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AP-1 Mediates Oncogenic Transcription and Predicts Fatality in Lung Squamous Cell Carcinoma Patients [ChIP-seq]

GSE267597 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 36 samples Submitted 2026/05/15 Platform GPL21290
Summary
Despite the growing volume of genomic data, there remains a gap in our understanding of the mechanisms driving oncogenic transcription during non-small cell lung cancer (NSCLC) progression. In this study, we employed a model cell line-guided, multi-omic approach including promoter-capture Hi-C, ATAC-Seq, transcriptomics, and epigenomics, to uncover the epigenomic and three-dimensional (3D) genomic alterations on oncogenes in NSCLC patients from the Cancer Genome Atlas (TCGA). Our model cell lines recapitulate key aspects of the transcriptomic and chromatin-accessibility changes observed in NSCLC patients. ChIP-Seq analysis in model cell lines, revealed increased activity at promoters and enhancers, but decreased activity at insulators in NSCLC patients. We identified several increased promoter-enhancer interaction events in upregulated oncogenes. These aberrant enhancer-promoter looping events were mediated by the transcription factor AP-1. Survival analysis revealed a significant correlation between AP-1 expression levels and mortality in lung squamous carcinoma patients, but not in lung adenocarcinoma patients. Inhibition of AP-1, using AP-1 or JNK inhibitors, suggests that the abnormal activity of AP-1 is modulated by JNK kinases within the MAPK pathway, which promotes oncogenic transcription in NSCLC. These findings highlight the role of AP-1 in promoting lung squamous cell carcinoma progression and suggest that AP-1 and JNK inhibitors could be useful in treating high AP-1 lung squamous cell cancers.
Published in
AP-1 promotes oncogenic transcription in lung cancer cells by bridging promoter-enhancer interactions
Tan X, Kroneberg M, Sun F et al. · Cancer gene therapy 2026 · PMID 41339492 · doi:10.1038/s41417-025-00974-w
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Direct links to NCBI, no account and no request form: the whole study as GSE267597_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 36 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1111911 and SRA study SRP507995. Searching any of these in the dataset finder brings you back here.

Study design
18 conditions, mostly in duplicate
A549, pol II, ChIP, ×2 A549, H3K4me3, ChIP, ×2 A549, Med1, ChIP, ×2 A549, H3K27ac, ChIP, ×2 A549, JunB, ChIP, ×2 A549, Jun, ChIP, ×2 A549, JunD, ChIP, ×2 A549, Input, ×2 +10 more

Supports a between-group comparison across 36 samples.

18 replicated groups read from 36 sample titles; they account for 36 of them. Check it against the sample list below before relying on it.

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