ArticleJournal of experimental & clinical cancer research : CR2018
Epigenetic reprogramming of epithelial mesenchymal transition in triple negative breast cancer cells with DNA methyltransferase and histone deacetylase inhibitors.
Article in Journal of experimental & clinical cancer research : CR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
53 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.
- A systematic review of progress toward unlocking the power of epigenetics in breast cancer: latest updates and perspectives.Frontiers in pharmacology · 2025Pooled it
- Article
- The Great Potential of DNA Methylation in Triple-Negative Breast Cancer: From Biological Basics to Clinical Application.Biomedicines · 2026Review
- DNA methyltransferase inhibitors in hematological malignancies and solid tumors.International journal of cancer · 2026Review
- Construction of Metastasis Prediction Models and Screening of Anti-Metastatic Drugs Based on Pan-Cancer Single-Cell EMT Features.International journal of molecular sciences · 2025Article
- Dual-Target Therapeutic Strategies in Triple-Negative Breast Cancer: Mechanistic Insights and Clinical Potential.Cancers · 2025Review
- Targeting Triple-Negative Breast Cancer: Resistance Mechanisms and Therapeutic Advancements.Cancer medicine · 2025Review
- Harnessing the tumor microenvironment: targeted cancer therapies through modulation of epithelial-mesenchymal transition.Journal of hematology & oncology · 2025Review
- DNA Methylation-Based Diagnosis and Treatment of Breast Cancer.Current cancer drug targets · 2025Review
- Liquid biopsy in triple-negative breast cancer: a promising tool for diagnosis, prognosis, and treatment monitoring.Frontiers in oncology · 2025Review
- Molecular Insights into Phytochemicals Mediated Epigenetic Regulation in Preclinical Models of Breast Cancer.Drug design, development and therapy · 2025Review
- Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes.Frontiers in immunology · 2025Article
- Searching for Essential Genes and Targeted Drugs Common to Breast Cancer and Osteoarthritis.Combinatorial chemistry & high throughput screening · 2024Article
- Breast cancer histopathology, classification and clinical management: Current perspectives.Bioinformation · 2024Article
- Circumvention of Gefitinib Resistance by Repurposing Flunarizine via Histone Deacetylase Inhibition.ACS pharmacology & translational science · 2023Article
- Emerging Role of Epigenetic Modifiers in Breast Cancer Pathogenesis and Therapeutic Response.Cancers · 2023Review
- From Interaction to Intervention: How Mesenchymal Stem Cells Affect and Target Triple-Negative Breast Cancer.Biomedicines · 2023Review
- The NF-κB Transcriptional Network Is a High-Dose Vitamin C-Targetable Vulnerability in Breast Cancer.Biomedicines · 2023Review
- Epigenetic Regulation in Breast Cancer: Insights on Epidrugs.Epigenomes · 2023Review
- Arginine methylation in the epithelial-to-mesenchymal transition.The FEBS journal · 2022Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundTriple negative breast cancer (TNBC) is an aggressive neoplasia with no effective therapy. Our laboratory has developed a unique TNBC cell model presenting epithelial mesenchymal transition (EMT) a process known to be important for tumor progression and metastasis. There is increasing evidence showing that epigenetic mechanisms are involved in the activation of EMT. The objective of this study is to epigenetically reverse the process of EMT in TNBC by using DNA methyltransferase inhibitors (DNMTi) and histone deacetylase inhibitors (HDACi).
methodsWe evaluated the antitumor effect of three DNMTi and six HDACi using our TNBC cell model by MTT assay, migration and invasion assay, three dimensional culture, and colony formation assay. We then performed the combined treatment both in vitro and in vivo using the most potent DNMTi and HDACi, and tested the combined treatment in a panel of breast cancer cell lines. We investigated changes of EMT markers and potential signaling pathways associated with the antitumor effects.
resultsWe showed that DNMTi and HDACi can reprogram highly aggressive TNBC cells that have undergone EMT to a less aggressive phenotype. SGI-110 and MS275 are superior to other seven compounds being tested. The combination of SGI with MS275 exerts a greater effect than single agent alone in inhibiting cell proliferation, motility, colony formation, and stemness of cancer cells. We also demonstrated that MS275 and the combination of SGI with MS275 exert in vivo antitumor effect. We revealed that the combined treatment synergistically reverses EMT through inhibiting EpCAM cleavage and WNT signaling, suppressing mutant p53, ZEB1, and EZH2, and inducing E-cadherin, apoptosis, as well as histone H3 tri-methylation.
conclusionsOur study showed that DNMTi and HDACi exert antitumor activity in TNBC cells partially by epigenetically reprograming EMT. Our findings strongly suggest that TNBC is sensitive to epigenetic therapies. Therefore, we propose a new strategy to treat TNBC by using the combination of SGI-110 with MS275, which exerts superior antitumor effects by simultaneously targeting multiple pathways.
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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.