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RAS pathway activation and microenvironmental adaptation as hallmarks of myeloid sarcoma

GSE279256 Homo sapiens (human) RNA-seq (gene expression) 108 samples Submitted 2026/05/03 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 108 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
108 samples: 105 distinct titles, 1 of them repeatedGroups 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)
Myeloid sarcoma, an aggressive extramedullary subtype of acute myeloid leukemia (AML), occurs in up to 20% of patients, and remains strikingly understudied in large-scale genomic and multiomic investigations. The key biological drivers of its tumor evolution are largely unknown, timely detection in asymptomatic patients poses a clinical challenge, and effective treatment options are limited as patients are often excluded from clinical trials, rendering it a largely neglected disease entity.
Read the full summary ↓
Here, we demonstrate that myeloid sarcoma evolves from medullary AML but exhibits distinct site-specific clonal evolution patterns. This is supported by unique transcriptional signatures of myeloid sarcoma that reflect adaptation to the extramedullary microenvironment. Also, we establish a proof of concept that circulating tumor DNA sequencing can capture the molecular composition of myeloid sarcoma, offering a potential non-invasive approach for molecular profiling of extramedullary AML. Collectively, our findings highlight marked biologic differences between medullary AML and myeloid sarcoma, including universal molecular evolution and RAS pathway activation as hallmarks of the disease.
This dataset
Open GSE279256 in finder → Find more human RNA-seq datasets → Acute myeloid leukemia 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 GSE279256_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 PRJNA1171728. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
105 distinct titles, 1 of them repeated
Pt_8_MS ×4

How we read this: Read from 108 sample titles: 105 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

+ 68 more — browse all 108 samples with per-sample file links →

More Acute myeloid leukemia datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

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.