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. 2023 Aug 22;15(17):4211.
doi: 10.3390/cancers15174211.

No Clear Clustering Dysbiosis from Salivary Microbiota Analysis by Long Sequencing Reads in Patients Affected by Oral Squamous Cell Carcinoma: A Single Center Study

Rodolfo Mauceri  1   2 , Martina Coppini  1   3 , Davide Vacca  1   4 , Giorgio Bertolazzi  4   5 , Valeria Cancila  4 , Claudio Tripodo  4 , Giuseppina Campisi  1   2
Affiliations

No Clear Clustering Dysbiosis from Salivary Microbiota Analysis by Long Sequencing Reads in Patients Affected by Oral Squamous Cell Carcinoma: A Single Center Study

Rodolfo Mauceri et al. Cancers (Basel). .

Abstract

Background: Advancements in DNA sequencing technology have facilitated the assessment of the connection between the oral microbiome and various diseases. The aim of the present study was to investigate the salivary microbiota composition employing for the first time in the literature the Oxford Nanopore Technology in patients affected by oral squamous cell carcinoma (OSCC).

Methods: Unstimulated saliva samples of 31 patients were collected (24 OSCC patients and 7 controls). DNA was extracted using the QIAamp DNA Blood Kit and metagenomic long sequencing reads were performed using the MinION device.

Results: In the OSCC group, 13 were males and 11 were females, with a mean age of 65.5 ± 13.9 years; in the control group, 5 were males and 2 were females, with a mean age of 51.4 ± 19.2 years. The border of the tongue was the most affected OSCC site. The microorganisms predominantly detected in OSCC patients were Prevotella, Chlamydia, Tissierellia, Calothrix, Leotiomycetes, Firmicutes and Zetaproteobacteria.

Conclusions: This study confirmed the predominance of periodontopathic bacteria in the salivary microbiome in the OSCC group. If a direct correlation between oral dysbiosis and OSCC onset was proven, it could lead to new prevention strategies and early diagnostic tools.

Keywords: Next Generation Sequencing (NGS); OSCC; metagenomics; microbial composition; microbiota; silico estimation; squamous cell carcinoma of head and neck.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Relative frequencies of organism classes over patients.
Figure 2
Figure 2
Hierarchical clustering over patients.
Figure 3
Figure 3
Organisms and class overlaps among groups. (a) Organisms overlaps among groups. (b) Class overlaps among groups.
See this image and copyright information in PMC

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