Oral microbiome associated with lymph node metastasis in oral squamous cell carcinoma

Abstract Oral microbiota can alter cancer susceptibility and progression by modulating metabolism and inflammation. We assessed the association between the oral microbiome and lymph node (LN) metastasis in oral squamous cell carcinoma (OSCC). We collected a total of 54 saliva samples from patients w...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Young-Gyu Eun, Jung-Woo Lee, Seung Woo Kim, Dong-Wook Hyun, Jin-Woo Bae, Young Chan Lee
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7cd41d2cb80f4011ad920c17baa18afd
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:7cd41d2cb80f4011ad920c17baa18afd
record_format	dspace
spelling	oai:doaj.org-article:7cd41d2cb80f4011ad920c17baa18afd2021-12-05T12:16:17ZOral microbiome associated with lymph node metastasis in oral squamous cell carcinoma10.1038/s41598-021-02638-92045-2322https://doaj.org/article/7cd41d2cb80f4011ad920c17baa18afd2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02638-9https://doaj.org/toc/2045-2322Abstract Oral microbiota can alter cancer susceptibility and progression by modulating metabolism and inflammation. We assessed the association between the oral microbiome and lymph node (LN) metastasis in oral squamous cell carcinoma (OSCC). We collected a total of 54 saliva samples from patients with OSCC before surgery. LN metastasis was assessed based on postoperative pathological examination. We used QIIME2, linear discriminant analysis effect size (LEfSe), and PICRUSt2 methods to analyze microbial dysbiosis. A random forest classifier was used to assess whether the oral microbiome could predict LN metastasis. Among the 54 OSCC samples, 20 had LN metastasis, and 34 had no evidence of metastasis. There was a significant difference in β-diversity between the metastasis and no metastasis groups. Through LEfSe analysis, the metastasis group was enriched in the genera Prevotella, Stomatobaculum, Bifidobacterium, Peptostreptococcaceae, Shuttleworthia and Finegoldia. Pathways related to signal peptidase II were predominant in the no metastasis group. The RF model showed a modestly high accuracy for predicting metastasis. Differences in microbial community composition and functions were observed in the oral microbiome of patients with OSCC with and without LN metastasis. However, the finding that specific taxa may be associated with LN metastasis should be verified in a further prospective study.Young-Gyu EunJung-Woo LeeSeung Woo KimDong-Wook HyunJin-Woo BaeYoung Chan LeeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Young-Gyu Eun Jung-Woo Lee Seung Woo Kim Dong-Wook Hyun Jin-Woo Bae Young Chan Lee Oral microbiome associated with lymph node metastasis in oral squamous cell carcinoma
description	Abstract Oral microbiota can alter cancer susceptibility and progression by modulating metabolism and inflammation. We assessed the association between the oral microbiome and lymph node (LN) metastasis in oral squamous cell carcinoma (OSCC). We collected a total of 54 saliva samples from patients with OSCC before surgery. LN metastasis was assessed based on postoperative pathological examination. We used QIIME2, linear discriminant analysis effect size (LEfSe), and PICRUSt2 methods to analyze microbial dysbiosis. A random forest classifier was used to assess whether the oral microbiome could predict LN metastasis. Among the 54 OSCC samples, 20 had LN metastasis, and 34 had no evidence of metastasis. There was a significant difference in β-diversity between the metastasis and no metastasis groups. Through LEfSe analysis, the metastasis group was enriched in the genera Prevotella, Stomatobaculum, Bifidobacterium, Peptostreptococcaceae, Shuttleworthia and Finegoldia. Pathways related to signal peptidase II were predominant in the no metastasis group. The RF model showed a modestly high accuracy for predicting metastasis. Differences in microbial community composition and functions were observed in the oral microbiome of patients with OSCC with and without LN metastasis. However, the finding that specific taxa may be associated with LN metastasis should be verified in a further prospective study.
format	article
author	Young-Gyu Eun Jung-Woo Lee Seung Woo Kim Dong-Wook Hyun Jin-Woo Bae Young Chan Lee
author_facet	Young-Gyu Eun Jung-Woo Lee Seung Woo Kim Dong-Wook Hyun Jin-Woo Bae Young Chan Lee
author_sort	Young-Gyu Eun
title	Oral microbiome associated with lymph node metastasis in oral squamous cell carcinoma
title_short	Oral microbiome associated with lymph node metastasis in oral squamous cell carcinoma
title_full	Oral microbiome associated with lymph node metastasis in oral squamous cell carcinoma
title_fullStr	Oral microbiome associated with lymph node metastasis in oral squamous cell carcinoma
title_full_unstemmed	Oral microbiome associated with lymph node metastasis in oral squamous cell carcinoma
title_sort	oral microbiome associated with lymph node metastasis in oral squamous cell carcinoma
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7cd41d2cb80f4011ad920c17baa18afd
work_keys_str_mv	AT younggyueun oralmicrobiomeassociatedwithlymphnodemetastasisinoralsquamouscellcarcinoma AT jungwoolee oralmicrobiomeassociatedwithlymphnodemetastasisinoralsquamouscellcarcinoma AT seungwookim oralmicrobiomeassociatedwithlymphnodemetastasisinoralsquamouscellcarcinoma AT dongwookhyun oralmicrobiomeassociatedwithlymphnodemetastasisinoralsquamouscellcarcinoma AT jinwoobae oralmicrobiomeassociatedwithlymphnodemetastasisinoralsquamouscellcarcinoma AT youngchanlee oralmicrobiomeassociatedwithlymphnodemetastasisinoralsquamouscellcarcinoma
_version_	1718372083276185600

Oral microbiome associated with lymph node metastasis in oral squamous cell carcinoma

Ejemplares similares