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Molecular and immune profiles linked to androgen response categories in metastatic castration-resistant prostate cancers (mCRPC)

GSE229394 Homo sapiens (human) RNA-seq (gene expression) 56 samples Submitted 2024/03/01 Platform GPL20301Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 56 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
56 samples: 56 × Prostate Cancer PatientGroups 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
A Modular Trial of Androgen Signaling Inhibitor Combinations Testing a Risk-Adapted Strategy in Patients with Metastatic Castration-Resistant Prostate CancerClinical cancer research : an official journal of the American Association for Cancer Research · 2024
Summary (written by the submitters)
Prostate cancer is a heterogenous disease and can be broadly categorized into androgen responsive and androgen indifferent groups. Robust biomarkers to identify them and enable the development of therapeutic strategies specific to each, remain to be defined. We conducted a dynamic, modular clinical trial ("DynAMo") in which 192 men with mCRPC were segregated based on Satisfactory (≥ 50% PSA decline from baseline and <5 CTC/7.5mL) versus Unsatisfactory marker status after 8-weeks of abiraterone, prednisone and apalutamide (ApA).
Read the full summary ↓
Those with Satisfactory status (n=128, 67%) were randomized to continue ApA alone (Module 2A) or with ipilimumab (Module 2B). Median overall survival (OS) and 95% CI was 46.4 (39.2, 68.2) months and 41.4 (33.3, 49.9) months respectively. Patients with Unsatisfactory marker status (n=64, 33%) had carboplatin+cabazitaxel chemotherapy added to ApA (Module 3) and had an OS and 95% CI of 18.7 (14.3, 26.3) months. As part of this study, poly(A) RNA was extracted from 140 fresh frozen cores obtained from 136 patients during pre-treatment biopsies of metastatic sites. Of these, 21 (15.0%) yielded insufficient or poor-quality RNA. Of the 119 cores that were subject to bulk RNA sequencing, 56 (47.1%) from 56 patients passed quality control filters (i.e., RNA total reads ≥60 million, exonic rates ≥0.7, and ≥20,000 genes detected). The sequencing results from these 56 patient samples are provided here.
Published in
A Modular Trial of Androgen Signaling Inhibitor Combinations Testing a Risk-Adapted Strategy in Patients with Metastatic Castration-Resistant Prostate Cancer
Aparicio AM, Tidwell RSS, Yadav SS et al. · Clinical cancer research : an official journal of the American Association for Cancer Research 2024 · PMID 38683200 · doi:10.1158/1078-0432.CCR-23-3740
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 GSE229394_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 PRJNA954354 and SRA study SRP432019. Searching any of these in the dataset finder brings you back here.

Study design
56 × Prostate Cancer Patient

Supports a between-group comparison across 56 samples.

How we read this: 1 replicated groups read from 56 sample titles; they account for 56 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

+ 16 more — browse all 56 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.