Signatures within esophageal microbiota with progression of esophageal squamous cell carcinoma

OBJECTIVE: Esophageal squamous cell carcinoma (ESCC) is one of the dominant malignances worldwide, but currently there is less focus on the microbiota with ESCC and its precancerous lesions. METHODS: Paired esophageal biopsy and swab specimens were obtained from 236 participants in Linzhou, China. Data from 16S ribosomal RNA gene sequencing were processed using quantitative insights into microbial ecology (QIIME2) and R Studio to evaluate differences. The Wilcoxon rank sum test and Kruskal-Wallis rank sum test were used to compare diversity and characteristic genera by specimens and participant groups. Ordinal logistic regression model was used to build microbiol prediction model. RESULTS: into model, the prediction performance was the ideal one, of which the area under the curve (AUC) was 0.738. CONCLUSIONS: has the potential to predict the progression of ESCC, which is needed to confirm by large-scale, prospective cohort studies.