RNA-seq Profiling of Response to Cisplatin and Gemcitabine Chemotherapy in Advanced Urothelial Carcinoma: An External Validation Cohort
RNA-seq (gene expression) · human · 10 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
- 10 samples: 7 × PR, Sample vs 3 × PD, SampleGroups 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
- Transcriptome-based Deep Learning Model for Predicting Gemcitabine and Cisplatin Chemotherapy Response in Urothelial Carcinoma: Development and External ValidationCancer genomics & proteomics · 2026
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE290327_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1078523 and SRA study SRP490574. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8810757 PR, Sample_1 PR, Sample
- GSM8810758 PR, Sample_2 PR, Sample
- GSM8810759 PR, Sample_3 PR, Sample
- GSM8810760 PR, Sample_4 PR, Sample
- GSM8810761 PR, Sample_5 PR, Sample
- GSM8810762 PR, Sample_6 PR, Sample
- GSM8810763 PR, Sample_7 PR, Sample
- GSM8810764 PD, Sample_8 PD, Sample
- GSM8810765 PD, Sample_9 PD, Sample
- GSM8810766 PD, Sample_10 PD, Sample
- GSE217413 Cisplatin resistance driver gene CLSPN product is a target for immunotherapy in urothelial carcinoma. 4 samples same disease briefing · shares urothelial, cisplatin
- GSE214886 Downregulation of CBX7 induced by EZH2 upregulates FGFR3 expression to reduce sensitivity to cisplatin in bladder cancer 12 samples same disease briefing · shares cisplatin
- GSE171022 Potential Roles of IGF2BP3 in Bladder Cancer [RNA-Seq] 4 samples same disease briefing · shares rna-seq
- GSE212328 RNA-Seq analysis of bladder cancer cells after protodioscin treatment 4 samples same disease briefing · shares rna-seq
- GSE176493 Comprehensive target engagement by EZH2 inhibitor CPI-0209 allows for preferential targeting of ARID1A mutant urothelial carcinoma 252 samples same disease briefing · shares urothelial
- GSE181389 Transcriptome profiling of HOXA13 and HOXB13 expression knockdown in bladder cancer cell lines. 59 samples same disease briefing
- GSE193755 Human bladder cancer cell line high throughput sequencing - genes regulated by hMSH2 12 samples same disease briefing
- GSE211924 UCHL5 promotes Tumorigenesis of Bladder Cancer by Activating AKT/mTOR signaling pathway and targeting c-myc, SLC25A19, and ICAM5. 9 samples same disease briefing
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.