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Microbial and molecular differences according to the location of head and neck cancers

BACKGROUND: Microbiome has been shown to substantially contribute to some cancers. However, the diagnostic implications of microbiome in head and neck squamous cell carcinoma (HNSCC) remain unknown. METHODS: To identify the molecular difference in the microbiome of oral and non-oral HNSCC, primary d...

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Autores principales: Kim, Yun Kyeong, Kwon, Eun Jung, Yu, Yeuni, Kim, Jayoung, Woo, Soo-Yeon, Choi, Hee-Sun, Kwon, Munju, Jung, Keehoon, Kim, Hyung-Sik, Park, Hae Ryoun, Lee, Dongjun, Kim, Yun Hak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962034/
https://www.ncbi.nlm.nih.gov/pubmed/35346218
http://dx.doi.org/10.1186/s12935-022-02554-6
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author Kim, Yun Kyeong
Kwon, Eun Jung
Yu, Yeuni
Kim, Jayoung
Woo, Soo-Yeon
Choi, Hee-Sun
Kwon, Munju
Jung, Keehoon
Kim, Hyung-Sik
Park, Hae Ryoun
Lee, Dongjun
Kim, Yun Hak
author_facet Kim, Yun Kyeong
Kwon, Eun Jung
Yu, Yeuni
Kim, Jayoung
Woo, Soo-Yeon
Choi, Hee-Sun
Kwon, Munju
Jung, Keehoon
Kim, Hyung-Sik
Park, Hae Ryoun
Lee, Dongjun
Kim, Yun Hak
author_sort Kim, Yun Kyeong
collection PubMed
description BACKGROUND: Microbiome has been shown to substantially contribute to some cancers. However, the diagnostic implications of microbiome in head and neck squamous cell carcinoma (HNSCC) remain unknown. METHODS: To identify the molecular difference in the microbiome of oral and non-oral HNSCC, primary data was downloaded from the Kraken-TCGA dataset. The molecular differences in the microbiome of oral and non-oral HNSCC were identified using the linear discriminant analysis effect size method. RESULTS: In the study, the common microbiomes in oral and non-oral cancers were Fusobacterium, Leptotrichia, Selenomonas and Treponema and Clostridium and Pseudoalteromonas, respectively. We found unique microbial signatures that positively correlated with Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways in oral cancer and positively and negatively correlated KEGG pathways in non-oral cancer. In oral cancer, positively correlated genes were mostly found in prion diseases, Alzheimer disease, Parkinson disease, Salmonella infection, and Pathogenic Escherichia coli infection. In non-oral cancer, positively correlated genes showed Herpes simplex virus 1 infection and Spliceosome and negatively correlated genes showed results from PI3K-Akt signaling pathway, Focal adhesion, Regulation of actin cytoskeleton, ECM-receptor interaction and Dilated cardiomyopathy. CONCLUSIONS: These results could help in understanding the underlying biological mechanisms of the microbiome of oral and non-oral HNSCC. Microbiome-based oncology diagnostic tool warrants further exploration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-022-02554-6.
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spelling pubmed-89620342022-03-30 Microbial and molecular differences according to the location of head and neck cancers Kim, Yun Kyeong Kwon, Eun Jung Yu, Yeuni Kim, Jayoung Woo, Soo-Yeon Choi, Hee-Sun Kwon, Munju Jung, Keehoon Kim, Hyung-Sik Park, Hae Ryoun Lee, Dongjun Kim, Yun Hak Cancer Cell Int Research BACKGROUND: Microbiome has been shown to substantially contribute to some cancers. However, the diagnostic implications of microbiome in head and neck squamous cell carcinoma (HNSCC) remain unknown. METHODS: To identify the molecular difference in the microbiome of oral and non-oral HNSCC, primary data was downloaded from the Kraken-TCGA dataset. The molecular differences in the microbiome of oral and non-oral HNSCC were identified using the linear discriminant analysis effect size method. RESULTS: In the study, the common microbiomes in oral and non-oral cancers were Fusobacterium, Leptotrichia, Selenomonas and Treponema and Clostridium and Pseudoalteromonas, respectively. We found unique microbial signatures that positively correlated with Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways in oral cancer and positively and negatively correlated KEGG pathways in non-oral cancer. In oral cancer, positively correlated genes were mostly found in prion diseases, Alzheimer disease, Parkinson disease, Salmonella infection, and Pathogenic Escherichia coli infection. In non-oral cancer, positively correlated genes showed Herpes simplex virus 1 infection and Spliceosome and negatively correlated genes showed results from PI3K-Akt signaling pathway, Focal adhesion, Regulation of actin cytoskeleton, ECM-receptor interaction and Dilated cardiomyopathy. CONCLUSIONS: These results could help in understanding the underlying biological mechanisms of the microbiome of oral and non-oral HNSCC. Microbiome-based oncology diagnostic tool warrants further exploration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-022-02554-6. BioMed Central 2022-03-26 /pmc/articles/PMC8962034/ /pubmed/35346218 http://dx.doi.org/10.1186/s12935-022-02554-6 Text en © The Author(s) 2022 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
Kim, Yun Kyeong
Kwon, Eun Jung
Yu, Yeuni
Kim, Jayoung
Woo, Soo-Yeon
Choi, Hee-Sun
Kwon, Munju
Jung, Keehoon
Kim, Hyung-Sik
Park, Hae Ryoun
Lee, Dongjun
Kim, Yun Hak
Microbial and molecular differences according to the location of head and neck cancers
title Microbial and molecular differences according to the location of head and neck cancers
title_full Microbial and molecular differences according to the location of head and neck cancers
title_fullStr Microbial and molecular differences according to the location of head and neck cancers
title_full_unstemmed Microbial and molecular differences according to the location of head and neck cancers
title_short Microbial and molecular differences according to the location of head and neck cancers
title_sort microbial and molecular differences according to the location of head and neck cancers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962034/
https://www.ncbi.nlm.nih.gov/pubmed/35346218
http://dx.doi.org/10.1186/s12935-022-02554-6
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