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ALKBH5-IGF2BP2 Axis Mediates Prostate Cancer Progression and Docetaxel Resistance via m6A-Stabilized CLSPN RNA

GSE306057 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/12/02 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 12 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
ALKBH5-IGF2BP2 axis mediates prostate cancer progression and docetaxel resistance via m6A-stabilized CLSPN RNAiScience · 2025
Summary (written by the submitters)
Prostate cancer (PCa) often progresses to castration-resistant PCa (CRPC), where docetaxel (DTX) resistance is a major challenge. We investigated the role of the m6A demethylase ALKBH5 in this resistance. ALKBH5 expression was significantly reduced in CRPC clinical samples. Functionally, overexpressing ALKBH5 inhibited PCa cell proliferation and migration, while its knockdown enhanced these effects and increased DTX resistance.
Read the full summary ↓
Conversely, restoring ALKBH5 or knocking down the m6A reader IGF2BP2 reversed resistance. Multi-omics analysis identified CLSPN, a DNA replication stress regulator, as a key downstream target. Mechanistically, ALKBH5-mediated m6A demethylation reduces CLSPN mRNA stability in an IGF2BP2-dependent manner. Low ALKBH5, therefore, stabilizes CLSPN via IGF2BP2, promoting resistance. These findings, validated in clinical samples and organoid models, demonstrate that the ALKBH5-IGF2BP2 axis modulates DTX resistance in mCRPC through m6A-dependent regulation of CLSPN. Targeting this pathway represents a promising therapeutic strategy to overcome DTX resistance.
Published in
ALKBH5-IGF2BP2 axis mediates prostate cancer progression and docetaxel resistance via m6A-stabilized CLSPN RNA
Chen Y, Li Y, Liang Z et al. · iScience 2025 · PMID 41069850 · doi:10.1016/j.isci.2025.113520
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 GSE306057_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 PRJNA1309036 and SRA study SRP610462. Searching any of these in the dataset finder brings you back here.

Study design
12 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 12 sample titles: 12 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
More Prostate cancer datasets

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