, low-diversity, and inactive to change; we noted microbiome differences in gender, age, blood type, anatomy site, histology type, TNM stage as well as IAP and smoking conditions. We also found smoking and IAP dramatically decreased specific-OTU biodiversity, especially in normal lung tissue. Intriguingly, enriched microbes were in three categories: opportunistic pathogens, probiotics, and pollutant-detoxication microbes; this third category involved Sphingomonas, Sphingopyxis, etc. which help degrade pollutants, but may also cause epithelial damage and chronic inflammation. RNA-seq highlighted IL17, Ras, MAPK, and Notch pathways, which are associated with carcinogenesis and compromised immune system. CONCLUSIONS: The lung microbiome can play vital roles in carcinogenesis. FLC and IAP subjects were affected by fragile lung epithelium, vulnerable host-microbes equilibrium, and dysregulated immune surveillance and response. Our findings provided useful information to study the triple interplay among environmental carcinogens, population genetic background, and diversified lung microbiome.
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spelling pubmed-90375972022-04-26 A Multi-Omics Study of Familial Lung Cancer: Microbiome and Host Gene Expression Patterns Chen, Ying Huang, Yunchao Ding, Xiaojie Yang, Zhenlin He, Liang Ning, Mingjie Yang, Zhenghong He, Daqian Yang, Lijuan Liu, Zhangyi Chen, Yan Li, Guangjian Front Immunol Immunology BACKGROUND: Inherited susceptibility and environmental carcinogens are crucial players in lung cancer etiology. The lung microbiome is getting rising attention in carcinogenesis. The present work sought to investigate the microbiome in lung cancer patients affected by familial lung cancer (FLC) and indoor air pollution (IAP); and further, to compare host gene expression patterns with their microbiome for potential links. METHODS: Tissue sample pairs (cancer and adjacent nonmalignant tissue) were used for 16S rRNA (microbiome) and RNA-seq (host gene expression). Subgroup microbiome diversities and their matched gene expression patterns were analyzed. Significantly enriched taxa were screened out, based on different clinicopathologic characteristics. RESULTS: Our FLC microbiome seemed to be smaller, low-diversity, and inactive to change; we noted microbiome differences in gender, age, blood type, anatomy site, histology type, TNM stage as well as IAP and smoking conditions. We also found smoking and IAP dramatically decreased specific-OTU biodiversity, especially in normal lung tissue. Intriguingly, enriched microbes were in three categories: opportunistic pathogens, probiotics, and pollutant-detoxication microbes; this third category involved Sphingomonas, Sphingopyxis, etc. which help degrade pollutants, but may also cause epithelial damage and chronic inflammation. RNA-seq highlighted IL17, Ras, MAPK, and Notch pathways, which are associated with carcinogenesis and compromised immune system. CONCLUSIONS: The lung microbiome can play vital roles in carcinogenesis. FLC and IAP subjects were affected by fragile lung epithelium, vulnerable host-microbes equilibrium, and dysregulated immune surveillance and response. Our findings provided useful information to study the triple interplay among environmental carcinogens, population genetic background, and diversified lung microbiome. Frontiers Media S.A. 2022-04-11 /pmc/articles/PMC9037597/ /pubmed/35479075 http://dx.doi.org/10.3389/fimmu.2022.827953 Text en Copyright © 2022 Chen, Huang, Ding, Yang, He, Ning, Yang, He, Yang, Liu, Chen and Li 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 Immunology
Chen, Ying
Huang, Yunchao
Ding, Xiaojie
Yang, Zhenlin
He, Liang
Ning, Mingjie
Yang, Zhenghong
He, Daqian
Yang, Lijuan
Liu, Zhangyi
Chen, Yan
Li, Guangjian
A Multi-Omics Study of Familial Lung Cancer: Microbiome and Host Gene Expression Patterns
title A Multi-Omics Study of Familial Lung Cancer: Microbiome and Host Gene Expression Patterns
title_full A Multi-Omics Study of Familial Lung Cancer: Microbiome and Host Gene Expression Patterns
title_fullStr A Multi-Omics Study of Familial Lung Cancer: Microbiome and Host Gene Expression Patterns
title_full_unstemmed A Multi-Omics Study of Familial Lung Cancer: Microbiome and Host Gene Expression Patterns
title_short A Multi-Omics Study of Familial Lung Cancer: Microbiome and Host Gene Expression Patterns
title_sort multi-omics study of familial lung cancer: microbiome and host gene expression patterns
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037597/
https://www.ncbi.nlm.nih.gov/pubmed/35479075
http://dx.doi.org/10.3389/fimmu.2022.827953
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