Dysbiosis of gut microbiota in patients with esophageal cancer.

Microb Pathog

Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China. Electronic address:

Published: January 2021

AI Article Synopsis

  • - The study explored the gut microbiota profiles in patients with esophageal cancer (EC) compared to healthy controls, finding that EC patients had higher microbial richness but similar evenness in their gut flora.
  • - Significant differences in bacterial composition were observed, with increased levels of Firmicutes and Actinobacteria and decreased levels of Bacteroidetes in EC patients; specific genera like Streptococcus and Bifidobacterium were notably elevated in those with EC.
  • - The research identified potential microbiota biomarkers for diagnosing EC, with ROC analysis indicating a high accuracy for certain bacteria, particularly Lachnospira, which may aid in future diagnosis and treatment strategies.

Article Abstract

A number of studies have identified that gut microbiota influences the development of cancer. However, there is little known about gut microbiota and esophageal cancer (EC). The aim of this study was to investigate the gut microbiota profile associated with EC. In this study, 23 patients with EC and 23 sex- and age-matched healthy controls (NC) were recruited between July 2019 and August 2019 at Huai'an First People's Hospital (Huai'an, China) and the gut microbiota was analyzed by 16S rRNA gene sequencing of fresh stool samples. We found that the microbial richness of intestinal flora in patients with EC were higher than NC, whereas evenness did not change obviously. Principal coordinate analysis (PCoA) and Unweighted Pair Group Method with Arithmetic Mean (UPGMA) analysis both revealed that a distinct separation in bacterial community composition between the EC and NC. At the phylum level, the EC group showed significantly higher abundances of Firmicutes and Actinobacteria, but a lower Bacteroidetes than NC. At the genus level, a significantly increased abundance of Streptococcus, Bifidobacterium, Subdoligranulum, Blautia, Romboutsia, Collinsella, Paeniclostridium, Dorea, and Atopobium were observed in EC patients, while Lachnospira, Bacteroides, Agathobacter, Lachnoclostridium, Parabacteroides, Paraprevotella, Butyricicoccus, Tyzzerella, Fusicatenibacter, and Sutterella were reduced. Receiver operating characteristic (ROC) analysis revealed that Lachnospira, Bacteroides, Streptococcus, and Bifidobacterium both achieved a high accuracy in EC diagnosis (area under the curve was more than 0.85), and the Lachnospira was found to be the best classifier. This study firstly characterized the gut microbiota composition of EC patients and screened out the optimal potential microbiota biomarkers for EC diagnosis. It may provide a fundamental reference for further studies on the gut microbiome for the diagnosis and treatment of EC.

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Source
http://dx.doi.org/10.1016/j.micpath.2020.104709DOI Listing

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