Urine Metabolite Profiling Offers Potential Early Diagnosis of Oral Cancer

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Wei Jia, Professor and Co-Director of the UNCG Center for Research Excellence in Bioactive Food Components (Creator)
Yunping Qiu, Post Doctoral Fellow, Center for Research Excellence in Bioactive Food Components (Creator)
Guoxiang Xie, Post Doctoral Fellow, Center for Research Excellence in Bioactive Food Components (Creator)
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/

Abstract: Oral cancer is the sixth most common human cancer, with a high morbidity rate and an overall 5-year survival rate of less than 50%. It is often not diagnosed until it has reached an advanced stage. Therefore, an early diagnostic and stratification strategy is of great importance for oral cancer. In the current study, urine samples of patients with oral squamous cell carcinoma (OSCC, n = 37), oral leukoplakia (OLK, n = 32) and healthy subjects (n = 34) were analyzed by gas chromatography-mass spectrometry (GC–MS). Using multivariate statistical analysis, the urinary metabolite profiles of OSCC, OLK and healthy control samples can be clearly discriminated and a panel of differentially expressed metabolites was obtained. Metabolites, valine and 6-hydroxynicotic acid, in combination yielded an accuracy of 98.9%, sensitivity of 94.4%, specificity of 91.4%, and positive predictive value of 91.9% in distinguishing OSCC from the controls. The combination of three differential metabolites, 6-hydroxynicotic acid, cysteine, and tyrosine, was able to discriminate between OSCC and OLK with an accuracy of 92.7%, sensitivity of 85.0%, specificity of 89.7%, and positive predictive value of 91.9%. This study demonstrated that the metabolite markers derived from this urinary metabolite profiling approach may hold promise as a diagnostic tool for early stage OSCC and its differentiation from other oral conditions.

Additional Information

Metabolomics, 8(2), 220-231
Language: English
Date: 2012
oral cancer, metabonomics, metabolomics, oral squamous cell carcinoma, oral leukoplakia, urine, gas chromatography–mass spectrometry, multivariate statistical analysis, receiver operating characteristic

Email this document to