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Culture of Bladder Cancer Organoids as Precision Medicine Tools
Published on: December 28, 2021
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Prediction tools in non-muscle invasive bladder cancer
Stefania Zamboni1,2, Marco Moschini1, Claudio Simeone2
1Klinik für Urologie, Luzerner Kantonsspital, Spitalstrasse 2, Lucerne, Switzerland.
Translational Andrology and Urology
|April 13, 2019
Summary
Predicting recurrence and progression in non-muscle invasive bladder cancer (BCa) is crucial. Current tools like EORTC and CUETO risk tables show limitations, prompting research into novel biomarkers for improved patient risk stratification.
Area of Science:
- Uro-oncology
- Cancer biomarkers
- Clinical prediction tools
Background:
- Non-muscle invasive bladder cancer (BCa) frequently recurs and progresses.
- Accurate risk stratification is essential for optimal treatment and follow-up.
- Existing risk assessment tools have demonstrated limitations in predicting outcomes.
Purpose of the Study:
- To review the literature on prediction tools for non-muscle invasive bladder cancer.
- To evaluate the accuracy and limitations of current risk stratification methods.
- To explore the potential of novel biomarkers in improving risk prediction.
Main Methods:
- Non-systematic literature review.
- Analysis of clinicopathological features used in existing risk tables (EORTC, CUETO).
- Assessment of studies investigating immunological, biochemical, and genetic biomarkers.
Main Results:
- Traditional risk tables (EORTC, CUETO) based on clinicopathology show suboptimal accuracy.
- External validations highlight the need for incorporating factors like TURBT quality and treatment adherence.
- Emerging biomarkers show promise in predicting recurrence and progression risk.
Conclusions:
- Current prediction tools for non-muscle invasive bladder cancer require updates.
- Integration of novel biomarkers with updated clinicopathological features is a promising future direction.
- Improved risk stratification will enhance personalized therapeutic strategies and follow-up schemes.
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