What question did this study set out to answer?

The aim is to develop a classifier that can identify aggressive low-grade Ta bladder cancer based on RNA analysis.

March 3, 2026Open Access

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

We developed a single-sample transcriptomic classifier identifying aggressive TaLG NMIBC, demonstrating reproducibility across platforms. If validated, this model has the potential to support clinical decision-making.

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