Abstract

336 Background: The high incidence of esophageal adenocarcinoma (EAC) remains a major clinical challenge as majority of these cases are diagnosed at advanced stages, with poor survival outcomes. Emerging evidence indicate intriguing associations between unique microbial profiles and cancer pathogenesis. More recent data also indicates the potential clinical significance of specific microbial signatures as diagnostic and prognostic biomarkers. However, to date, no studies have systematically interrogated circulating metagenome profiling in EAC patients, particularly as non-invasive, early detection, surveillance and prognostic classifiers that may improve the current management paradigms. Methods: Metagenome sequencing was performed on 81 serum specimens collected from 51 EAC, 10 high grade dysplasia (HGD), 10 Barretts’s esophagus (BE), and 10 gastro-esophageal reflux disease (GERD) patients, respectively. Sequencing reads were classified using Bracken and MetaPhlAn3 to determine relative abundance between various classes. The Linear Discriminant Analysis effect size (LEfSe) method was performed to identify potential conserved and discrete microbial profiles between groups. Logistic regression and Kaplan-Meier analyses were used to build a model according to clinical and metagenomic classifiers to examine the diagnostic and prognostic potential of the identified metagenomic signature. Results: A significant loss of alpha and beta diversity was identified in serum specimens from EAC patients. We observed a shift in microbial taxa between each group – at the phylum, genus, and species level – with Lactobacillus sakei as the most prominent species in GERD vs. other patient groups. Interestingly, LEfSe analysis identified a complete loss of Lactobacillus ( L.Sakei and L. Curvatus), Collinsella stercoris and Bacteroides stercoris, but conversely a significant increase in Escherichia coli in patients with EAC. Finally, we developed a metagenome panel that discriminated EAC from GERD patients with an AUC value of 0.89 (95% CI, 0.78 – 0.95), and this panel in conjunction with the TNM stage was a robust predictor of overall survival (≥24 months; AUC = 0.84 [95% CI 0.66 – 0.92]) and an accompanying hazard ratio (HR) of 6.23 (95% CI, 2.65 – 14.46, P<0.001). Conclusions: This study describes unique blood-based microbial profiles in patients with GERD, BE, HGD, and EAC, that are further utilized to establish a novel circulating diagnostic and prognostic metagenomic signature in EAC.

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