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Super-enhancers reorganization controls re-sensitization of oxaliplatin-resistant FBXW7-mutated colorectal cancer [ChIP-seq]

GSE256187 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 20 samples Submitted 2026/02/22 Platform GPL11154
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 20 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)
Samples
20 samples: 20 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.
Paper
Class IIa HDACs forced degradation allows resensitization of oxaliplatin-resistant FBXW7-mutated colorectal cancerMolecular oncology · 2026
Summary (written by the submitters)
Epigenetic plasticity and large-scale chromatin remodeling characterize tumor evolution and the emergence of subclones resistant to conventional therapies. Catalytically inactive class IIa HDACs (HDAC4, HDAC5, HDAC7, HDAC9) act as acetyl-lysine readers that form the scaffold for the targeted recruitment of chromatin remodeling complexes, making them very attractive therapeutic targets in the field of oncology.
Read the full summary ↓
In this study, we found that HDAC4 is proteasomal degraded in cancer cells impaired in DNA repair by homologous recombination. Genetic screening identified FBXW7 as the E3 ligase responsible for this degradation. FBXW7 loss-of-function mutations are frequently found in patients with colorectal cancer (CRC), and FBXW7 mutation status is associated with the development of resistance to oxaliplatin. Deletion of HDAC4 or its forced degradation with a PROTAC-based compound restored oxaliplatin sensitivity in FBXW7-mutated CRC cells, patient-derived organoids (PDOs) and xenografts, with no effect on DNA damage response activation or DNA platination. Mechanistically, forced removal of HDAC4 in FBXW7-mutant CRC cells and PDOs treated with oxaliplatin resulted in a deep rearrangement of the super-enhancer landscape, with a dramatic loss of super-enhancers found in oxalipaltin-resistant samples and restoration of certain super-enhancers found in oxaliplatin-sensitive cells. The disassembly of HDAC4 complexes achieved with Tasquinimod partially recapitulated the effects obtained with the PROTAC-based HDAC4 compound, demonstrating the importance of the epigenetic function of HDAC4 in supporting drug resistance. This study supports HDAC4 as a key mediator of oxaliplatin resistance in FBXW7-mutated CRC and highlights the remodeling of a well-defined repertoire of super-enhancers as part of the process of successful re-sensitization.
Published in
Class IIa HDACs forced degradation allows resensitization of oxaliplatin-resistant FBXW7-mutated colorectal cancer
Tolotto V, Gualandi N, Cortolezzis Y et al. · Molecular oncology 2026 · PMID 41174352 · doi:10.1002/1878-0261.70152
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 GSE256187_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1078385 and SRA study SRP490512. Searching any of these in the dataset finder brings you back here.

Study design
20 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 20 sample titles: 20 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
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