Systematic analyses uncover robust salivary microbial signatures and host-microbiome perturbations in oral squamous cell carcinoma
- Zewen Han 1,2, Yichen Hu 3,4,5, Xin Lin 6, Hongyu Cheng 6, Biao Dong 6, Xuan Liu 6, Buling Wu 1,2,7,8, Zhenjiang Zech Xu 6,9
- 1Shenzhen Clinical College of Stomatology, School of Stomatology, Southern Medical University, Shenzhen, Guangdong, China.
- 2Shenzhen Stomatology Hospital (Pingshan) of Southern Medical University, Shenzhen, Guangdong, China.
- 3Center of Stomatology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
- 4JXHC Key Laboratory of Periodontology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
- 5The Institute of Periodontal Disease, Nanchang University, Nanchang, Jiangxi, China.
- 6State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, Jiangxi, China.
- 7Department of Endodontics, Shenzhen Stomatology Hospital (Pingshan) of Southern Medical University, Shenzhen, Guangdong, China.
- 8School of Stomatology, Southern Medical University, Guangzhou, Guangdong, China.
- 9Stomatology Hospital Pingshan of Southern Medical University, Shenzhen, Guangdong, China.
- 0Shenzhen Clinical College of Stomatology, School of Stomatology, Southern Medical University, Shenzhen, Guangdong, China.
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View abstract on PubMed
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.
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