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Oral Microbiota Community Dynamics Associated With Oral Squamous Cell Carcinoma Staging.

作者信息

Yang Chia-Yu, Yeh Yuan-Ming, Yu Hai-Ying, Chin Chia-Yin, Hsu Chia-Wei, Liu Hsuan, Huang Po-Jung, Hu Song-Nian, Liao Chun-Ta, Chang Kai-Ping, Chang Yu-Liang

机构信息

Department of Microbiology and Immunology, College of Medicine, Chang Gung University, Taoyuan, Taiwan.

Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.

出版信息

Front Microbiol. 2018 May 3;9:862. doi: 10.3389/fmicb.2018.00862. eCollection 2018.


DOI:10.3389/fmicb.2018.00862
PMID:29774014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5943489/
Abstract

Oral squamous cell carcinoma (OSCC) is a highly aggressive cancer and the fourth leading malignancy among males in Taiwan. Some pathogenic bacteria are associated with periodontitis and oral cancer. However, the comprehensive profile of the oral microbiome during the cancer's progression from the early stage to the late stage is still unclear. We profiled the oral microbiota and identified bacteria biomarkers associated with OSCC. The microbiota of an oral rinse from 51 healthy individuals and 197 OSCC patients at different stages were investigated using 16S rRNA V3V4 amplicon sequencing, followed by bioinformatics and statistical analyses. The oral microbiota communities from stage 4 patients showed significantly higher complexity than those from healthy controls. The populations also dynamically changed with the cancer's progression from stage 1 to stage 4. The predominant phyla in the oral samples showed variation in the relative abundance of , and . The abundance of increased significantly with the progression of oral cancer from the healthy controls (2.98%) to OSCC stage 1 (4.35%) through stage 4 (7.92%). At the genus level, the abundance of increased, while the number of , and decreased with cancer progression. , and were associated with OSCC, and they progressively increased in abundance from stage 1 to stage 4. The abundances of , and were inversely associated with OSCC progression. We selected a bacterial marker panel of three bacteria (upregulated , down-regulated , and ), which had an AUC of 0.956 (95% CI = 0.925-0.986) in discriminating OSCC stage 4 from the healthy controls. Furthermore, the functional prediction of oral bacterial communities showed that genes involved in carbohydrate-related metabolism, such as methane metabolism, and energy-metabolism-related parameters, such as oxidative phosphorylation and carbon fixation in photosynthetic organisms, were enriched in late-stage OSCC, while those responsible for amino acid metabolism, such as folate biosynthesis and valine, leucine, and isoleucine biosynthesis, were significantly associated with the healthy controls. In conclusion, our results provided evidence of oral bacteria community changes during oral cancer progression and suggested the possibility of using bacteria as OSCC diagnostic markers.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/bd07595fcddb/fmicb-09-00862-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/6bbbf828b185/fmicb-09-00862-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/884ccc012ee1/fmicb-09-00862-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/9f811a2c44e5/fmicb-09-00862-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/81ea35e4c363/fmicb-09-00862-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/122afec7ef37/fmicb-09-00862-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/bd07595fcddb/fmicb-09-00862-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/6bbbf828b185/fmicb-09-00862-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/884ccc012ee1/fmicb-09-00862-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/9f811a2c44e5/fmicb-09-00862-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/81ea35e4c363/fmicb-09-00862-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/122afec7ef37/fmicb-09-00862-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3106/5943489/bd07595fcddb/fmicb-09-00862-g0006.jpg

相似文献

[1]
Oral Microbiota Community Dynamics Associated With Oral Squamous Cell Carcinoma Staging.

Front Microbiol. 2018-5-3

[2]
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[3]
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[4]
Variations in oral microbiota associated with oral cancer.

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[6]
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[7]
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[8]
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[9]
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[10]
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引用本文的文献

[1]
Oral Microbiome as a Biomarker and Therapeutic Target in Head and Neck Cancer: Current Insights and Future Directions.

Cancers (Basel). 2025-8-15

[2]
The interactions of Fusobacterium nucleatum and Porphyromonas gingivalis with microRNAs: contributions to oral squamous cell carcinoma.

Mol Biol Rep. 2025-8-12

[3]
Salivaomic Biomarkers-An Innovative Approach to the Diagnosis, Treatment, and Prognosis of Oral Cancer.

Biology (Basel). 2025-7-13

[4]
Harnessing the oral-systemic axis: A novel frontier in cancer management.

Med Oncol. 2025-7-19

[5]
The tumor microbiome in cancer progression: mechanisms and therapeutic potential.

Mol Cancer. 2025-7-15

[6]
Role of Human Microbiome in Development and Management of Head and Neck Squamous Cell Carcinoma.

Cancers (Basel). 2025-7-3

[7]
Association Between Oral Microbiota and Gastrointestinal/Extra-Gastrointestinal Diseases.

Korean J Helicobacter Up Gastrointest Res. 2024-12

[8]
Oral and intratumoral microbiota influence tumor immunity and patient survival.

Front Immunol. 2025-5-21

[9]
Oral Microbiome-Mediated Carcinogenesis in Oral Cavity Cancer: A Narrative Review.

Cureus. 2025-4-30

[10]
Dynamic changes of dental plaque and saliva microbiota in OSCC progression.

Clin Oral Investig. 2025-5-27

本文引用的文献

[1]
Bacterial alterations in salivary microbiota and their association in oral cancer.

Sci Rep. 2017-11-28

[2]
Variations in oral microbiota associated with oral cancer.

Sci Rep. 2017-9-18

[3]
Inflammatory bacteriome featuring Fusobacterium nucleatum and Pseudomonas aeruginosa identified in association with oral squamous cell carcinoma.

Sci Rep. 2017-5-12

[4]
Differences in the Bacteriome of Smokeless Tobacco Products with Different Oral Carcinogenicity: Compositional and Predicted Functional Analysis.

Genes (Basel). 2017-3-23

[5]
Cancer Statistics, 2017.

CA Cancer J Clin. 2017-1-5

[6]
Metagenome-wide association studies: fine-mining the microbiome.

Nat Rev Microbiol. 2016-7-11

[7]
Robust species taxonomy assignment algorithm for 16S rRNA NGS reads: application to oral carcinoma samples.

J Oral Microbiol. 2015-9-29

[8]
Oral Cavity Carcinoma: Current Management, Controversies, and Future Directions.

J Clin Oncol. 2015-10-10

[9]
Overview of Advances in Head and Neck Cancer.

J Clin Oncol. 2015-10-10

[10]
Filifactor alocis--a new emerging periodontal pathogen.

Microbes Infect. 2015-7

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