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Microbiomic differences in tumor and paired-normal tissue in head and neck squamous cell carcinomas

While the role of the gut microbiome in inflammation and colorectal cancers has received much recent attention, there are few data to support an association between the oral microbiome and head and neck squamous cell carcinomas. Prior investigations have been limited to comparisons of microbiota obt...

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Bibliographic Details
Published in:Genome medicine 2017-02, Vol.9 (1), p.14, Article 14
Main Authors: Wang, Hannah, Funchain, Pauline, Bebek, Gurkan, Altemus, Jessica, Zhang, Huan, Niazi, Farshad, Peterson, Charissa, Lee, Walter T, Burkey, Brian B, Eng, Charis
Format: Article
Language:English
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Summary:While the role of the gut microbiome in inflammation and colorectal cancers has received much recent attention, there are few data to support an association between the oral microbiome and head and neck squamous cell carcinomas. Prior investigations have been limited to comparisons of microbiota obtained from surface swabs of the oral cavity. This study aims to identify microbiomic differences in paired tumor and non-tumor tissue samples in a large group of 121 patients with head and neck squamous cell carcinomas and correlate these differences with clinical-pathologic features. Total DNA was extracted from paired normal and tumor resection specimens from 169 patients; 242 samples from 121 patients were included in the final analysis. Microbiomic content of each sample was determined using 16S rDNA amplicon sequencing. Bioinformatic analysis was performed using QIIME algorithms. F-testing on cluster strength, Wilcoxon signed-rank testing on differential relative abundances of paired tumor-normal samples, and Wilcoxon rank-sum testing on the association of T-stage with relative abundances were conducted in R. We observed no significant difference in measures of alpha diversity between tumor and normal tissue (Shannon index: p = 0.13, phylogenetic diversity: p = 0.42). Similarly, although we observed statistically significantly differences in both weighted (p = 0.01) and unweighted (p = 0.04) Unifrac distances between tissue types, the tumor/normal grouping explained only a small proportion of the overall variation in the samples (weighted R  = 0.01, unweighted R  
ISSN:1756-994X
1756-994X
DOI:10.1186/s13073-017-0405-5