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ladder cancer (BC) is one of the most commonly occurring tumors in the urinary system. The incidence of BC continues to
rise, and mortality rates have not changed significantly in the past three decades. Given that small molecule metabolites are
freely filtered into urine, the use of metabonomics through examination of patient urine is in theory an ideal means to study BC.
Urine is predominantly aqueous and may contain a large proportion of polar compounds, which would typically be unretained
on reversed phase (RP) systems.3 To make up for this technical deficiency, extensive hydrophilic interaction chromatography
(HILIC) separations should be performed. Furthermore, HILIC allows the use of aqueous solvents, which is fully compatible with
an electrospray ionization (ESI) source.4 In this study, a LC-MS based method that utilized both RPLC and HILIC separations
was carried out, followed by orthogonal partial least-squares-discriminant analysis (OPLS-DA) to discriminate the global urine
profiles of BC patients and healthy controls. Both RPLC and HILIC can generate good separations. Data from both columns
were combined and then evaluated by external validation tests. The combined dataset depicts a more clear separation between
the BC and the healthy controls than those built on the dataset from a single column. The combined OPLS-DA model correctly
predicted all BC patients and healthy controls with 100% sensitivity and 100% specificity. This result shows the great potential for
the combined dataset using OPLS-DA analysis as a viable technique for non-invasive BC screening.
Wei Hang has completed his PhD at the age of 27 years from Xiamen University and postdoctoral studies from University of Florida. He is a professor
at Department of Chemistry, Xiamen University. He has published more than 90 papers in reputed journals.
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