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

  • 0Shenzhen Clinical College of Stomatology, School of Stomatology, Southern Medical University, Shenzhen, Guangdong, China.

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Summary

This summary is machine-generated.

This study reveals significant oral microbiome changes in oral squamous cell carcinoma (OSCC) patients, identifying key bacteria linked to the disease. These findings highlight the salivary microbiome

Area Of Science

  • Microbiology and Oncology
  • Oral microbiome research
  • Cancer pathogenesis

Background

  • Oral squamous cell carcinoma (OSCC) is a major cancer with poor prognosis.
  • The oral microbiome's role in OSCC pathogenesis is suspected but not fully understood.
  • Previous studies on OSCC-associated microbiome dysbiosis have yielded inconsistent results.

Purpose Of The Study

  • To conduct a large-scale meta-analysis of salivary microbiome profiles in OSCC patients and healthy controls.
  • To identify robust microbial signatures associated with OSCC.
  • To evaluate the potential of the salivary microbiome as a non-invasive diagnostic biomarker for OSCC.

Main Methods

  • Integrated 11 publicly available datasets of salivary microbiome profiles.
  • Applied meta-analysis with random effects models to identify microbial signatures.
  • Utilized machine learning models to predict OSCC status based on microbial markers.

Main Results

  • Significantly elevated alpha diversity and distinct beta-diversity patterns in the OSCC salivary microbiome.
  • Enrichment of specific taxa, including *Streptococcus*, *Lactobacillus*, *Prevotella*, *Bulleidia moorei*, and *Haemophilus*, in OSCC samples.
  • Machine learning models accurately predicted OSCC status, demonstrating biomarker potential.

Conclusions

  • Complex alterations in the oral microbiome are associated with OSCC.
  • The identified microbial signatures hold promise as non-invasive diagnostic biomarkers for OSCC.
  • Disruption of age- and gender-associated salivary microbiome signatures in OSCC suggests perturbed host-microbe interactions.