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Change in prostate tissue gene expression following finasteride or doxazosin administration in the Medical Therapy for Prostatic Symptoms (MTOPS) Study

GSE262946 Homo sapiens (human) RNA-seq (gene expression) 216 samples Submitted 2024/08/28 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 216 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
216 samples: 216 samples, each with a distinct title — no replicated groupsGroups 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
Change in prostate tissue gene expression following finasteride or doxazosin administration in the medical therapy for prostatic symptoms (MTOPS) studyScientific reports · 2024
Summary (written by the submitters)
Benign prostatic hyperplasia (BPH) may decrease patient quality of life and often leads to acute urinary retention and surgical intervention. While effective treatments are available, many BPH patients do not respond or develop resistance to treatment. To understand molecular determinants of BPH treatment resistance, we investigated gene expression profiles before and after treatments in the prostate transitional zone of 108 participants in the Medical Therapy of Prostatic Symptoms (MTOPS) Trial.
Read the full summary ↓
Unsupervised clustering revealed molecular subgroups characterized by expression changes in a large set of genes associated with resistance to finasteride, a 5α-reductase inhibitor. Pathway analyses within this gene cluster found finasteride administration induced changes in fatty acid metabolism, amino acid metabolism, immune response, steroid hormone metabolism, and kinase activity within the transitional zone. We found that patients without this transcriptional response were highly likely to develop drug resistance, which is expected in 33% of finasteride-treated patients. Importantly, a patient’s transcriptional response to finasteride was associated with their pre-treatment kinase expression. Further, we identified novel expression signatures of finasteride resistance among the transcriptionally responded patients. These patients showed different gene expression profiles at baseline and increased prostate transitional zone volume compared to the patients who responded to the treatment. Our work suggests molecular mechanisms of resistance to finasteride treatment that could be potentially helpful for personalized BPH treatment as well as new drug development to increase patients drug response.
Published in
Change in prostate tissue gene expression following finasteride or doxazosin administration in the medical therapy for prostatic symptoms (MTOPS) study
Choi HY, Torkko KC, Lucia MS et al. · Scientific reports 2024 · PMID 39160179 · doi:10.1038/s41598-024-69301-x
This dataset
Open GSE262946 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 GSE262946_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 PRJNA1094972 and SRA study SRP499056. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39160179) ↗
Study design
216 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 216 sample titles: 216 distinct titles with little repetition. 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

+ 176 more — browse all 216 samples with per-sample file links →

Datasets on a similar topic

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.