Systematic analyses uncover robust salivary microbial signatures and host-microbiome perturbations in oral squamous cell carcinoma

The oral cavity hosts a diverse microbial community that plays a crucial role in systemic and oral health. Accumulated research has investigated significant differences in the saliva microbiota associated with oral cancer, suggesting that microbiome dysbiosis may contribute to the pathogenesis of or...

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Published inmSystems Vol. 10; no. 2; p. e0124724
Main Authors Han, Zewen, Hu, Yichen, Lin, Xin, Cheng, Hongyu, Dong, Biao, Liu, Xuan, Wu, Buling, Xu, Zhenjiang Zech
Format Journal Article
LanguageEnglish
Published United States American Society for Microbiology 18.02.2025
Subjects
age
Biomarkers
Cancer
Carcinoma, Squamous Cell - microbiology
Clinical Microbiology
Dysbacteriosis
Dysbiosis - microbiology
Female
Gender
Host Microbial Interactions
Humans
Invasiveness
Learning algorithms
Machine learning
Male
Malignancy
Maxillofacial
Meta-analysis
Microbiomes
Microbiota
Microorganisms
Mouth Neoplasms - microbiology
Oral carcinoma
Oral cavity
Oral squamous cell carcinoma
Pathogenesis
Research Article
Saliva
Saliva - microbiology
salivary microbiome
Squamous cell carcinoma
Squamous Cell Carcinoma of Head and Neck - microbiology
meta-analysis
oral squamous cell carcinoma
gender
salivary microbiome
age
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Summary:The oral cavity hosts a diverse microbial community that plays a crucial role in systemic and oral health. Accumulated research has investigated significant differences in the saliva microbiota associated with oral cancer, suggesting that microbiome dysbiosis may contribute to the pathogenesis of oral squamous cell carcinoma (OSCC). However, the specific microbial alterations linked to OSCC remain controversial. This meta-analysis reveals robust salivary microbiome alterations. Machine learning models using differential operational taxonomic units accurately predicted OSCC status, highlighting the potential of the salivary microbiome as a non-invasive diagnostic biomarker. Interestingly, age- and gender-associated signatures in the normal salivary microbiome were disrupted in OSCC, suggesting perturbations in host-microbe interactions.
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The authors declare no conflict of interest.
Zewen Han and Yichen Hu contributed equally to this article. Author order was determined by drawing straws.
ISSN:2379-5077
2379-5077
DOI:10.1128/msystems.01247-24