Enhanced salivary correlation between Streptococcus mutans and herpes simplex virus-1 in oral squamous cell carcinoma: a case-control study

Streptococcus mutans modulates local immune responses in the oral mucosa and has been implicated in oral squamous cell carcinoma (OSCC) pathogenesis. Emerging evidence suggests that certain oral bacteria can influence viral infections through immune modulation. This case-control study aimed to determine whether the correlation between S. mutans and herpes simplex virus type 1 (HSV-1) differs between OSCC patients and non-tumor controls, thereby elucidating potential bacterial–viral association in the tumor microenvironment. Unstimulated whole saliva samples were collected from 121 individuals, including 60 non-tumor controls and 61 OSCC patients. Real-time qPCR was used to quantify S. mutans 16S rRNA abundance and HSV-1 glycoprotein D (gD) mRNA levels. Mann–Whitney U tests assessed differences between groups, and Pearson’s correlation analyses evaluated bacterial-viral associations. Analysis of covariance (ANCOVA) adjusted for age and sex. Subgroup analyses examined correlations across clinical and demographic factors. Salivary S. mutans 16S rRNA abundance and HSV-1 gD mRNA levels were significantly higher in OSCC patients than in controls (P = 0.0145 and P = 0.0257, respectively). A moderate correlation was observed between S. mutans and HSV-1 in non-tumor controls (r = 0.3806, P = 0.0027), whereas a substantially stronger correlation was evident in OSCC patients (r = 0.7878, P < 0.0001). Subgroup analyses revealed particularly strong correlations in individuals with alcohol consumption (r = 0.9109, P < 0.0001) and smoking history (r = 0.9062, P < 0.0001). This study demonstrates a significantly stronger association between S. mutans and HSV-1 in OSCC than in non-tumor controls. These findings suggest that salivary bacterial–viral co-enrichment warrants further evaluation as a potential biomarker pair and may inform future microbiome-based strategies for OSCC risk assessment and prevention. Salivary S. mutans and HSV-1 are positively correlated in human subjects. OSCC patients show significantly higher S. mutans and HSV-1 levels than controls. Correlation between S. mutans and HSV-1 is markedly stronger in OSCC. Smoking, alcohol use, periodontitis, and OHI-S may influence this association. These findings support a potential salivary biomarker pair in OSCC.

Authors

Institutions

Publication Details

Journal
BMC Oral Health
Published
2026-08-03
DOI
https://doi.org/10.1186/s12903-026-08897-0
Primary Topic
Salivary Gland Disorders and Functions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced salivary correlation between Streptococcus mutans and herpes simplex virus-1 in oral squamous cell carcinoma: a case-control study

So‐Young Choi, Tae‐Geon Kwon, Heon‐Jin Lee, Su‐Hyung Hong et al.
BMC Oral Health
Salivary Gland Disorders and Functions
article

Enhanced salivary correlation between Streptococcus mutans and herpes simplex virus-1 in oral squamous cell carcinoma: a case-control study

So‐Young Choi, Tae‐Geon Kwon, Heon‐Jin Lee, Su‐Hyung Hong, Tae-Lyn Kim, Jin-Wook Kim, Su Young Oh, Chang-Geol Shin, Soyoung Kwak
article en

Abstract

Streptococcus mutans modulates local immune responses in the oral mucosa and has been implicated in oral squamous cell carcinoma (OSCC) pathogenesis. Emerging evidence suggests that certain oral bacteria can influence viral infections through immune modulation. This case-control study aimed to determine whether the correlation between S. mutans and herpes simplex virus type 1 (HSV-1) differs between OSCC patients and non-tumor controls, thereby elucidating potential bacterial–viral association in the tumor microenvironment. Unstimulated whole saliva samples were collected from 121 individuals, including 60 non-tumor controls and 61 OSCC patients. Real-time qPCR was used to quantify S. mutans 16S rRNA abundance and HSV-1 glycoprotein D (gD) mRNA levels. Mann–Whitney U tests assessed differences between groups, and Pearson’s correlation analyses evaluated bacterial-viral associations. Analysis of covariance (ANCOVA) adjusted for age and sex. Subgroup analyses examined correlations across clinical and demographic factors. Salivary S. mutans 16S rRNA abundance and HSV-1 gD mRNA levels were significantly higher in OSCC patients than in controls (P = 0.0145 and P = 0.0257, respectively). A moderate correlation was observed between S. mutans and HSV-1 in non-tumor controls (r = 0.3806, P = 0.0027), whereas a substantially stronger correlation was evident in OSCC patients (r = 0.7878, P < 0.0001). Subgroup analyses revealed particularly strong correlations in individuals with alcohol consumption (r = 0.9109, P < 0.0001) and smoking history (r = 0.9062, P < 0.0001). This study demonstrates a significantly stronger association between S. mutans and HSV-1 in OSCC than in non-tumor controls. These findings suggest that salivary bacterial–viral co-enrichment warrants further evaluation as a potential biomarker pair and may inform future microbiome-based strategies for OSCC risk assessment and prevention. Salivary S. mutans and HSV-1 are positively correlated in human subjects. OSCC patients show significantly higher S. mutans and HSV-1 levels than controls. Correlation between S. mutans and HSV-1 is markedly stronger in OSCC. Smoking, alcohol use, periodontitis, and OHI-S may influence this association. These findings support a potential salivary biomarker pair in OSCC.

BMC Oral Health
Kyungpook National University (KR)
National Research Foundation of Korea
Good health and well-being
Openalex Percentile: Top 10%
Salivary Gland Disorders and Functions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.