Ontology highlight
ABSTRACT:
SUBMITTER: Ishikawa S
PROVIDER: S-EPMC8769065 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Ishikawa Shigeo S Sugimoto Masahiro M Konta Tsuneo T Kitabatake Kenichiro K Ueda Shohei S Edamatsu Kaoru K Okuyama Naoki N Yusa Kazuyuki K Iino Mitsuyoshi M
Frontiers in oncology 20220105
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 facto ...[more]