Signatures of Mucosal Microbiome in Oral Squamous Cell Carcinoma Identified Using a Random Forest Model.

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, Carnoba

SUBMITTER: Zhou J 

PROVIDER: S-EPMC7342497 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature