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Analysis of oral microbiota in Japanese oral cancer patients using 16S rRNA sequencing

机译:使用16S rRNA测序的日语口腔癌患者口腔微生物群分析

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Objectives: It is important to determine the cause of increasing oral cancer occurrence and mortality rates in Japan, because the mortality rate has recently decreased in other developed countries. The impact of microbiota in carcinogenesis, especially in the digestive tract has been reported. This study aimed to clarify the relationship between oral cancer and oral microbiota in Japanese patients. Methods: DNA was extracted from salivary samples of 60 oral cancer patients and 80 non-cancer individuals as controls. We performed metagenomic analysis using 16S rRNA amplicon sequencing. Statistical analysis in this study was performed using R (version 3.5.0). Results: Oral cancer patients showed higher alpha-diversity compared to the control group, and the beta-di-versity between the two groups differed significantly. Further, there was a significant difference in the abundance ratio of bacterial genera between the two groups. Peptostreptococcus, Fusobacterium, Allo-prevotella, and Capnocytophaga were more abundant in the cancer group compared to the control, whereas Rothia and Haemophilus were less abundant (p < 0.01). A negative correlation in the microbiota composition was confirmed between the operational taxonomic units (OTU) of genus Rothia and T-stage progression using the TNM classification method. We performed logistic regression analysis to investigate the impact factor for the oral cancer group, and the result showed that Chao 1 index and sex are statistically significant variables.
机译:目标:确定日本口服癌症发生和死亡率率增加的原因是重要的,因为其他发达国家最近的死亡率已经下降。据报道,微生物群在致癌中的影响,特别是在消化道中。本研究旨在阐明日本患者口腔癌和口服微生物群的关系。方法:将DNA从60个口服癌症患者的唾液样品中提取,80例非癌症个体作为对照。我们使用16S rRNA扩增子测序进行了雌噬菌素分析。使用R(3.5.0版)进行本研究中的统计分析。结果:与对照组相比,口腔癌患者表现出更高的α-多样性,两组之间的β-二版本显着不同。此外,两组之间的细菌属性的丰度差异显着差异。与对照相比,癌症组患有皮肤病球菌,Fusobacterium,Allo-Phelotell和Capnocytophaga更丰富,而Rothia和Haemophilus较少(P <0.01)。使用TNM分类方法确认微生物群组合物中的阴性相关性分类学和T-阶段进展之间的效果。我们对逻辑回归分析进行了探讨口腔癌组的影响因素,结果表明,昭1指数和性别是统计上显着的变量。

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