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Related Experiment Videos

Urinary biomarker profiling in transitional cell carcinoma.

Nicholas P Munro1, David A Cairns, Paul Clarke

  • 1Cancer Research UK Clinical Centre, St. James's University Hospital, Beckett Street, Leeds, United Kingdom.

International Journal of Cancer
|September 23, 2006
PubMed
Summary
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Noninvasive urinary proteomic profiles can detect bladder transitional cell carcinoma (TCC). This study demonstrates reproducible SELDI profiling for identifying TCC recurrence, aiding future diagnostic assay development.

Area of Science:

  • Urology
  • Proteomics
  • Biomarker Discovery

Background:

  • Noninvasive detection of recurrent bladder transitional cell carcinoma (TCC) is crucial.
  • Current diagnostic methods for TCC recurrence have limitations.

Purpose of the Study:

  • To identify urinary proteomic profiles for noninvasive detection of TCC.
  • To develop and validate a predictive algorithm for TCC presence.

Main Methods:

  • Surface-enhanced laser desorption/ionization (SELDI) proteomic profiling of urine samples.
  • Linear mixed effects models to identify differentially expressed peaks.
  • Random Forest classifier for TCC prediction and validation.

Main Results:

  • Twenty-two differentially expressed peaks identified between TCC and controls (p < 10(-7)).

Related Experiment Videos

  • A Random Forest classifier achieved 71.7% sensitivity and 62.5% specificity in an initial set.
  • The classifier demonstrated 78.3% sensitivity and 65.0% specificity in an independent validation set after 6 months.

    • Conclusions:

    • SELDI profiling of urine shows promise for identifying TCC with sensitivities and specificities comparable to existing tumor markers.
    • Reproducibility was demonstrated on an independent test set analyzed several months later.
    • Identified urinary peaks may facilitate the development of multiplex assays for recurrent TCC detection.