Shenzhen Baoan Women's and Children's Hospital, Jinan University, 518102 Shenzhen, China.
Bioinformatics Center, Department of Microbiology, Army Medical University, 400038 Chongqing, China.
Biomed Res Int. 2020 Oct 31;2020:4712498. doi: 10.1155/2020/4712498. eCollection 2020.
Pancreatic cancer (PC) is highly malignant and lacks an effective therapeutic schedule, hence that early diagnosis is of great importance to achieve a good prognosis. Oral bacteria have been proved to be associated with pancreatic cancer, but the specific mechanism has not been comprehensively illustrated. In our study, thirty-seven saliva samples in total were collected with ten from PC patients, seventeen from benign pancreatic disease (BPD) patients, and ten from healthy controls (HC). The oral bacterial community of HC, PC, and BPD groups was profiled by 16S rDNA high-throughput sequencing and bioinformatic methods. As shown by Simpson, Inverse Simpson, Shannon and Heip, oral microbiome diversity of HC, BPD and PC groups is in increasing order with the BPD and PC groups significantly higher than the HC group. Principal coordinate analysis (PCoA) suggested that grouping by PC, BPD and HC was statistically significant. The linear discriminant analysis effect size (LEfSe) identified high concentrations of and low concentrations of as specific risk factors for PC. Furthermore, predicted functions showed changes such as RNA processing and modification as well as the pathway of NOD-like receptor signaling occurred in both PC and HC groups. Conclusively, our findings have confirmed the destruction of oral bacterial community balance among patients with PC and BPD and indicated the potential of and as diagnostic biomarkers of PC.
胰腺癌（PC）恶性程度高，缺乏有效的治疗方案，因此早期诊断对获得良好预后非常重要。口腔细菌已被证明与胰腺癌有关，但具体机制尚未得到全面阐述。在我们的研究中，共采集了 37 份唾液样本，其中 10 份来自 PC 患者，17 份来自良性胰腺疾病（BPD）患者，10 份来自健康对照（HC）。采用 16S rDNA 高通量测序和生物信息学方法对 HC、PC 和 BPD 组的口腔细菌群落进行了分析。如图所示，HC、BPD 和 PC 组的 Simpson、Inverse Simpson、Shannon 和 Heip 表明，HC、BPD 和 PC 组的口腔微生物多样性呈递增趋势，BPD 和 PC 组明显高于 HC 组。主坐标分析（PCoA）表明，按 PC、BPD 和 HC 分组具有统计学意义。线性判别分析效应量（LEfSe）确定了 和 作为 PC 特定危险因素的高浓度和低浓度。此外，预测功能显示，PC 和 HC 组的 RNA 加工和修饰以及 NOD 样受体信号通路发生了变化。总之，我们的研究结果证实了 PC 和 BPD 患者口腔细菌群落平衡的破坏，并表明 和 作为 PC 诊断生物标志物的潜力。
