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Article: Urine metabolite profiling offers potential early diagnosis of oral cancer

TitleUrine metabolite profiling offers potential early diagnosis of oral cancer
Authors
KeywordsGas chromatography-mass spectrometry
Metabolomics
Metabonomics
Multivariate statistical analysis
Oral cancer
Oral leukoplakia
Oral squamous cell carcinoma
Receiver operating characteristic
Urine
Issue Date2012
Citation
Metabolomics, 2012, v. 8, n. 2, p. 220-231 How to Cite?
AbstractOral 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 Identifierhttp://hdl.handle.net/10722/342409
ISSN
2021 Impact Factor: 4.747
2020 SCImago Journal Rankings: 0.919

 

DC FieldValueLanguage
dc.contributor.authorXie, Guo X.-
dc.contributor.authorChen, Tian L.-
dc.contributor.authorQiu, Yun P.-
dc.contributor.authorShi, Peng-
dc.contributor.authorZheng, Xiao J.-
dc.contributor.authorSu, Ming M.-
dc.contributor.authorZhao, Ai H.-
dc.contributor.authorZhou, Zeng T.-
dc.contributor.authorJia, Wei-
dc.date.accessioned2024-04-17T07:03:36Z-
dc.date.available2024-04-17T07:03:36Z-
dc.date.issued2012-
dc.identifier.citationMetabolomics, 2012, v. 8, n. 2, p. 220-231-
dc.identifier.issn1573-3882-
dc.identifier.urihttp://hdl.handle.net/10722/342409-
dc.description.abstractOral 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.languageeng-
dc.relation.ispartofMetabolomics-
dc.subjectGas chromatography-mass spectrometry-
dc.subjectMetabolomics-
dc.subjectMetabonomics-
dc.subjectMultivariate statistical analysis-
dc.subjectOral cancer-
dc.subjectOral leukoplakia-
dc.subjectOral squamous cell carcinoma-
dc.subjectReceiver operating characteristic-
dc.subjectUrine-
dc.titleUrine metabolite profiling offers potential early diagnosis of oral cancer-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11306-011-0302-7-
dc.identifier.scopuseid_2-s2.0-84857789813-
dc.identifier.volume8-
dc.identifier.issue2-
dc.identifier.spage220-
dc.identifier.epage231-
dc.identifier.eissn1573-3890-

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