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Signatures of Mucosal Microbiome in Oral Squamous Cell Carcinoma Identified Using a Random Forest Model
- Source :
- Cancer Management and Research. 12:5353-5363
- Publication Year :
- 2020
- Publisher :
- Informa UK Limited, 2020.
-
Abstract
- Objective The aim of this study was to explore the signatures of oral microbiome associated with OSCC using a random forest (RF) model. Patients and methods A total of 24 patients with OSCC were enrolled in the study. The oral microbiome was assessed in cancerous lesions and matched paracancerous tissues from each patient using 16S rRNA gene sequencing. Signatures of mucosal microbiome in OSCC were identified using a RF model. Results Significant differences were found between OSCC lesions and matched paracancerous tissues with respect to the microbial profile and composition. Linear discriminant analysis effect size analyses (LEfSe) identified 15 bacteria genera associated with cancerous lesions. Fusobacterium, Treponema, Streptococcus, Peptostreptococcus, Carnobacterium, Tannerella, Parvimonas and Filifactor were enriched. A classifier based on RF model identified a microbial signature comprising 12 bacteria, which was capable of distinguishing cancerous lesions and paracancerous tissues (AUC = 0.82). The network of the oral microbiome in cancerous lesions appeared to be simplified and fragmented. Functional analyses of oral microbiome showed altered functions in amino acid metabolism and increased capacity of glucose utilization in OSCC. Conclusion The identified microbial signatures may potentially be used as a biomarker for predicting OSCC or for clinical assessment of oral cancer risk.
- Subjects :
- 0301 basic medicine
Pathology
medicine.medical_specialty
Treponema
biology
Streptococcus
biology.organism_classification
medicine.disease_cause
Peptostreptococcus
stomatognathic diseases
03 medical and health sciences
030104 developmental biology
0302 clinical medicine
Oncology
Fusobacterium
030220 oncology & carcinogenesis
medicine
16s rrna gene sequencing
Basal cell
Oral Microbiome
Microbiome
Subjects
Details
- ISSN :
- 11791322
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Cancer Management and Research
- Accession number :
- edsair.doi...........3d84e257512f18b42b6b92d7b345fd9a