ArticleGenes & diseases2022
Salivary microbiota may predict the presence of esophageal squamous cell carcinoma.
Article in Genes & diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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The trial behind it
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Exploring the Diagnostic and Predictive Value of Oral Microbiome in Esophageal Cancer: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2025Pooled it
- Correlation of Porphyromonas gingivalis with esophageal squamous cell carcinoma: a systematic review.Clinical oral investigations · 2024Pooled it
- A generalizable cross-continent prediction of esophageal squamous cell carcinoma using the oral microbiome.Communications medicine · 2026Article
- Plant-based diet quality is associated with esophageal mucosa-associated microbiome profiles and disease severity in a high-risk Chinese population.Journal of oral microbiology · 2026Article
- Early esophageal squamous neoplasia and the microbiome: evidence, mechanisms, and early-detection potential.Frontiers in microbiology · 2026Review
- A generalizable cross-continent prediction of esophageal squamous cell carcinoma using the oral microbiome.bioRxiv : the preprint server for biology · 2025Article
- Review
- Oral microbes and gastrointestinal cancers: new strategies and insights.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Review
- Crosstalk Between Oral Microbiome and Cancer: Emerging Trends and Insights.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025Article
- Non-invasive early detection on esophageal squamous cell carcinoma and precancerous lesions by microbial biomarkers combining epidemiological factors in China.Journal of gastroenterology · 2024Article
- Novel milestones for early esophageal carcinoma: From bench to bed.World journal of gastrointestinal oncology · 2024Article
- Noniatrogenic Meningitis Caused by Streptococcus salivarius Associated with Early Esophageal Cancer and Early Gastric Cancer.Internal medicine (Tokyo, Japan) · 2024Article
- Evaluation of the Oesophagogastric Cancer-Associated Microbiome: A Systematic Review and Quality Assessment.Cancers · 2023Review
- Biomarkers for Early Detection, Prognosis, and Therapeutics of Esophageal Cancers.International journal of molecular sciences · 2023Review
- Predictive value of the presence ofFrontiers in cellular and infection microbiology · 2022Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim is to explore the predictive value of salivary bacteria for the presence of esophageal squamous cell carcinoma (ESCC). Saliva samples were obtained from 178 patients with ESCC and 101 healthy controls, and allocated to screening and verification cohorts, respectively. In the screening phase, after saliva DNA was extracted, 16S rRNA V4 regions of salivary bacteria were amplified by polymerase chain reaction (PCR) with high-throughput sequencing. Highly expressed target bacteria were screened by Operational Taxonomic Units clustering, species annotation and microbial diversity assessment. In the verification phase, the expression levels of target bacteria identified in the screening phase were verified by absolute quantitative PCR (Q-PCR). Receiver operating characteristic (ROC) curves were plotted to investigate the predictive value of target salivary bacteria. LEfSe analysis revealed higher proportions of Fusobacterium, Streptococcus and Porphyromonas, and Q-PCR assay showed significantly higher numbers of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.