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ABSTRACT: Introduction
The oral squamous cell carcinoma (OSCC) is detrimental to patients' physical and mental health. The prognosis of OSCC depends on the early diagnosis of OSCC in large populations.Objectives
Here, the present study aimed to develop an early diagnostic model based on the relationship between OSCC and oral microbiota.Methods
Overall, 164 samples were collected from 47 OSCC patients and 48 healthy individuals as controls, including saliva, subgingival plaque, the tumor surface, the control side (healthy mucosa), and tumor tissue. Based on 16S rDNA sequencing, data from all the five sites, and salivary samples only, two machine learning models were developed to diagnose OSCC.Results
The average diagnostic accuracy rates of five sites and saliva were 9
SUBMITTER: Zhou X
PROVIDER: S-EPMC8416267 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature