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E7820, an Anti-Cancer Sulfonamide, Degrades RBM39 in Patients with Splicing Factor Mutant Myeloid Malignancies: A Phase II Clinical Trial

GSE227343 Homo sapiens (human) RNA-seq (gene expression) 29 samples Submitted 2024/09/30 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 29 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
29 samples: 29 samples, each with a distinct title — no replicated groupsGroups 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)
Mutations in RNA splicing factor genes (SF3B1, SRSF2, and U2AF1) are common in AML and MDS and recent studies demonstrate pharmacologic degradation of the RNA splicing factor RBM39 results in preferential killing of splicing factor mutant cells. We therefore conducted a phase II clinical trial (NCT05024994) of the oral RBM39 degrader E7820 at the recommended phase II dose in patients with R/R MDS/AML and a splicing factor mutation.
Read the full summary ↓
No patients met the primary endpoint of overall response rate in the first 12 patients enrolled, leading to study termination. However, E7820 was well-tolerated and achieved >50% RBM39 degradation in blood and disruption of splicing. At the same time, the degree of splicing disruption was far less than seen with in vitro doses exhibiting preclinical efficacy, providing potential explanation for limited clinical efficacy. Overall, this study demonstrates on-target safety and feasibility of RBM39 degradation in patients and supports future combination therapies with E7820.
This dataset
Open GSE227343 in finder → Find more human RNA-seq datasets →
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 GSE227343_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 PRJNA944678 and SRA study SRP427290. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
29 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 19 samples read as cases, 7 as controls.

How we read this: Read from 29 sample titles: 29 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
Datasets on a similar topic

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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.