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Research Paper | Synapse

March 3, 2026European Urology Oncology0 citationsOpen Access

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

TPTran Anh Thu PhungUniversity of British Columbia RWRachel WengBoston Children's Hospital PBPeter C. BlackUniversity of British Columbia

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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Cite This Study

Phung et al. (Sun,) studied this question.

synapsesocial.com/papers/69a67dd6f353c071a6f09dce https://doi.org/https://doi.org/10.1016/j.euo.2026.02.020