ArticleCancer research2024
CRISPR Screening of Transcribed Super-Enhancers Identifies Drivers of Triple-Negative Breast Cancer Progression.
Article in Cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- CRISPR decodes the RNA regulatory network in prostate cancer: A review from mechanisms to precision therapeutics.Non-coding RNA research · 2026Review
- Disrupting MED8-dependent epigenetic reprogramming augments avapritinib sensitivity in PDGFRA-driven glioma.Journal of experimental & clinical cancer research : CR · 2026Article
- Deciphering the regulatory landscape of enhancer RNAs in health and disease.Signal transduction and targeted therapy · 2026Review
- ePerturbDB: enhancer's experimental perturbation database.Database : the journal of biological databases and curation · 2026Article
- Mapping Non-Coding Epimutations in Breast Cancer: Advancing Epigenetics Towards Precision Medicine.Sub-cellular biochemistry · 2026Review
- Mapping the FOXA1 Interactome in ER+ Breast Cancer Cells Using Proximity Labeling Reveals Novel Interactions with the Orphan Nuclear Receptor NR2C2.Molecular cancer research : MCR · 2025Article
- The Role of Non-Coding Regions in Breast Cancer: From Gene Regulation to Therapeutic Implications.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Enhancer regulation in cancer: from epigenetics to mArchives of pharmacal research · 2025Review
- CRISPR screening approaches in breast cancer research.Cancer metastasis reviews · 2025Review
- Targeting super-enhancers in liver cancer: from pathogenic mechanisms to clinical applications.Frontiers in pharmacology · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Triple-negative breast cancer (TNBC) is the most therapeutically recalcitrant form of breast cancer, which is due in part to the paucity of targeted therapies. A systematic analysis of regulatory elements that extend beyond protein-coding genes could uncover avenues for therapeutic intervention. To this end, we analyzed the regulatory mechanisms of TNBC-specific transcriptional enhancers together with their noncoding enhancer RNA (eRNA) transcripts. The functions of the top 30 eRNA-producing super-enhancers were systematically probed using high-throughput CRISPR-interference assays coupled to RNA sequencing that enabled unbiased detection of target genes genome-wide. Generation of high-resolution Hi-C chromatin interaction maps enabled annotation of the direct target genes for each super-enhancer, which highlighted their proclivity for genes that portend worse clinical outcomes in patients with TNBC. Illustrating the utility of this dataset, deletion of an identified super-enhancer controlling the nearby PODXL gene or specific degradation of its eRNAs led to profound inhibitory effects on target gene expression, cell proliferation, and migration. Furthermore, loss of this super-enhancer suppressed tumor growth and metastasis in TNBC mouse xenograft models. Single-cell RNA sequencing and assay for transposase-accessible chromatin with high-throughput sequencing analyses demonstrated the enhanced activity of this super-enhancer within the malignant cells of TNBC tumor specimens compared with nonmalignant cell types. Collectively, this work examines several fundamental questions about how regulatory information encoded into eRNA-producing super-enhancers drives gene expression networks that underlie the biology of TNBC. Significance: Integrative analysis of eRNA-producing super-enhancers defines molecular mechanisms controlling global patterns of gene expression that regulate clinical outcomes in breast cancer, highlighting the potential of enhancers as biomarkers and therapeutic targets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.