Oral microbial profile polymorphisms predict early Siewert II adenocarcinoma of esophagogastric junction.

ABSTRACT:

Background

Dysbiosis of the oral microbiota has been shown to be associated with the development of esophageal and gastric cancer. Nevertheless, little research explores how oral microbiota might contribute to the occurrence and progression of adenocarcinoma of the esophagogastric junction (AEG).

Method

16 S rRNA V3-V4 amplicon sequencing was performed on 106 oral microbiota samples from 55 AEG patients and 51 controls. To determine key microbial indicators, Linear Discriminant Analysis Effect Size (LEfSe) analysis, Random Forest model, and species composition heatmaps were utilised. Spearman correlation analysis assessed the relationship between oral microbiota and clinicopathological variables. PICRUSt2 was employed to predict microbial functions and investigate the associ

SUBMITTER: Zou F 

PROVIDER: S-EPMC12628901 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature