Delaney, C., Veena, C. L. R., Butcher, M. C., Mclean, W. , Shaban, S. M. A., Nile, C. J. and Ramage, G. (2023) Limitations of using 16S rRNA microbiome sequencing to predict oral squamous cell carcinoma. APMIS: Journal of Pathology, Microbiology and Immunology, 131(6), pp. 262-276. (doi: 10.1111/apm.13315) (PMID:37002549)
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Abstract
A new era of next-generation sequencing has changed our perception of the oral microbiome in health and disease, and with this there is a growing understanding that the oral microbiome is a contributing factor to oral squamous cell carcinoma (OSCC), a malignancy of the oral cavity. This study aimed to analyse the trends and relevant literature based on the 16S rRNA oral microbiome in head and neck cancer using next-generation sequencing technologies, and to conduct a meta-analysis of the studies with OSCC cases and healthy controls. A literature search using the databases Web of Science and PubMed was conducted in a scoping-like review to collect information based on the study design, and plots were generated using RStudio. We selected case–control studies using 16S rRNA oral microbiome sequencing analysis in OSCC cases versus healthy controls for re-analysis. Statistical analyses were conducted using R. Out of 916 original articles, we filtered and selected 58 studies for review, and 11 studies for meta-analysis. Differences between sampling type, DNA extraction methods, next-generation sequencing technology and region of the 16S rRNA were identified. No significant differences in the α- and β-diversity between health and oral squamous cell carcinoma were observed (p < 0.05). Random Forest classification marginally improved predictability of four studies (training set) when split 80/20. We found an increase in Selenomonas, Leptotrichia and Prevotella species to be indicative of disease. A number of technological advances have been accomplished to study oral microbial dysbiosis in oral squamous cell carcinoma. There is a clear need for standardization of study design and methodology to ensure 16S rRNA outputs are comparable across the discipline in the hope of identifying ‘biomarker’ organisms for designing screening or diagnostic tools.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Butcher, Mr Mark and Ramage, Professor Gordon and Ramalingam Veena, Dr Chandra Lekha and Nile, Dr Christopher and Delaney, Mr Christopher and Mclean, Professor William and Shaban, Suror Mohamad Ahmad |
| Authors: | Delaney, C., Veena, C. L. R., Butcher, M. C., Mclean, W., Shaban, S. M. A., Nile, C. J., and Ramage, G. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing > Dental School |
| Journal Name: | APMIS: Journal of Pathology, Microbiology and Immunology |
| Publisher: | Wiley |
| ISSN: | 0903-4641 |
| ISSN (Online): | 1600-0463 |
| Published Online: | 31 March 2023 |
| Copyright Holders: | Copyright © 2023 The Authors |
| First Published: | First published in APMIS: Journal of Pathology, Microbiology and Immunology 131(6):262-276 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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