← BioTransfer GEO Dataset Finder
GEO series

LEADR ncRNA dampens interferon signalling in bladder cancer

GSE293534 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/06/16 Platform GPL34284
Summary
Bladder cancer affects over half a million people worldwide each year. Recent advances in early detection allowed a successful management of non-aggressive cancers, yet the recurrence rate remains high. Aggressive muscle-invasive bladder tumours are life-threatening and challenging to cure. Therefore, understating of key molecular pathways involved in cancer progression is critical for developing of new personalised targeted therapies. Recently, non-coding RNAs (ncRNAs) have emerged as key regulators orchestrating complex biological processes in cancer, yet their function is not fully understood. Here, we compare non-muscle invasive and muscle invasive cell lines and identify a ncRNA gene MIR205HG and its transcript LEADR among the top ncRNAs lost in muscle invasive urothelial tumours. We show that LEADR expression is epigenetically regulated by master transcription factor p63. LEADR is localised in the nuclei of non-muscle invasive bladder cancer cells where it dampens hyperactivation of interferon stimulated genes possibly increasing sensitivity of bladder cancer cells to interferon signalling. These findings uncover an anti-tumoral role of non-coding RNA LEADR in mediating immune response in bladder cancer.
Published in
LEADR, a p63 target, dampens interferon signalling in bladder cancer
Barnaba D, Franzese Canonico M, Helmer-Citterich M et al. · Cell death discovery 2025 · PMID 40461454 · doi:10.1038/s41420-025-02546-1
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE293534_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1177344. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.