Bladder cancer associated glycoprotein signatures revealed by urinary proteomic profiling

Paweena Kreunin, Jia Zhao, Charles Rosser, Virginia Urquidi, David M. Lubman, Steve Goodison

Research output: Contribution to journalArticlepeer-review

110 Scopus citations


Current methods in the noninvasive detection and surveillance of bladder cancer via urine analysis include voided urine cytology (VUC) and some diagnostic urinary protein biomarkers; however, due to the poor sensitivity of VUC and high false-positive rates of currently available protein assays, detection of bladder cancer via urinalysis remains a challenge. In the study presented here, a rapid, high-sensitivity technique was developed to profile the N-linked glycoprotein component in naturally micturated human urine specimens. Concanavalin A (Con A) affinity chromatography coupled to nanoflow liquid chromatography was utilized to separate the complex peptide mixture prior to a linear ion trap MS analysis. Of 186 proteins identified with high confidence by multiple analyses, 40% were secreted proteins, 18% membrane proteins, and 14% extracellular proteins. In this study, the presence of several proteins appeared to be associated with the presence of bladder cancer, including α-1B-glycoprotein that was detected in all tumor-bearing patient samples but in none of the samples obtained from non-tumor-bearing individuals. The combination of Con A affinity chromatography and nano-LC/MS/MS provides an initial investigation of N-glycoproteins in complex biological samples and facilitates the identification of potential biomarkers of bladder cancer in noninvasively obtained human urine.

Original languageEnglish (US)
Pages (from-to)2631-2639
Number of pages9
JournalJournal of Proteome Research
Issue number7
StatePublished - Jul 2007


  • Bladder cancer
  • Glycosylation
  • Lectin

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)


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