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Updated: May 13, 2026

Studying TGF-β Signaling and TGF-β-induced Epithelial-to-mesenchymal Transition in Breast Cancer and Normal Cells
06:54

Studying TGF-β Signaling and TGF-β-induced Epithelial-to-mesenchymal Transition in Breast Cancer and Normal Cells

Published on: October 27, 2020

Unraveling the 'TGF-β paradox' one metastamir at a time

Danny R Welch, Douglas R Hurst

    Breast Cancer Research : BCR
    |March 2, 2013
    PubMed

    Insights

    Transforming growth factor beta (TGF-β) switches roles in cancer. Researchers found TGF-β and matrix stiffness regulate microRNAs (miRNAs), uncovering a pathway involving miR-181a that impacts breast cancer metastasis.

    Area of Science:

    • Oncology
    • Molecular Biology
    • Biochemistry

    Background:

    • Transforming growth factor beta (TGF-β) exhibits dual roles in cancer, acting as both a tumor suppressor and a promoter of metastasis.
    • Understanding the molecular mechanisms underlying TGF-β's functional switch is crucial for developing effective cancer therapies.

    Purpose of the Study:

    • To investigate the global microRNA (miRNA) expression profiles regulated by TGF-β and matrix stiffness.
    • To elucidate the specific role of miR-181a in breast cancer metastasis.

    Main Methods:

    • Utilized a murine mammary carcinoma progression model.
    • Performed global miRNA expression analyses.
    • Focused on identifying miRNAs modulated by TGF-β and varying matrix stiffness.

    Main Results:

    • Identified several miRNAs that are regulated by both TGF-β and matrix stiffness.
    • Discovered a specific pathway involving miR-181a that is intricately linked to breast cancer metastasis.
    • Highlighted the regulatory role of miR-181a in the metastatic process.

    Conclusions:

    • TGF-β and matrix stiffness cooperatively regulate miRNA expression.
    • The identified miR-181a pathway offers novel insights into breast cancer metastasis.
    • These findings may have potential clinical implications for managing cancer progression.

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