Logo image
Back
Systematic review and meta-analysis of oral squamous cell carcinoma associated oral microbiome
Journal article   Open access   Peer reviewed

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

Tabitha K. Peter, Miyuraj H. H. Withanage, Carissa L. Comnick, Chandler Pendleton, Shareef Dabdoub, Sukirth Ganesan, David Drake, Jeffrey Banas, Xian Jin Xie and Erliang Zeng
Frontiers in microbiology, Vol.13, 968304
10/20/2022
DOI: 10.3389/fmicb.2022.968304
PMCID: PMC9632422
PMID: 36338051
url
https://doi.org/10.3389/fmicb.2022.968304View
Published (Version of record) Open Access

Abstract

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.
 Microbiology Oral Cancer ABC transport data collecting Fusobacterium meta-analysis oral health oral microbiome oral squamous cell carcinoma

Details

Metrics

42 Record Views
12 Times Cited - Web of Science
Logo image