GEO series

Activation of the NF-κB/ALDH1A1 Signaling Promotes Non-Mutational Resistance to EGFR-TKIs in Non-Small Cell Lung Cancer

GSE324066 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 6 samples Submitted 2026/10/01 Platform GPL24676

At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 6 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: 6 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)

Acquired resistance to tyrosine kinase inhibitors (TKIs) remains a major clinical challenge in the treatment of EGFR-mutant non-small cell lung cancer (NSCLC). This study established TKI-resistant variants by integrating cell lines, lung cancer organoids (LCOs), and in vivo models, revealing the pivotal role of the NF-κB/ALDH1A1 signaling in mediating non-mutational TKI resistance.

Read the full summary ↓

Resistant cells exhibited elevated RELA phosphorylation, enhanced ALDH1A1 expression and enzymatic activity, and stem-like properties. Mechanistically, NF-κB activation occurred as an early response to TKI exposure and promoted ALDH1A1 transcription via RELA. In turn, ALDH1A1 contributed to the sustained activation of NF-κB signaling, forming a self-reinforcing positive feedback loop.. Genetic ALDH1A1 or RELA silencing reversed the resistant phenotype. Pharmacologically, treatment with an EGFR-TKI and the ALDH1A1 inhibitor disulfiram or the NF-κB-targeting agent EGCG synergistically restored the antitumor efficacy of TKIs both in vitro and in vivo. These findings establish the NF-κB/ALDH1A1 signaling as a key non-genetic mechanism of acquired EGFR-TKI resistance and provide a rational combination strategy to overcome it.

This dataset

Open GSE324066 in finder → Find more human ChIP / ATAC / CUT&Tag 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 GSE324066_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1433375 and SRA study SRP681634. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 6 more — browse all 6 samples with per-sample file links →

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