Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Kyung Hee University, #892 Dongnamro, Gangdon-gu, Seoul, 05278, Republic of Korea.
Department of Oral and Maxillofacial Surgery, School of Dentistry, Kyung Hee University, Seoul, Republic of Korea.
Sci Rep. 2021 Nov 30;11(1):23176. doi: 10.1038/s41598-021-02638-9.
Oral microbiota can alter cancer susceptibility and progression by modulating metabolism and inflammation. We assessed the association between the oral microbiome and lymph node (LN) metastasis in oral squamous cell carcinoma (OSCC). We collected a total of 54 saliva samples from patients with OSCC before surgery. LN metastasis was assessed based on postoperative pathological examination. We used QIIME2, linear discriminant analysis effect size (LEfSe), and PICRUSt2 methods to analyze microbial dysbiosis. A random forest classifier was used to assess whether the oral microbiome could predict LN metastasis. Among the 54 OSCC samples, 20 had LN metastasis, and 34 had no evidence of metastasis. There was a significant difference in β-diversity between the metastasis and no metastasis groups. Through LEfSe analysis, the metastasis group was enriched in the genera Prevotella, Stomatobaculum, Bifidobacterium, Peptostreptococcaceae, Shuttleworthia and Finegoldia. Pathways related to signal peptidase II were predominant in the no metastasis group. The RF model showed a modestly high accuracy for predicting metastasis. Differences in microbial community composition and functions were observed in the oral microbiome of patients with OSCC with and without LN metastasis. However, the finding that specific taxa may be associated with LN metastasis should be verified in a further prospective study.
口腔微生物组通过调节代谢和炎症来改变癌症的易感性和进展。我们评估了口腔微生物组与口腔鳞状细胞癌(OSCC)中淋巴结(LN)转移之间的关联。我们共收集了 54 例术前 OSCC 患者的唾液样本。根据术后病理检查评估 LN 转移情况。我们使用 QIIME2、线性判别分析效应大小(LEfSe)和 PICRUSt2 方法分析微生物失调。使用随机森林分类器评估口腔微生物组是否可以预测 LN 转移。在 54 例 OSCC 样本中,有 20 例发生 LN 转移,34 例无转移证据。转移组和无转移组的β多样性存在显著差异。通过 LEfSe 分析,转移组中普雷沃氏菌属、Stomatobaculum 属、双歧杆菌属、双歧杆菌科、穿梭菌属和费氏细球菌属丰度增加。无转移组中信号肽酶 II 相关途径占主导地位。RF 模型对预测转移具有中等偏高的准确性。在有和没有 LN 转移的 OSCC 患者的口腔微生物组中观察到微生物群落组成和功能的差异。然而,特定分类群可能与 LN 转移相关的发现应在进一步的前瞻性研究中得到验证。