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Recent developments in molecular profiling of bladder cancer.
Torben F Ørntoft1, Karsten Zieger, Lars Dyrskjøt
1Department of Clinical Biochemistry, Aarhus University Hospital, Skejby, Denmark. orntoft@ki.au.dk
Current Opinion in Urology
|August 15, 2006
Summary
Molecular profiling of bladder tumors using gene expression microarrays can predict cancer stage, grade, and metastasis risk. These bladder cancer signatures are being tested for clinical use in treatment selection.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- High-density microarrays enable detailed molecular profiling of bladder tumors.
- Understanding molecular signatures is crucial for predicting bladder cancer progression and outcomes.
Purpose of the Study:
- To review the application of molecular profiling in predicting clinical courses of bladder cancer.
- To discuss the translation of molecular profiles into clinically applicable tests.
Main Methods:
- Review of recent reports on high-density microarray profiling.
- Analysis of gene expression and genomic instability arrays.
- Evaluation of immunohistochemistry for predictor validation.
Main Results:
- Gene expression microarrays identify signatures predicting bladder cancer stage, grade, progression, and metastasis.
- Genomic instability arrays show less effectiveness compared to gene expression.
- Identified genes can serve as predictors via immunohistochemistry.
Conclusions:
- Molecular signatures are undergoing multicenter studies for clinical integration.
- These profiles aim to guide follow-up strategies and treatment selection in bladder cancer patients.