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TRPM4 Expression as a Predictive Biomarker and a Mechanistic Driver of Acetalax Activity in Prostate Cancer: Preclinical Efficacy Studies.

GSE313554 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2026/06/22 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 8 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
TRPM4 Expression as a Predictive Biomarker and a Mechanistic Driver of Acetalax Activity in Prostate Cancer: Preclinical Efficacy StudiesMolecular cancer therapeutics · 2026
Summary (written by the submitters)
Acetalax, a repurposed ion‐transport–targeting compound, induces rapid oncosis-like cell death selectively in TRPM4-expressing cancer cells. Here, we investigated TRPM4 as a mechanistic driver and predictive biomarker of Acetalax response in prostate cancer. Across prostate cancer cell lines, TRPM4-high cells (PC3, LNCaP, 22Rv1) exhibited Acetalax sensitivity, cell swelling, nuclear enlargement, membrane blebbing, and proteasome-dependent TRPM4 degradation, whereas TRPM4-low DU145 cells were resistant.
Read the full summary ↓
Chronic Acetalax exposure generated resistant clones characterized by complete loss of TRPM4 expression. RNA sequencing of parental and resistant cells identified TRPM4 loss–associated transcriptomic remodeling, including upregulation of proliferative programs and suppression of inflammatory and stress-response pathways. In TRPM4-positive prostate cancer patient-derived xenograft (PDX) models (LuCaP147 and LuCaP167), Acetalax significantly suppressed tumor growth without inducing body-weight loss. TRPM4 expression was consistently elevated in prostate tumors relative to benign tissues and remained high across disease stages and Gleason grades. Together, these results define TRPM4 as a mechanistic determinant of Acetalax sensitivity and provide a rationale for TRPM4-based patient stratification and the development of Acetalax for treatment-refractory prostate cancer.
Published in
TRPM4 Expression as a Predictive Biomarker and a Mechanistic Driver of Acetalax Activity in Prostate Cancer: Preclinical Efficacy Studies
Hoshi-Kadonosawa Y, Reinhold WC, Taniyama D et al. · Molecular cancer therapeutics 2026 · PMID 42018155 · doi:10.1158/1535-7163.MCT-26-0011
This dataset
Open GSE313554 in finder → Find more human RNA-seq datasets → Prostate cancer landscape →
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 GSE313554_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 PRJNA1380310 and SRA study SRP654745. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42018155) ↗
Study design
8 conditions, mostly in triplicate
PC3 parental control, ×3 PC3 parental Acetalax 10uM 4h, ×3 LNCaP parental control, ×3 LNCaP parental Acetalax 10uM 4h, ×3 PC3 CE control, ×3 PC3 CE Acetalax 10uM 4h, ×3 LNCaP CE control, ×3 LNCaP CE Acetalax 10uM 4h, ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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.