Oral Microbiota and Risk for Esophageal Squamous Cell Carcinoma in a High-Risk Area of China

• Published in: PloS one Vol. 10; no. 12; p. e0143603
• Main Authors: Chen, Xingdong, Winckler, Björn, Lu, Ming, Cheng, Hongwei, Yuan, Ziyu, Yang, Yajun, Jin, Li, Ye, Weimin
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 07.12.2015; Public Library of Science (PLoS)
• Subjects: Aged; Alcohol; Carcinoma, Squamous Cell - microbiology; Carcinoma, Squamous Cell - pathology; Care and treatment; Case-Control Studies; China; Collaboration; Colorectal cancer; Comparative analysis; Complications and side effects; Dysplasia; Education; Endoscopy; Epidemiology; Esophageal cancer; Esophageal Neoplasms - microbiology; Esophagus; Female; Gastric cancer; Genetic engineering; Health risk assessment; Health sciences; Hospitals; Humans; Laboratories; Life sciences; Male; Microbial activity; Microbiomes; Microbiota; Microbiota (Symbiotic organisms); Microbiota - physiology; Microorganisms; Middle Aged; Mouth - microbiology; Mycoplasma; Oral Health; Oral hygiene; Physiological aspects; Questionnaires; Regression analysis; Regression models; Relative abundance; Risk; Risk Factors; rRNA 16S; Saliva; Saliva - microbiology; Squamous cell carcinoma; Stomach cancer; Studies; China; Sweden
• DOI: 10.1371/journal.pone.0143603
• ISSN: 1932-6203

Poor oral health has been linked with an increased risk of esophageal squamous cell carcinoma (ESCC). We investigated whether alteration of oral microbiota is associated with ESCC risk. Fasting saliva samples were collected from 87 incident and histopathologicallly diagnosed ESCC cases, 63 subjects with dysplasia and 85 healthy controls. All subjects were also interviewed with a questionnaire. V3-V4 region of 16S rRNA was amplified and sequenced by 454-pyrosequencing platform. Carriage of each genus was compared by means of multivariate-adjusted odds ratios derived from logistic regression model. Relative abundance was compared using Metastats method. Beta diversity was estimated using Unifrac and weighted Unifrac distances. Principal coordinate analysis (PCoA) was applied to ordinate dissimilarity matrices. Multinomial logistic regression was used to compare the coordinates between different groups. ESCC subjects had an overall decreased microbial diversity compared to control and dysplasia subjects (P<0.001). Decreased carriage of genera Lautropia, Bulleidia, Catonella, Corynebacterium, Moryella, Peptococcus and Cardiobacterium were found in ESCC subjects compared to non-ESCC subjects. Multinomial logistic regression analyses on PCoA coordinates also revealed that ESCC subjects had significantly different levels for several coordinates compared to non-ESCC subjects. In conclusion, we observed a correlation between altered salivary bacterial microbiota and ESCC risk. The results of our study on the saliva microbiome are of particular interest as it reflects the shift in microbial communities. Further studies are warranted to verify this finding, and if being verified, to explore the underlying mechanisms.