Assessment of high-throughput high-resolution MALDI-TOF-MS of urinary peptides for the detection of muscle-invasive bladder cancer

  • Richard T. Bryan
  • , Wenbin Wei
  • , Neil J. Shimwell
  • , Stuart I. Collins
  • , Syed A. Hussain
  • , Lucinda J. Billingham
  • , Paul G. Murray
  • , Nayneeta Deshmukh
  • , Nicholas D. James
  • , D. Michael A. Wallace
  • , Philip J. Johnson
  • , Maurice P. Zeegers
  • , K. K. Cheng
  • , Ashley Martin
  • , Douglas G. Ward

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: There is a need for better biomarkers to both detect bladder cancer and distinguish muscle-invasive (stage T2+) from non-invasive (stage Ta/T1) disease. We assess whether MALDI-TOF-MS of the urine peptidome can achieve this. Experimental design: We analysed urine from 751 patients with bladder cancer and 127 patients without bladder cancer. Endogenous peptide profiling was performed using a Bruker Ultraflextreme MALDI-TOF-MS. Results: Significant differences were seen between the spectra of urine from patients with and without T2+ disease. Albumin, total protein and haematuria were also elevated in T2+ patients. Haematuria was detected in 39% of patients with Ta/T1 disease and in 77% of patients with T2+ disease. Class prediction models based on MALDI data produced areas under receiver-operator characteristic curves of up to 0.76 but did not significantly outperform a model based on total protein alone. Many peptides significantly associated with invasive disease are fragments of abundant blood proteins and are also associated with haematuria. Conclusions and clinical relevance: Microscopic haematuria is strongly associated with invasive disease; even traces of blood/plasma strongly influence the urinary peptidome. This needs to be taken into consideration when using 'omic' methods to search for urinary biomarkers as blood proteins may give false-positive results.

Original languageEnglish
Pages (from-to)493-503
Number of pages11
JournalProteomics - Clinical Applications
Volume5
Issue number9-10
DOIs
Publication statusPublished - Oct 2011
Externally publishedYes

Keywords

  • Biomarker
  • Bladder
  • Cancer
  • Peptidome
  • Urine

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