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Transcriptomic profiling performed in bladder carcinomas collected from Neodurvarib clinical trial (NCT03534492)

GSE225066 Homo sapiens (human) RNA-seq (gene expression) 26 samples Submitted 2025/01/17 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 26 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Topic
Bladder cancerThis series is part of our curated briefing on it.
Samples
26 samples: 16 × SCRNEO vs 10 × QNEOGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Treatment Efficacy and Molecular Dynamics of Neoadjuvant Durvalumab and Olaparib in Resectable Urothelial Bladder Cancer: The NEODURVARIB TrialClinical cancer research : an official journal of the American Association for Cancer Research · 2025
Summary (written by the submitters)
RNASeq profiling of bladder carcinomas from different histologies (urothelial carcinomas or squamous cell carcinomas) which were collected at different moments of the Neodurvarib-related clinical procedure (pretreatment ("SCR") or post-treatment ("Q")).
Read the full summary ↓
The main goals of the screening were 1) to define potential predictive/prognostic biomarkers (genes or molecular pathways) through the comparison of diagnostic samples ("SCR") according to the clinical response observed in the patients under study; ii) to evaluate the molecular changes observed in the tumors under study by comparing the profiles of diagnostic samples ("SCR") versus cystectomies ("Q"), which would be a direct consequence of the neoadjuvant therapy used in this clinical trial.
Published in
Treatment Efficacy and Molecular Dynamics of Neoadjuvant Durvalumab and Olaparib in Resectable Urothelial Bladder Cancer: The NEODURVARIB Trial
Rodríguez-Moreno JF, de Velasco G, Álvarez-Fernández C et al. · Clinical cancer research : an official journal of the American Association for Cancer Research 2025 · PMID 40298406 · doi:10.1158/1078-0432.CCR-24-2890
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE225066_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA933649 and SRA study SRP421883. Searching any of these in the dataset finder brings you back here.

Study design
16 × SCRNEO vs 10 × QNEO

Supports a between-group comparison across 26 samples.

How we read this: 2 replicated groups read from 26 sample titles; they account for 26 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
More Bladder cancer datasets

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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.