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Highly effective combination of BRG1/BRM inhibitor with BET inhibitor or decitabine for high-risk MECOM-rearranged AML [RNA-seq]

GSE297480 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2026/01/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 14 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
Acute myeloid leukemiaThis series is part of our curated briefing on it.
Samples
14 samples: 6 conditions, mostly in duplicateGroups 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
Highly effective combination of BRG1/BRM inhibitor with BET inhibitor or decitabine for high-risk MECOM-rearranged AMLHemaSphere · 2026
Summary (written by the submitters)
In AML with 3q26.2 rearrangements (r) the distal GATA2 hematopoietic enhancer becomes aberrantly relocated leading to activation of EVI1 expression EVI1 is a transcriptional regulator that plays a role in proliferation and maintenance of a stem cell-like phenotype in AML. BRG1 (SMARCA4) and BRM (SMARCA2) are the mutually exclusive ATPases of the BAF (BRG1/BRM-associated factor) chromatin remodeling complexes.
Read the full summary ↓
They regulate access to enhancers/promoters and gene-expressions orchestrating AML stem/progenitor cell proliferation and differentiation. AML with 3q26.2 rearrangements are clinically challenging and prognosis remains very poor. FHD-286 is an orally bioavailable, selective inhibitor of BRG1/BRM under clinical development in AML. Present studies show that FHD-286 induced differentiation and lethality in AML cells with MECOM-r, perturbed chromatin accessibility and depleted expression of EVI1, c-Myc, CD44 and CDK4. Co-treatment with FHD-286 and decitabine, BET inhibitor (BETi) or HAT inhibitor synergistically induced in vitro lethality in patient-derived AML cells with MECOM-r. In patient-derived xenograft (PDX) models of AML with MECOM-r, compared to each drug, co-treatment with FHD-286 and BETi OTX015 significantly reduced AML burden and improved survival, without inducing significant toxicity. These findings highlight the FHD-286-based combinations as promising therapy of AML with chromosome 3q26.2 rearrangement and EVI1 overexpression.
Published in
Highly effective combination of BRG1/BRM inhibitor with BET inhibitor or decitabine for high-risk MECOM-rearranged AML
Fiskus W, Mill CP, Piel J et al. · HemaSphere 2026 · PMID 41551728 · doi:10.1002/hem3.70289
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 GSE297480_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 PRJNA1264983 and SRA study SRP586222. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
AML242 Control ×3 AML242 100 nM FHD-286 ×3 UCSD-AML1 Control ×2 UCSD-AML1 100 nM FHD-286 ×2 AML191 Control ×2 AML191 100 nM FHD-286 ×2

Supports a between-group comparison across 14 samples.

How we read this: 6 replicated groups read from 14 sample titles; they account for 14 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 Acute myeloid leukemia 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.