Beijing Cheer Land Biotechnology Co., Ltd., CL Investment Group, Beijing, China.
Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Front Cell Infect Microbiol. 2019 Jul 3;9:205. doi: 10.3389/fcimb.2019.00205. eCollection 2019.
In this study, a next-generation sequencing strategy on 16 ribosomal RNA (16 rRNA) gene was employed to analyze 70 oral samples from 32 patients with throat cancer, nine patients with vocal cord polyp, and 29 healthy individuals (normal controls). Using this strategy, we demonstrated, for the first time, that the salivary microbiota of cancer patients were significantly different from those of patients with a polyp and healthy individuals. We observed that the beta diversity of the cancer group was divergent from both the normal and polyp groups, while alpha-diversity indices such as the Chao1 estimator ( = 8.1e-05), Simpson ( = 0.0045), and Shannon ( = 0.0071) were significantly reduced in cancer patients compared with patients containing a polyp and normal healthy individuals. Linear discriminant analysis (LDA) and Kruskal-Wallis test analyses and real-time quantitative polymerase chain reaction (qPCR) verification test revealed that the genera , and were significantly enriched in the throat cancer group compared with the vocal cord polyp and normal control groups (score value >2). Finally, diagnostic models based on putatively important constituent bacteria were constructed with 87.5% accuracy [area under the curve (AUC) = 0.875, 95% confidence interval (CI): 0.695-1]. In summary, in this study we characterized, for the first time, the oral microbiota of throat cancer patients without smoking history. We speculate that these results will help in the pathogenic mechanism and early diagnosis of throat cancer.
在这项研究中,我们采用了下一代测序策略对 16S 核糖体 RNA(16 rRNA)基因进行了测序,共分析了 32 例喉癌患者、9 例声带息肉患者和 29 例健康个体(正常对照组)的 70 份口腔样本。通过这种策略,我们首次证明了癌症患者的唾液微生物组与息肉患者和健康个体的唾液微生物组有显著差异。我们观察到癌症组的 beta 多样性与正常组和息肉组都有分歧,而癌症患者的 alpha 多样性指数,如 Chao1 估计值(=8.1e-05)、辛普森(=0.0045)和香农(=0.0071)与息肉患者和健康个体相比显著降低。线性判别分析(LDA)和 Kruskal-Wallis 检验分析以及实时定量聚合酶链反应(qPCR)验证试验表明,与声带息肉和正常对照组相比,属、和属在喉癌组中显著富集(分值>2)。最后,基于可能重要的组成细菌构建了诊断模型,其准确性为 87.5%[曲线下面积(AUC)=0.875,95%置信区间(CI):0.695-1]。总之,在这项研究中,我们首次描述了无吸烟史的喉癌患者的口腔微生物组。我们推测这些结果将有助于深入了解喉癌的发病机制和早期诊断。