Characteristics of the oral and gastric microbiome in patients with early-stage intramucosal esophageal squamous cell carcinoma

• Published in: BMC microbiology 2024-03, Vol.24 (1), p.88-88, Article 88
• Main Authors: Chen, Han, Jiang, Xingzhou, Zhu, Fengyi, Yang, Ruoyun, Yu, Xin, Zhou, Xiaoying, Tang, Nana
• Format: Article
• Language: English
• Subjects: Amplicon sequencing analysis; Analysis; Animal models; Antibiotics; Autoimmune diseases; Biomarkers; Biopsy; Cancer; Care and treatment; Correlation analysis; Diagnosis; Discriminant analysis; Disease; Dysbacteriosis; Dysbiosis; Early esophageal cancer; Endoscopy; Esophageal cancer; Esophageal carcinoma; Esophageal Neoplasms; Esophageal Squamous Cell Carcinoma; Esophagus; Gastric microbiome; Gastrointestinal Microbiome; Genera; Health aspects; Humans; Intramucosal esophageal squamous carcinoma; Leptotrichia; Microbiomes; Microbiota; Microbiota (Symbiotic organisms); Microorganisms; Mouth; Oral carcinoma; Oral cavity; Oral microbiome; Pathogenesis; Patients; Porphyromonas; Porphyromonas - genetics; Probiotics; RNA; RNA, Ribosomal, 16S - genetics; rRNA; Sample size; Squamous cell carcinoma; Streptococcus infections; Tumors
• ISSN: 1471-2180; 1471-2180
• DOI: 10.1186/s12866-024-03233-4

Oral microbiome dysbacteriosis has been reported to be associated with the pathogenesis of advanced esophageal cancer. However, few studies investigated the potential role of oral and gastric microbiota in early-stage intramucosal esophageal squamous carcinoma (EIESC). A total of 104 samples were collected from 31 patients with EIESC and 21 healthy controls. The compositions of oral and gastric microbiota were analyzed using 16 S rRNA V3-V4 amplicon sequencing. Linear discriminant analysis effect size (LEfSe) analysis was performed to assess taxonomic differences between groups. The correlation between oral microbiota and clinicopathological factors was evaluated using Spearman correlation analysis. Additionally, co-occurrence networks were established and random forest models were utilized to identify significant microbial biomarkers for distinguishing between the EIESC and control groups. A total of 292 oral genera and 223 species were identified in both EIESC and healthy controls. Six oral genera were remarkably enriched in EIESC groups, including the genera Porphyromonas, Shigella, Subdoligranulum, Leptotrichia, Paludibacter, and Odoribacter. LEfSe analysis identified genera Porphyromonas and Leptotrichia with LDA scores > 3. In the random forest model, Porphyromonas endodontalis ranked the top microbial biomarker to differentiate EIESC from controls. The elimination rate of Porphyromonas endodontalis from the oral cavity to the stomach was also dramatically decreased in the EIESC group than controls. In the microbial co-occurrence network, Porphyromonas endodontalis was positively correlated with Prevotella tannerae and Prevotella intermedia and was negatively correlated with Veillonella dispar. Our study potentially indicates that the dysbacteriosis of both the oral and gastric microbiome was associated with EIESC. Larger scale studies and experimental animal models are urgently needed to confirm the possible role of microbial dysbacteriosis in the pathogenesis of EIESC. (Chinese Clinical Trial Registry Center, ChiCTR2200063464, Registered 07 September 2022, https://www.chictr.org.cn/showproj.html?proj=178563).