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Transcriptomic profiling of LNCaP cells treated with enzalutamide, olaparib, or combination across multiple time points

GSE303975 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2025/08/04 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 36 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)
Samples
36 samples: 12 conditions, mostly in triplicateGroups 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
Androgen receptor inhibition extends PARP inhibitor activity in prostate cancer models beyond BRCA mutations and defects in homologous recombination repairNAR cancer · 2025
Summary (written by the submitters)
To explore the mechanisms underpinning the combinatorial effects of androgen pathway and PARP inhibition on global gene expression in prostate cancer, we performed RNA sequencing analysis in LNCaP prostate cancer cells. Cells were treated with either single agents or the combination, and transcriptomic changes were asssed at early (8 hours), intermediate (24 hours), and late (72 hours) timepoints to assess temporal dynamics of treatment response.
Read the full summary ↓
Comparative analyses between single-agent and combination treatments enabled the characterisation of transcriptional programs induced by the combinatorial regimen.
Published in
Androgen receptor inhibition extends PARP inhibitor activity in prostate cancer models beyond BRCA mutations and defects in homologous recombination repair
Illuzzi G, Galbiati A, Staniszewska AD et al. · NAR cancer 2025 · PMID 41064809 · doi:10.1093/narcan/zcaf035
This dataset
Open GSE303975 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE303975_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1298340 and SRA study SRP604399. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41064809) ↗
Study design
12 conditions, mostly in triplicate
Olaparib _72h ×3 DMSO_8h ×3 Enzalutamide_72h ×3 Combination_8h ×3 Enzalutamide_8h ×3 Olaparib _8h ×3 Combination_24h ×3 Olaparib _24h ×3 +4 more

Supports a between-group comparison across 36 samples.

How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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
Datasets on a similar topic

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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.