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LC ‐ MS ‐based serum metabolic profiling for genitourinary cancer classification and cancer type‐specific biomarker discovery
Author(s) -
Lin Lin,
Huang Zhenzhen,
Gao Yao,
Chen Yongjing,
Hang Wei,
Xing Jinchun,
Yan Xiaomei
Publication year - 2012
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201200016
Subject(s) - biomarker , biomarker discovery , metabolomics , cancer , chromatography , metabolome , chemistry , proteomics , medicine , biochemistry , gene
Bladder cancer ( BC ) and kidney cancer ( KC ) are the first two commonly occurring genitourinary cancers in C hina. In this study, a comprehensive LC ‐ MS ‐based method, which utilizes both reversed phase liquid chromatography ( RPLC ) and hydrophilic interaction chromatography ( HILIC ) separations, has been carried out in conjunction with multivariate data analysis to discriminate the global serum profiles of BC , KC , and noncancer controls. An independent test set consisting of different patients has been used to objectively evaluate the predictive ability of the analysis platform. Excellent sensitivity and specificity have been achieved in detection of KC and BC . The results suggest that serum metabolic profiling could be used for different types of genitourinary cancer diagnosis. Furthermore, cancer type‐specific biomarkers were found through a critical selection criterion. As a result, eicosatrienol, azaprostanoic acid, docosatrienol, retinol, and 14′‐apo‐beta‐carotenal were found as specific biomarkers for BC ; and PE ( P ‐16:0e/0:0), glycerophosphorylcholine, ganglioside GM 3 (d18:1/22:1), C 17 sphinganine, and SM (d18:0/16:1(9 Z )) were found as specific biomarkers for KC . Receiver operating characteristic ( ROC ) analysis was used for the preliminary evaluation of the biomarkers. These biomarkers have great potential to be used in the clinical diagnosis after further rigorous assessment.