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ABSTRACT: Background
To evaluate whether long non-coding RNA (lncRNA) expression patterns can improve molecular stratification and outcome prediction in high-risk non-muscle-invasive bladder cancer (NMIBC).Methods
RNA sequencing data from high-grade Ta (TaHG) and T1 (n = 212) tumours from the UROMOL consortium (Lindskrog et al., Nature Communications 2021) were analysed. Unsupervised consensus clustering based on lncRNA expression patterns identified distinct patient subgroups, which were characterized using gene expression patterns and gene signatures. A single-sample classifier was trained using elastic net logistic regression on UROMOL lncRNA expression profiles and applied to the Knowles cohort for independent validation. Recurrence-free survival (RFS) and progression-free surviv
SUBMITTER: Weng R
PROVIDER: S-EPMC12715591 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature