A blood-based circulating microbial metagenomic panel for early diagnosis and prognosis of oesophageal adenocarcinoma.

ABSTRACT:

Background

Emerging evidence indicates the potential clinical significance of specific microbial signatures as diagnostic and prognostic biomarkers, in multiple cancers. However, to date, no studies have systematically interrogated circulating metagenome profiling in oesophageal adenocarcinoma (EAC) patients, particularly as novel non-invasive, early detection, surveillance and prognostic classifiers.

Methods

Metagenome sequencing was performed on 81 serum specimens collected across EAC spectrum, with sequencing reads classified using Bracken and MetaPhlAn3. Followed by the Linear Discriminant Analysis effect size (LEfSe) method to identify microbial profiles between groups. Logistic regression and Kaplan-Meier analyses were used to build classifiers.

Results

A signif

SUBMITTER: Zaidi AH 

PROVIDER: S-EPMC9681745 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature