Oral Microbial Changes in Oral Squamous Cell Carcinoma: Focus on Treponema denticola, Lactobacillus casei, and Candida albicans

<i>Background and Objectives:</i> In this study, we aimed to explore the oral bacteria and fungi that can help discern oral squamous cell carcinoma (OSCC) and investigate the correlations between multiple key pathogens. <i>Materials and Methods:</i> Twelve participants (8 females and 4 males; mean age, 54.33 ± 20.65 years) were prospectively recruited into three groups: Group 1: healthy control, Group 2: patients with stomatitis, and Group 3: patients with OSCC, with 4 individuals in each group. Unstimulated whole saliva samples from these participants were analyzed using real-time PCR to assess the presence and abundance of 14 major oral bacterial species and <i>Candida albicans</i>. <i>Results:</i> The analysis revealed significant differences for certain microorganisms, namely, <i>Treponema denticola</i> (<i>T. denticola</i>), <i>Lactobacillus casei</i> (<i>L. casei</i>), and <i>Candida albicans</i>. <i>T. denticola</i> was most abundant in the OSCC group (5,358,692.95 ± 3,540,767.33), compared to the stomatitis (123,355.54 ± 197,490.86) and healthy control (9999.21 ± 11,998.40) groups. <i>L. casei</i> was undetectable in the healthy control group but was significantly more abundant in the stomatitis group (1653.94 ± 2981.98) and even higher in the OSCC group (21,336.95 ± 9258.79) (<i>p</i> = 0.001). A similar trend was observed for <i>C. albicans</i>, with DNA copy numbers rising from the healthy control (464.29 ± 716.76) to the stomatitis (1861.30 ± 1206.15) to the OSCC group (9347.98 ± 5128.54) (<i>p</i> = 0.006). The amount of <i>T. denticola</i> was positively correlated with <i>L. casei</i> (r = 0.890, <i>p</i> < 0.001) and <i>C. albicans</i> (r = 0.724, <i>p</i> = 0.008). <i>L. casei</i>'s DNA copy number was strongly correlated with <i>C. albicans</i> (r = 0.931, <i>p</i> < 0.001). These three oral microbes exhibited strong positive correlations with each other and had various direct or indirect relationships with other species. <i>Conclusions:</i> In the OSCC group, <i>T. denticola</i>, <i>L. casei</i>, and <i>C. albicans</i> exhibited strong positive correlations with one another, further emphasizing the need for a deeper understanding of the complex microbial interactions in the OSCC environment.

Authors

Institutions

Publication Details

Journal
Medicina
Published
2024-10-25
DOI
https://doi.org/10.3390/medicina60111753
Citations
4
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
1.60

Funders

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

Oral Microbial Changes in Oral Squamous Cell Carcinoma: Focus on Treponema denticola, Lactobacillus casei, and Candida albicans

Ji‐Youn Hong, Junho Jung, Yeon‐Hee Lee
4 citations
Medicina
Oral microbiology and periodontitis research
1.60
article

Oral Microbial Changes in Oral Squamous Cell Carcinoma: Focus on Treponema denticola, Lactobacillus casei, and Candida albicans

Ji‐Youn Hong, Junho Jung, Yeon‐Hee Lee
article en
4 citations

Abstract

<i>Background and Objectives:</i> In this study, we aimed to explore the oral bacteria and fungi that can help discern oral squamous cell carcinoma (OSCC) and investigate the correlations between multiple key pathogens. <i>Materials and Methods:</i> Twelve participants (8 females and 4 males; mean age, 54.33 ± 20.65 years) were prospectively recruited into three groups: Group 1: healthy control, Group 2: patients with stomatitis, and Group 3: patients with OSCC, with 4 individuals in each group. Unstimulated whole saliva samples from these participants were analyzed using real-time PCR to assess the presence and abundance of 14 major oral bacterial species and <i>Candida albicans</i>. <i>Results:</i> The analysis revealed significant differences for certain microorganisms, namely, <i>Treponema denticola</i> (<i>T. denticola</i>), <i>Lactobacillus casei</i> (<i>L. casei</i>), and <i>Candida albicans</i>. <i>T. denticola</i> was most abundant in the OSCC group (5,358,692.95 ± 3,540,767.33), compared to the stomatitis (123,355.54 ± 197,490.86) and healthy control (9999.21 ± 11,998.40) groups. <i>L. casei</i> was undetectable in the healthy control group but was significantly more abundant in the stomatitis group (1653.94 ± 2981.98) and even higher in the OSCC group (21,336.95 ± 9258.79) (<i>p</i> = 0.001). A similar trend was observed for <i>C. albicans</i>, with DNA copy numbers rising from the healthy control (464.29 ± 716.76) to the stomatitis (1861.30 ± 1206.15) to the OSCC group (9347.98 ± 5128.54) (<i>p</i> = 0.006). The amount of <i>T. denticola</i> was positively correlated with <i>L. casei</i> (r = 0.890, <i>p</i> < 0.001) and <i>C. albicans</i> (r = 0.724, <i>p</i> = 0.008). <i>L. casei</i>'s DNA copy number was strongly correlated with <i>C. albicans</i> (r = 0.931, <i>p</i> < 0.001). These three oral microbes exhibited strong positive correlations with each other and had various direct or indirect relationships with other species. <i>Conclusions:</i> In the OSCC group, <i>T. denticola</i>, <i>L. casei</i>, and <i>C. albicans</i> exhibited strong positive correlations with one another, further emphasizing the need for a deeper understanding of the complex microbial interactions in the OSCC environment.

MedicinaVol. 60(11)
Kyung Hee University (KR), Kyung Hee University Dental Hospital (KR)
Korea Medical Device Development Fund, Seoul National University, Kyung Hee University, Ministry of Food and Drug Safety, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 17%
Oral microbiology and periodontitis research
1.60
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.