A Long Noncoding RNA–based Classifier for Identifying More Aggressive Low-grade Ta Bladder Cancer with Elevated FGFR3 Activity

Key Points

• The aim is to develop a classifier that can identify aggressive low-grade Ta bladder cancer based on RNA analysis.
• Developed a single-sample transcriptomic classifier
• Evaluated reproducibility across different platforms
• Focused on non-muscle invasive bladder cancer (NMIBC) cases
• The classifier effectively identifies aggressive TaLG NMIBC
• Demonstrated reproducibility in various testing environments
• Potential to enhance clinical decision-making if validated

Abstract