In this study, we investigated whether salivary bacterial profiles might provide useful biomarkers for early detection of pancreatic cancer. Using high-throughput sequencing of bacterial small subunit ribosomal RNA (16S rRNA) gene, we characterized the salivary microbiota of patients with pancreatic cancer and compared them to healthy patients. A total of 146 patients were enrolled at UCSD Moores Cancer Center, where saliva and demographic data were collected from each patient. Of these, we analyzed the salivary microbiome of 108 patients: 8 had been diagnosed with pancreatic cancer, 78 with other diseases, and 22 were classified as non-diseased (healthy) controls. Bacterial 16S rRNA sequences were amplified directly from salivary DNA extractions and subjected to high-throughput sequencing (HTS). Several bacterial genera differed in abundance in patients with pancreatic cancer. This webinar will be focusing on the methods used, from gathering samples to analyzing data in the saliva. Showing a nice demonstration that bacteria abundance profiles in saliva are useful biomarkers for pancreatic cancer even though much larger patient studies are needed to verify their predictive utility.