Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Theranostics. 2020 Sep 18;10(25):11595-11606. doi: 10.7150/thno.49515. eCollection 2020.
The oral microbiome may play an important role in colorectal carcinogenesis. However, few studies have investigated the association between oral microbiome and the development of colorectal cancer (CRC). We aimed to investigate whether oral health-colorectal tumor association has an underlying microbial basis, in the quest for novel non-invasive biomarkers for CRC. We collected oral swab samples from 161 patients with CRC, 34 patients with colorectal adenoma (CRA), and 58 healthy volunteers. The oral microbiota was assessed using 16S rRNA sequencing. We characterized oral microbiome, identified microbial markers, constructed and validated colorectal tumor (CRA and CRC) classifier. Oral microbial composition and diversity were significantly different among the three groups, and the CRA group had the highest diversity. Analysis of the functional potential of oral microbiota demonstrated that the pathway involving cell motility was overrepresented in the CRA and CRC groups relative to that in the healthy controls. Moreover, a random forest model was constructed based on oral microbial markers, which could distinguish the colorectal tumor groups from the healthy controls and achieve a powerful classification potential in the discovery and validation cohorts. This study suggests a potential association between oral microbiome dysbiosis and colorectal cancer. Oral microbiota-based biomarkers may be helpful in predicting the risks for the development of CRA and CRC.
口腔微生物组可能在结直肠肿瘤发生中起重要作用。然而,很少有研究调查口腔微生物组与结直肠癌(CRC)发展之间的关系。我们旨在研究口腔健康-结直肠肿瘤关联是否具有潜在的微生物基础,以寻求 CRC 的新型非侵入性生物标志物。我们收集了 161 例 CRC 患者、34 例结直肠腺瘤(CRA)患者和 58 例健康志愿者的口腔拭子样本。使用 16S rRNA 测序评估口腔微生物群。我们对口腔微生物组进行了表征,确定了微生物标志物,构建并验证了结直肠肿瘤(CRA 和 CRC)分类器。三组之间口腔微生物组成和多样性存在显著差异,CRA 组多样性最高。口腔微生物群功能潜力分析表明,与健康对照组相比,CRA 和 CRC 组中涉及细胞运动的途径被过度表达。此外,基于口腔微生物标志物构建了随机森林模型,可将结直肠肿瘤组与健康对照组区分开来,并在发现和验证队列中具有强大的分类潜力。本研究提示口腔微生物组失调与结直肠癌之间存在潜在关联。基于口腔微生物组的生物标志物可能有助于预测 CRA 和 CRC 发展的风险。