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MECOM: A novel player in AR-driven Treatment Resistant Castration-Resistant Prostate Cancer

GSE292273 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 46 samples Submitted 2026/01/05 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 46 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Topic
Prostate cancerThis series is part of our curated briefing on it.
Samples
46 samples: 11 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
MECOM Function Is Critical for AR-Driven Treatment-Resistant Prostate CancerCancer research · 2026
Summary (written by the submitters)
Reprogramming of the androgen receptor (AR) cistrome is associated with disease progression, and advanced castrate-resistant prostate cancers (CRPC) tend to rely on a reprogrammed/non-canonical AR signaling that is addictive to AR signaling inhibitor (ARSI) resistance. We identified EVI1, an oncogenic nuclear transcription factor, EVI1 coded by MECOM, as a novel AR-recruited co-activator for non-canonical signaling.
Read the full summary ↓
MECOM is exclusively overexpressed CRPC and enzalutamide-resistant CRPC and interacts with AR in the nucleus. MECOM knockdown cells exhibited decreased proliferation and critical cell survival transcriptional programs, suppressed super-enhancer (SE) activity, and affected non-canonical AR signature profiles. Intriguingly, MECOM overexpression is vulnerable to PARP inhibitors regardless of DDR or HRR gene mutation status. These insights uncover the mechanistic role of MECOM in AR reprogrammed cistrome and its vulnerability. More importantly, this study suggests that MECOM overexpression may be another biomarker that could significantly broaden the use of PARP inhibitors beyond those with HRR gene mutations.
Published in
MECOM Function Is Critical for AR-Driven Treatment-Resistant Prostate Cancer
Gulla S, Sharma T, Gardner E et al. · Cancer research 2026 · PMID 41529070 · doi:10.1158/0008-5472.CAN-25-1720
This dataset
Open GSE292273 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 GSE292273_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1237812 and SRA study SRP571341. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41529070) ↗
Study design
11 conditions, mostly in triplicate
LREX_Control ×3 LREX_shMECOM ×3 C42B-ER_Control ×3 C42B-ER_shMECOM ×3 CWRR1_Control ×3 CWRR1_shMECOM ×3 Input (pulled) ×2 LREX-Control-1 ×2 +21 more

Supports a between-group comparison across 28 samples.

How we read this: 11 replicated groups read from 46 sample titles; they account for 28 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

+ 6 more — browse all 46 samples with per-sample file links →

More Prostate cancer datasets

Search all human RNA-seq datasets in GEO →

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