Mucosal microbiome dysbiosis in gastric carcinogenesis

TLDR

The study aimed to characterize microbial changes across histological stages of gastric tumorigenesis. The authors performed 16S rRNA sequencing of gastric mucosal samples from 81 patients spanning superficial gastritis, atrophic gastritis, intestinal metaplasia, and gastric cancer, and validated the findings in an independent cohort of 126 patients. They identified significant dysbiosis in intestinal metaplasia and gastric cancer, with five bacterial taxa enriched and central in the microbial network, which distinguished cancer from gastritis with AUCs of 0.82 and 0.81 in discovery and validation cohorts, and observed stronger microbial interactions in H.

Abstract

Objectives We aimed to characterise the microbial changes associated with histological stages of gastric tumourigenesis. Design We performed 16S rRNA gene analysis of gastric mucosal samples from 81 cases including superficial gastritis (SG), atrophic gastritis (AG), intestinal metaplasia (IM) and gastric cancer (GC) from Xi’an, China, to determine mucosal microbiome dysbiosis across stages of GC. We validated the results in mucosal samples of 126 cases from Inner Mongolia, China. Results We observed significant mucosa microbial dysbiosis in IM and GC subjects, with significant enrichment of 21 and depletion of 10 bacterial taxa in GC compared with SG (q<0.05). Microbial network analysis showed increasing correlation strengths among them with disease progression (p<0.001). Five GC-enriched bacterial taxa whose species identifications correspond to Peptostreptococcus stomatis , Streptococcus anginosus , Parvimonas micra , Slackia exigua and Dialister pneumosintes had significant centralities in the GC ecological network (p<0.05) and classified GC from SG with an area under the receiver-operating curve (AUC) of 0.82. Moreover, stronger interactions among gastric microbes were observed in Helicobacter pylori -negative samples compared with H. pylori -positive samples in SG and IM. The fold changes of selected bacteria, and strengths of their interactions were successfully validated in the Inner Mongolian cohort, in which the five bacterial markers distinguished GC from SG with an AUC of 0.81. Conclusions In addition to microbial compositional changes, we identified differences in bacterial interactions across stages of gastric carcinogenesis. The significant enrichments and network centralities suggest potentially important roles of P. stomatis , D. pneumosintes , S. exigua , P. micra and S. anginosus in GC progression.