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TNG260, a novel small-molecule CoREST inhibitor, sensitizes STK11-mutant tumors to anti-PD-1 immunotherapy

GSE298051 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2025/08/15 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 24 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
Mus musculus (mouse)
Samples
24 samples
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)
Non-small cell lung cancer (NSCLC) patients with loss of the tumor suppressor gene STK11 are resistant to immune checkpoint therapies like anti-PD-1. Our in vivo CRISPR screen identified HDAC1 as a target that, when inhibited, reversed anti-PD-1 resistance driven by loss of STK11. We developed TNG260, a potent small-molecule inhibitor of the CoREST complex, whose selectivity exceeds previously generated inhibitors in this class in preclinical studies.
Read the full summary ↓
TNG260 led to increased expression of immunomodulatory genes in STK11-deficient cancer cells. When combined with anti-PD-1, TNG260 induced immune-mediated stasis and/or regression in STK11-deficient syngeneic tumor models and autochthonous NSCLC models. In the tumors of patients with STK11-deficient cancers, treatment with a combination of TNG260 and pembrolizumab (NCT05887492) increased intratumoral histone acetylation, PD-L1 tumor proportion scores, and T-cell infiltration to the tumor microenvironment. This study illustrates a new, promising treatment strategy for addressing immune evasion in STK11-mutant NSCLC patients.
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 GSE298051_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 PRJNA1267170 and SRA study SRP587314. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 24 more — browse all 24 samples with per-sample file links →

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