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  4. An Oral Microbial Biomarker for Early Detection of Recurrence of Oral Squamous Cell Carcinoma
 
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An Oral Microbial Biomarker for Early Detection of Recurrence of Oral Squamous Cell Carcinoma

Journal
ACS Infectious Diseases
Journal Volume
9
Journal Issue
9
Date Issued
2023-01-01
Author(s)
Lyu, Wei Ni
MEI-CHUN LIN  
Shen, Cheng Ying
LI-HAN CHEN
Lee, Yung Hua
Chen, Shin Kuang
LIANG-CHUAN LAI  
ERIC YAO-YU CHUANG  
PEI-JEN LOU  
MONG-HSUN TSAI  
DOI
10.1021/acsinfecdis.3c00269
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/635606
URL
https://api.elsevier.com/content/abstract/scopus_id/85169035818
Abstract
Changes in the oral microbiome are associated with oral squamous cell carcinoma (OSCC). Oral microbe-derived signatures have been utilized as markers of OSCC. However, the structure of the oral microbiome during OSCC recurrence and biomarkers for the prediction of OSCC recurrence remains unknown. To identify OSCC recurrence-associated microbial biomarkers for the prediction of OSCC recurrence, we performed 16S rRNA amplicon sequencing on 54 oral swab samples from OSCC patients. Differences in bacterial compositions were observed in patients with vs without recurrence. We found that Granulicatella, Peptostreptococcus, Campylobacter, Porphyromonas, Oribacterium, Actinomyces, Corynebacterium, Capnocytophaga, and Dialister were enriched in OSCC recurrence. Functional analysis of the oral microbiome showed altered functions associated with OSCC recurrence compared with nonrecurrence. A random forest prediction model was constructed with five microbial signatures including Leptotrichia trevisanii, Capnocytophaga sputigena, Capnocytophaga, Cardiobacterium, and Olsenella to discriminate OSCC recurrence from original OSCC (accuracy = 0.963). Moreover, we validated the prediction model in another independent cohort (46 OSCC patients), achieving an accuracy of 0.761. We compared the accuracy of the prediction of OSCC recurrence between the five microbial signatures and two clinicopathological parameters, including resection margin and lymph node counts. The results predicted by the model with five microbial signatures showed a higher accuracy than those based on the clinical outcomes from the two clinicopathological parameters. This study demonstrated the validity of using recurrence-related microbial biomarkers, a noninvasive and effective method for the prediction of OSCC recurrence. Our findings may contribute to the prognosis and treatment of OSCC recurrence.
Subjects
microbial biomarkers | microbiome | oral squamous cell carcinoma | recurrence
Type
journal article

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