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Treatment of prostate cancer cell lines with Androgen Receptor and Receptor Tyrosine Kinase inhibitors

GSE222196 Homo sapiens (human) RNA-seq (gene expression) 246 samples Submitted 2025/08/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 246 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
Prostate cancerThis series is part of our curated briefing on it.
Samples
246 samples: 116 conditions, mostly in duplicateGroups 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
Localized high-risk prostate cancer harbors an androgen receptor activity-low subpopulation susceptible to HER2 inhibitionThe Journal of clinical investigation · 2025
Summary (written by the submitters)
Androgen receptor (AR)-targeted therapy is the mainstay of systemic treatments for recurrent and metastastic prostate cancer given the tumor cell's dependency on testosterone signaling for growth and survival. However, numerous bypass pathways have been nominated that may circumvent AR in the context of AR-targeted therapies. In this project, we tested whether AR and receptor tyrosine kinase (RTK) activity opposed each other and if inhibition of one promoted the activation of another.
Read the full summary ↓
We assessed the impact of AR or RTK inhibition in three prostate cancer cell lines over a 5-day time course. We then performed paired-end RNA-seq to assess differential gene expression. Our findings suggest that the AR and HER2 pathways dynamically interact with each other at the transcriptional level.
Published in
Localized high-risk prostate cancer harbors an androgen receptor activity-low subpopulation susceptible to HER2 inhibition
Wilkinson S, Ku AT, Lis RT et al. · The Journal of clinical investigation 2025 · PMID 40906535 · doi:10.1172/JCI189900
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 GSE222196_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 PRJNA918580 and SRA study SRP415944. Searching any of these in the dataset finder brings you back here.

Study design
116 conditions, mostly in duplicate
22Rv1, NER, 0 days, ×4 22Rv1, NER, 3 days, ×4 22Rv1, NER, 5 days, ×3 LNCap, GEF, 0 days, ×3 LNCap, GEF, 1 day, ×3 LNCap, GEF, 3 days, ×3 LNCap, GEF, 5 days, ×3 LNCap, DAC, 0 days, ×2 +113 more

Supports a between-group comparison across 241 samples.

How we read this: 116 replicated groups read from 246 sample titles; they account for 241 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

+ 206 more — browse all 246 samples with per-sample file links →

More Prostate cancer datasets

Search all human RNA-seq datasets in GEO →

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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.