Systematic review and meta-analysis of oral squamous cell carcinoma associated oral microbiome.

Autor:	Peter TK; Division of Biostatistics and Computational Biology, College of Dentistry, University of Iowa, Iowa City, IA, United States., Withanage MHH; Division of Biostatistics and Computational Biology, College of Dentistry, University of Iowa, Iowa City, IA, United States., Comnick CL; Division of Biostatistics and Computational Biology, College of Dentistry, University of Iowa, Iowa City, IA, United States., Pendleton C; Division of Biostatistics and Computational Biology, College of Dentistry, University of Iowa, Iowa City, IA, United States., Dabdoub S; Division of Biostatistics and Computational Biology, College of Dentistry, University of Iowa, Iowa City, IA, United States.; College of Dentistry, Iowa Institute for Oral Health Research, University of Iowa, Iowa City, IA, United States., Ganesan S; College of Dentistry, Iowa Institute for Oral Health Research, University of Iowa, Iowa City, IA, United States.; Department of Periodontics, College of Dentistry, University of Iowa, Iowa City, IA, United States., Drake D; College of Dentistry, Iowa Institute for Oral Health Research, University of Iowa, Iowa City, IA, United States., Banas J; College of Dentistry, Iowa Institute for Oral Health Research, University of Iowa, Iowa City, IA, United States.; Department of Pediatric Dentistry, College of Dentistry, University of Iowa, Iowa City, IA, United States., Xie XJ; Division of Biostatistics and Computational Biology, College of Dentistry, University of Iowa, Iowa City, IA, United States.; College of Dentistry, Iowa Institute for Oral Health Research, University of Iowa, Iowa City, IA, United States.; Department of Preventative and Community Dentistry, College of Dentistry, University of Iowa, Iowa City, IA, United States., Zeng E; Division of Biostatistics and Computational Biology, College of Dentistry, University of Iowa, Iowa City, IA, United States.; College of Dentistry, Iowa Institute for Oral Health Research, University of Iowa, Iowa City, IA, United States.; Department of Preventative and Community Dentistry, College of Dentistry, University of Iowa, Iowa City, IA, United States.
Jazyk:	angličtina
Zdroj:	Frontiers in microbiology [Front Microbiol] 2022 Oct 20; Vol. 13, pp. 968304. Date of Electronic Publication: 2022 Oct 20 (Print Publication: 2022).
DOI:	10.3389/fmicb.2022.968304
Abstrakt:	The intersection between the human oral microbiome and oral health is an emerging area of study which has gained momentum over the last decade. This momentum has motivated a search for associations between the oral microbiome and oral cancer, in hopes of identifying possible biomarkers that facilitate earlier diagnosis and improved prognosis for patients with that disease. The present study examined the relationship between the microbiome in the human oral cavity and oral squamous cell carcinoma (OSCC). We searched the literature for case-control studies which focused on the relationship between the human oral microbiome and OSCC. We aggregated three types of data from these studies: bacteriome data at the genus level, predicted functional pathway data, and gene abundance data. From these data, we noted several microbial genera which may be associated with oral cancer status, including Fusobacterium . We also identified functional pathways which merit further investigation, including RNA degradation (ko03018) and primary immunodeficiency (ko05340). In addition, our analysis of gene abundance data identified the gene K06147 (ATP-binding cassette, subfamily B, bacterial) as being over abundant in OSCC samples. Our results are generalizations which identified some currents that we believe could guide further research. Our work faced several limitations related to the heterogeneity of the available data. Wide variation in methods for sample collection, methods for controlling for known behavioral risk factors, computing platform choice, and methods for case-control design all posed confounding factors in this work. We examined the current methods of data collection, data processing, and data reporting in order to offer suggestions toward the establishment of best practices within this field. We propose that these limitations should be addressed through the implementation of standardized data analytic practices that will conform to the rigor and reproducibility standards required of publicly funded research. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Peter, Withanage, Comnick, Pendleton, Dabdoub, Ganesan, Drake, Banas, Xie and Zeng.)
Databáze:	MEDLINE
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