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Identification of a shared drug-tolerant persister program in triple-negative breast cancer across treatments and patients [CITE-seq]

GSE280455 Homo sapiens Expression profiling by high throughput sequencing; Other 5 samples Submitted 2025/09/22 Platform GPL24676
Summary
Acquisition of resistance to anti-cancer therapies is a multistep process, which initiates with the survival of drug tolerant persister cells. Understanding the mechanisms driving the emergence of drug tolerant persister cells remains challenging, primarily because of their limited accessibility in patients. Here, using multiple patient-derived models to isolate persister cells, we show these cells are transcriptionally plastic in vivo and return to a common treatment-naïve like state upon relapse, regardless of the treatment they have been exposed to. We reveal hallmarks of the persister state in TNBC across treatment modalities: high expression of basal keratins together with activation of a stress response and inflammation pathways. HER2+ breast and lunger cancer cells also activate these hallmarks of drug tolerance in response to targeted therapies. Leveraging gene regulatory networks, we identify AP-1, NFKB and IRF/STAT as the key drivers of this hallmark persister state. As a proof of concept, we show that FOSL1 - an AP-1 member - is sufficient to drive cells to the persister state by binding enhancers and reprogramming the transcriptome of cancer cells. On the contrary, cancer cells without FOSL1 have a decreased ability to reach the persister state. By defining hallmarks of drug persistence to multiple therapies of the standard of care in TNBC, our study provides a resource to design novel combination therapeutic strategies to limit resistance. All datasets produced for this study are available and deposited on GEO at : GSE280454, GSE280455, GSE303200, GSE303201 & GSE303203
Published in
Characterization of Drug-Tolerant Persister Cells in Triple-Negative Breast Cancer Identifies a Shared Persistence Program across Treatments and Patients
Baudre L, Jouault G, Prompsy P et al. · Cancer research 2025 · PMID 41196808 · doi:10.1158/0008-5472.CAN-25-0995
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Direct links to NCBI, no account and no request form: the whole study as GSE280455_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 5 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1178636 and SRA study SRP541577. Searching any of these in the dataset finder brings you back here.

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