Oral microbiome and pancreatic cancer
Ai-Lin Wei, Li Mao, Guoqing Li, Xuan Wang, Wei-Ming Hu, Zhenlu Li, Jue Yuan, Hong-Ying Liu, Li-Li Zhou, Ka Li, Ang Li, Mei R. Fu
Abstract
BACKGROUND: Microbiota profiles differ between patients with pancreatic cancer and healthy people, and understanding these differences may help in early detection of pancreatic cancer. Saliva sampling is an easy and cost-effective way to determine microbiota profiles compared to fecal and tissue sample collection. AIM: To investigate the saliva microbiome distribution in patients with pancreatic adenocarcinoma (PDAC) and the role of oral microbiota profiles in detection and risk prediction of pancreatic cancer. METHODS: = 69). Bacterial taxa were identified by 16S ribosomal ribonucleic acid gene sequencing, and a linear discriminant analysis effect size algorithm was used to identify differences in taxa. Operational taxonomic unit values of all selected taxa were converted into a normalized Z-score, and logistic regressions were used to calculate risk prediction of pancreatic cancer. RESULTS: = 0.036). CONCLUSION: may be specific for patients living in Sichuan Province, southwest China. Symptomatic patients had different bacteria profiles than asymptomatic patients. Combined symptom and microbiome evaluation may help in the early detection of pancreatic cancer.