Tongue coating microbiome data distinguish patients with pancreatic head cancer from healthy controls

J Oral Microbiol. 2019 Jan 28;11(1):1563409. doi: 10.1080/20002297.2018.1563409. eCollection 2019.

Abstract

Background: The microbiota plays a critical role in the process of human carcinogenesis. Pancreatic head carcinoma (PHC)-associated tongue coating microbiome dysbiosis has not yet been clearly defined.Objective: Our aim is to reveal the bacterial composition shifts in the microbiota of the tongue coat of PHC patients.Design: The tongue coating microbiota was analyzed in 30 PHC patients and 25 healthy controls using 16S rRNA gene sequencing technology.Results: The microbiome diversity of the tongue coat in PHC patients was significantly increased, as shown by the Shannon, Simpson, inverse Simpson, Obs and incidence-based coverage estimators. Principal component analysis revealed that PHC patients were colonized by remarkably different tongue coating microbiota than healthy controls and liver cancer patients. Linear discriminant analysis effect size revealed that Leptotrichia, Fusobacterium,Rothia, Actinomyces, Corynebacterium, Atopobium, Peptostreptococcus, Catonella, Oribacterium, Filifactor, Campylobacter, Moraxella and Tannerella were overrepresented in the tongue coating of PHC patients, and Haemophilus, Porphyromonas and Paraprevotella were enriched in the tongue coating microbiota of healthy controls. Strikingly, Haemophilus, Porphyromonas, Leptotrichia and Fusobacterium could distinguish PHC patients from healthy subjects, and Streptococcus and SR1 could distinguish PHC patients from liver cancer patients. Conclusions: These findings identified the microbiota dysbiosis of the tongue coat in PHC patients, and provide insight into the association between the human microbiome and pancreatic cancer.

Keywords: Miseq sequencing; Pancreatic head carcinoma; microbiome dysbiosis; tongue coat.

Grants and funding

This work was supported by the National Natural Science Foundation of China [grant No. 81501431; 81874038; 81771498; 81600506; 81671557; 81672422 and 81721091]; National S&T Major Project of China [grant No. 2018ZX10301201-008, 2017ZX10203205 and SQ2018YFC200043]; China Postdoctoral Science Foundation [grant No.2017464]; Major program of National Natural Science Foundation of China [grant No.91542205], and Natural Science Foundation of Zhejiang Province [grant No.LY15H030012; LY16H270001].