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Superior preclinical efficacy of co-treatment with BRG1/BRM and FLT3 inhibitor against AML cells with FLT3 mutations

GSE289713 Homo sapiens (human) RNA-seq (gene expression) 11 samples Submitted 2025/03/19 Platform GPL34281
At a glance

RNA-seq (gene expression) · human · 11 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)
Samples
11 samples: 3 × OCI-AML3 Control vs 3 × OCI-AML3 100 nM FHD-286 vs 3 × OCI-AML3-FLT3-ITD Control vs 2 × OCI-AML3 FLT3-ITD 100 nM FHD-286Groups 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
Superior preclinical efficacy of co-treatment with BRG1/BRM and FLT3 inhibitor against AML cells with FLT3 mutationsBlood cancer journal · 2025
Summary (written by the submitters)
Although treatment with standard frontline therapies, including a FLT3 inhibitor (FLT3i) reduces AML burden and achieves clinical remissions, most patients with AML with FLT3 mutation relapse due to therapy-resistant stem/progenitor cells. The core ATPases, BRG1 (SMARCA4) and BRM (SMARCA2) of the canonical (c) BAF (BRG1/BRM-associated factor) complex is a dependency in AML cells, including those harboring FLT3 mutations.
Read the full summary ↓
We have previously reported that treatment with FHD-286, a BRG1/BRM ATPases inhibitor, induces differentiation and loss of viability of AML stem/progenitor cells. Findings of present studies demonstrate that treatment with FHD-286 induces lethality in AML cells, regardless of sensitivity or resistance to FLT3i. This efficacy is associated with the induction of gene-expression perturbations responsible for growth inhibition, differentiation, as well as a reduced AML-initiating potential of the AML cells. Additionally, co-treatment with FHD-286 and FLT3i exerts superior pre-clinical efficacy against AML cells and patient-derived (PD) xenograft (PDX) models of AML with FLT3 mutations.
Published in
Superior preclinical efficacy of co-treatment with BRG1/BRM and FLT3 inhibitor against AML cells with FLT3 mutations
Fiskus W, Mill CP, Piel J et al. · Blood cancer journal 2025 · PMID 40089460 · doi:10.1038/s41408-025-01251-7
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 GSE289713_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 PRJNA1224244 and SRA study SRP564155. Searching any of these in the dataset finder brings you back here.

Study design
3 × OCI-AML3 Control vs 3 × OCI-AML3 100 nM FHD-286 vs 3 × OCI-AML3-FLT3-ITD Control vs 2 × OCI-AML3 FLT3-ITD 100 nM FHD-286

Supports a between-group comparison across 11 samples.

How we read this: 4 replicated groups read from 11 sample titles; they account for 11 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
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