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Transcriptomic profiling of primary human prostate cancer-associated fibroblasts (CAFs) in response to ADT and Enzalutamide

GSE328022 Homo sapiens (human) RNA-seq (gene expression) 9 samples Submitted 2026/06/10 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 9 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
9 samples: 3 × Vehicle vs 3 × ADT vs 3 × ADT_EnzaGroups 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
Therapeutic pressure drives the evolution of a protective ecotype characterized by AR-loss-induced senescence in prostate cancerTheranostics · 2026
Summary (written by the submitters)
Cancer-associated fibroblasts (CAFs) are critical components of the prostate tumor microenvironment and modulate therapeutic responses. In this study, we aimed to investigate the transcriptomic alterations in primary human prostate cancer CAFs subjected to different anti-androgen treatments. Primary CAFs were isolated from human prostate cancer tissues and cultured in vitro.
Read the full summary ↓
The cells were divided into three treatment groups: Vehicle (control), Androgen Deprivation Therapy (ADT), and a combination of ADT plus Enzalutamide (ADT_Enza). High-throughput RNA sequencing (RNA-seq) was performed on 9 samples (3 biological replicates per group) to identify differentially expressed genes and underlying molecular mechanisms. This dataset provides a comprehensive stromal transcriptomic landscape, offering insights into how CAFs react to standard-of-care prostate cancer therapies.
Published in
Therapeutic pressure drives the evolution of a protective ecotype characterized by AR-loss-induced senescence in prostate cancer
He L, Jiang J, Liu S et al. · Theranostics 2026 · PMID 42244988 · doi:10.7150/thno.134940
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 GSE328022_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 PRJNA1453527 and SRA study SRP691815. Searching any of these in the dataset finder brings you back here.

Study design
3 × Vehicle vs 3 × ADT vs 3 × ADT_Enza

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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 Prostate 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.