Salivary Metabolomics for Prognosis of Oral Squamous Cell Carcinoma.

ABSTRACT: This study aimed to identify salivary metabolomic biomarkers for predicting the prognosis of oral squamous cell carcinoma (OSCC) based on comprehensive metabolomic analyses. Quantified metabolomics data of unstimulated saliva samples collected from patients with OSCC (n = 72) were randomly divided into the training (n = 35) and validation groups (n = 37). The training data were used to develop a Cox proportional hazards regression model for identifying significant metabolites as prognostic factors for overall survival (OS) and disease-free survival. Moreover, the validation group was used to develop another Cox proportional hazards regression model using the previously identified metabolites. There were no significant between-group differences in the participants' characteristics, includin

SUBMITTER: Ishikawa S 

PROVIDER: S-EPMC8769065 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature