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DNMT3B drives neuroendocrine lineage plasticity and aggressive progression in prostate cancer

GSE302864 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/07/30 Platform GPL20301
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: 3 × MSKCC-EF1-sgSC vs 3 × NCI-H660-sgSC vs 3 × MSKCC-EF1-sgDNMT3B vs 3 × NCI-H660-sgDNMT3BGroups 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.
Summary (written by the submitters)
Neuroendocrine prostate cancer (NEPC) is an aggressive, treatment-resistant subtype of prostate cancer characterized by poor prognosis and limited therapeutic options. In this study, we identify de novo DNA methyltransferase 3B (DNMT3B) as a critical driver of NEPC growth and neuroendocrine differentiation. We demonstrate that DNMT3B expression is significantly upregulated during prostate cancer progression and is essential for NEPC cell proliferation, as its genetic inhibition via CRISPR-Cas9 and inducible shRNA systems impairs tumor growth and promotes apoptosis both in vitro and in vivo.
Read the full summary ↓
Transcriptomic profiling reveals that DNMT3B loss disrupts cell cycle regulation and suppresses neuroendocrine lineage programs by downregulating key transcription factors such as FOXA2, NEUROD1, SOX2, and INSM1. Moreover, DNMT3B is required for both the initiation and maintenance of NEPC in a human genetically engineered prostate cancer model. Pharmacological inhibition of DNMT3B with Nanaomycin A selectively suppresses NEPC tumor growth and attenuates neuroendocrine marker expression without causing systemic toxicity. These findings establish DNMT3B as a central regulator of NEPC and support its potential as a therapeutic target for this lethal cancer subtype
This dataset
Open GSE302864 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 GSE302864_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 PRJNA1292727 and SRA study SRP601477. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × MSKCC-EF1-sgSC vs 3 × NCI-H660-sgSC vs 3 × MSKCC-EF1-sgDNMT3B vs 3 × NCI-H660-sgDNMT3B

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.