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Article: Urine metabolite profiling offers potential early diagnosis of oral cancer
Title | Urine metabolite profiling offers potential early diagnosis of oral cancer |
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Authors | |
Keywords | Gas chromatography-mass spectrometry Metabolomics Metabonomics Multivariate statistical analysis Oral cancer Oral leukoplakia Oral squamous cell carcinoma Receiver operating characteristic Urine |
Issue Date | 2012 |
Citation | Metabolomics, 2012, v. 8, n. 2, p. 220-231 How to Cite? |
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 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. © 2011 Springer Science+Business Media, LLC. |
Persistent Identifier | http://hdl.handle.net/10722/342409 |
ISSN | 2021 Impact Factor: 4.747 2020 SCImago Journal Rankings: 0.919 |
DC Field | Value | Language |
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dc.contributor.author | Xie, Guo X. | - |
dc.contributor.author | Chen, Tian L. | - |
dc.contributor.author | Qiu, Yun P. | - |
dc.contributor.author | Shi, Peng | - |
dc.contributor.author | Zheng, Xiao J. | - |
dc.contributor.author | Su, Ming M. | - |
dc.contributor.author | Zhao, Ai H. | - |
dc.contributor.author | Zhou, Zeng T. | - |
dc.contributor.author | Jia, Wei | - |
dc.date.accessioned | 2024-04-17T07:03:36Z | - |
dc.date.available | 2024-04-17T07:03:36Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Metabolomics, 2012, v. 8, n. 2, p. 220-231 | - |
dc.identifier.issn | 1573-3882 | - |
dc.identifier.uri | http://hdl.handle.net/10722/342409 | - |
dc.description.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 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. © 2011 Springer Science+Business Media, LLC. | - |
dc.language | eng | - |
dc.relation.ispartof | Metabolomics | - |
dc.subject | Gas chromatography-mass spectrometry | - |
dc.subject | Metabolomics | - |
dc.subject | Metabonomics | - |
dc.subject | Multivariate statistical analysis | - |
dc.subject | Oral cancer | - |
dc.subject | Oral leukoplakia | - |
dc.subject | Oral squamous cell carcinoma | - |
dc.subject | Receiver operating characteristic | - |
dc.subject | Urine | - |
dc.title | Urine metabolite profiling offers potential early diagnosis of oral cancer | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s11306-011-0302-7 | - |
dc.identifier.scopus | eid_2-s2.0-84857789813 | - |
dc.identifier.volume | 8 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 220 | - |
dc.identifier.epage | 231 | - |
dc.identifier.eissn | 1573-3890 | - |