title: Multiplexed quantification of 63 proteins in human urine by multiple reaction monitoring-based mass spectrometry for discovery of potential bladder cancer biomarkers.
abstract: Three common urological diseases are bladder cancer, urinary tract infection, and hematuria. Seventeen bladder cancer biomarkers were previously discovered using iTRAQ - these findings were verified by MRM-MS in this current study. Urine samples from 156 patients with hernia (n=57, control), bladder cancer (n=76), or urinary tract infection/hematuria (n=23) were collected and subjected to multiplexed LC-MRM/MS to determine the concentrations of 63 proteins that are normally considered to be plasma proteins, but which include proteins found in our earlier iTRAQ study. Sixty-five stable isotope-labeled standard proteotypic peptides were used as internal standards for 63 targeted proteins. Twelve proteins showed higher concentrations in the bladder cancer group than in the hernia and the urinary tract infection/hematuria groups, and thus represent potential urinary biomarkers for detection of bladder cancer. Prothrombin had the highest AUC (0.796), with 71.1% sensitivity and 75.0% specificity for differentiating bladder cancer (n=76) from non-cancerous (n=80) patients. The multiplexed MRM-MS data was used to generate a six-peptide marker panel. This six-peptide panel (afamin, adiponectin, complement C4 gamma chain, apolipoprotein A-II precursor, ceruloplasmin, and prothrombin) can discriminate bladder cancer subjects from non-cancerous subjects with an AUC of 0.814, with a 76.3% positive predictive value, and a 77.5% negative predictive value. This article is part of a Special Section entitled: Understanding genome regulation and genetic diversity by mass spectrometry.
authors.affiliation: Molecular Medicine Research Center, Chang Gung University, Taoyuan 333, Taiwan.
authors.forename: Yi-Ting
authors.initials: YT
authors.lastname: Chen
authors.forename: Hsiao-Wei
authors.initials: HW
authors.lastname: Chen
authors.forename: Dominik
authors.initials: D
authors.lastname: Domanski
authors.forename: Derek S
authors.initials: DS
authors.lastname: Smith
authors.forename: Kung-Hao
authors.initials: KH
authors.lastname: Liang
authors.forename: Chih-Ching
authors.initials: CC
authors.lastname: Wu
authors.forename: Chien-Lun
authors.initials: CL
authors.lastname: Chen
authors.forename: Ting
authors.initials: T
authors.lastname: Chung
authors.forename: Min-Chi
authors.initials: MC
authors.lastname: Chen
authors.forename: Yu-Sun
authors.initials: YS
authors.lastname: Chang
authors.forename: Carol E
authors.initials: CE
authors.lastname: Parker
authors.forename: Christoph H
authors.initials: CH
authors.lastname: Borchers
authors.forename: Jau-Song
authors.initials: JS
authors.lastname: Yu
mesh_terms: D000595:Amino Acid Sequence; D014408:Biomarkers, Tumor / Q000737:chemistry* / Q000652:urine*; D005240:Feasibility Studies; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods*; D008969:Molecular Sequence Data; D009363:Neoplasm Proteins / Q000737:chemistry* / Q000652:urine*; D010449:Peptide Mapping / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D001749:Urinary Bladder Neoplasms / Q000175:diagnosis / Q000652:urine*
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins