Institute of Medicine, Chung Shan Medical University, Taichung 402, Taiwan; Department of Medical Research, Chung Shan Medical University Hospital, Taichung 402, Taiwan.
Department of Biological Science and Technology, National Chiao Tung University, Hsinchu 300, Taiwan; Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsin-Chu 300, Taiwan.
Oral Oncol. 2018 Feb;77:1-8. doi: 10.1016/j.oraloncology.2017.12.005. Epub 2017 Dec 9.
Both genetic and environmental factors are conceivably required to assess the prognosis of oral squamous cell carcinoma (OSCC), yet little is known regarding the relationship between oral microbiome and the mutational spectrum of OSCC.
Here, we used 16S rRNA amplicon sequencing to study the composition of oral microorganisms in OSCC patients, whose cancer mutational profiles were previously defined by whole-exome sequencing, to evaluate the relationship between oral microbiome and the mutational changes in OSCC.
Analyzing the contributions of the five mutational signatures extracted from the primary tumors revealed three groups of OSCC (mutational signature cluster, MSC1-3) that were significantly associated with demographic and clinical features. Taxonomic analysis of the predominant phyla in salivary samples showed variation in the relative abundance of Firmicutes and Bacteroidetes in the three MSC groups. In addition, significant differences in bacterial species richness (alpha diversity) and slight sample-to-sample dissimilarities in bacterial community structures (beta diversity) were noted among different MSC groups. Further, predicting the functional capabilities of microbial communities by reconstruction of unobserved states showed that many pathways related to cell motility were differentially enriched among the three MSC groups.
Collectively, these results indicate a potential association of oral microbiome with the mutational changes in OSCC.
遗传和环境因素都可能影响口腔鳞状细胞癌(OSCC)的预后评估,但目前对于口腔微生物组与 OSCC 突变谱之间的关系知之甚少。
在这里,我们使用 16S rRNA 扩增子测序来研究 OSCC 患者口腔微生物的组成,这些患者的癌症突变谱先前通过全外显子组测序定义,以评估口腔微生物组与 OSCC 突变变化之间的关系。
分析从原发性肿瘤中提取的五个突变特征的贡献,揭示了三组与人口统计学和临床特征显著相关的 OSCC(突变特征聚类 MSC1-3)。唾液样本中主要菌门的分类分析显示,在三个 MSC 组中,厚壁菌门和拟杆菌门的相对丰度存在差异。此外,不同 MSC 组之间还存在细菌丰富度(alpha 多样性)的显著差异和细菌群落结构(beta 多样性)的轻微样本间差异。此外,通过未观察到的状态重建来预测微生物群落的功能能力表明,三个 MSC 组之间存在许多与细胞运动相关的途径差异富集。
综上所述,这些结果表明口腔微生物组与 OSCC 的突变变化之间可能存在关联。