TY - JOUR
T1 - Urine metabolite profiling offers potential early diagnosis of oral cancer
AU - Xie, Guo X.
AU - Chen, Tian L.
AU - Qiu, Yun P.
AU - Shi, Peng
AU - Zheng, Xiao J.
AU - Su, Ming M.
AU - Zhao, Ai H.
AU - Zhou, Zeng T.
AU - Jia, Wei
N1 - Funding Information:
Acknowledgments This work was financially supported by the National Basic Research Program of China (2007CB914700), the National Science and Technology Major Project (2009ZX10005-020) and the National Science Foundation of China (20775048).
PY - 2012/4
Y1 - 2012/4
N2 - 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 chromatographymass 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.
AB - 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 chromatographymass 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.
KW - Gas chromatography-mass spectrometry
KW - Metabolomics
KW - Metabonomics
KW - Multivariate statistical analysis
KW - Oral cancer
KW - Oral leukoplakia
KW - Oral squamous cell carcinoma
KW - Receiver operating characteristic
KW - Urine
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U2 - 10.1007/s11306-011-0302-7
DO - 10.1007/s11306-011-0302-7
M3 - Article
AN - SCOPUS:84857789813
SN - 1573-3882
VL - 8
SP - 220
EP - 231
JO - Metabolomics
JF - Metabolomics
IS - 2
ER -
