ArticleFrontiers in oncology2023
Identification of a core EMT signature that separates basal-like breast cancers into partial- and post-EMT subtypes.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The trial behind it
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Who cites it
9 citing papers in PubMed, 7 citations in OpenAlex.
- Article
- Systems-level analysis identifies IRF6 as an inhibitor of epithelial-mesenchymal transition.Journal of biological engineering · 2026Article
- Article
- Partial-EMT in oral squamous cell carcinoma: molecular circuitry and clinical translation.International journal of oral science · 2026Review
- Targeting Tumour Heterogeneity through sequential timing of anti-hallmark combination therapies -a hypothesis for implementation.Frontiers in immunology · 2026Review
- Tumor necrosis associates with aggressive breast cancer features, increased hypoxia signaling and reduced patient survival.Scientific reports · 2025Article
- Epithelial-Mesenchymal Transition States and Metabolic Reprogramming Related Signatures Predict Prognosis and Therapeutic Responses in HER2-Positive Breast Cancer.Journal of clinical laboratory analysis · 2025Article
- Constructing a doxycycline-inducible system for an epithelial-to-mesenchymal transition model in MCF10A cells.Biology open · 2024Article
- Increased prevalence of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer.iScience · 2024Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epithelial-mesenchymal transition (EMT) is a cellular plasticity program critical for embryonic development and tissue regeneration, and aberrant EMT is associated with disease including cancer. The high degree of plasticity in the mammary epithelium is reflected in extensive heterogeneity among breast cancers. Here, we have analyzed RNA-sequencing data from three different mammary epithelial cell line-derived EMT models and identified a robust mammary EMT gene expression signature that separates breast cancers into distinct subgroups. Most strikingly, the basal-like breast cancers form two subgroups displaying partial-EMT and post-EMT gene expression patterns. We present evidence that key EMT-associated transcription factors play distinct roles at different stages of EMT in mammary epithelial cells.
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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.