4.8 Article

Aged Breast Extracellular Matrix Drives Mammary Epithelial Cells to an Invasive and Cancer-Like Phenotype

期刊

ADVANCED SCIENCE
卷 8, 期 22, 页码 -

出版社

WILEY
DOI: 10.1002/advs.202100128

关键词

aging; breast cancer; epithelial-mesenchymal transition; extracellular matrix; lysyl oxidase

资金

  1. NIH [U01 CA236979, 5R01EB027660-02, F32 CA210583-01]
  2. Walther Cancer Foundation Cancer Cure Venture Award [0184.01]

向作者/读者索取更多资源

The study reveals that aging ECM can drive normal mammary epithelial cells to a more invasive and cancer-like phenotype, and enhance motility and invasiveness in breast cancer cells. Different responses of cells to young and aged ECMs may lead to the identification of new targets for cancer treatment and prevention.
Age is a major risk factor for cancer. While the importance of age related genetic alterations in cells on cancer progression is well documented, the effect of aging extracellular matrix (ECM) has been overlooked. This study shows that the aging breast ECM alone is sufficient to drive normal human mammary epithelial cells (KTB21) to a more invasive and cancer-like phenotype, while promoting motility and invasiveness in MDA-MB-231 cells. Decellularized breast matrix from aged mice leads to loss of E-cadherin membrane localization in KTB21 cells, increased cell motility and invasion, and increased production of inflammatory cytokines and cancer-related proteins. The aged matrix upregulates cancer-related genes in KTB21 cells and enriches a cell subpopulation highly expressing epithelial-mesenchymal transition-related genes. Lysyl oxidase knockdown reverts the aged matrix-induced changes to the young levels; it relocalizes E-cadherin to cell membrane, and reduces cell motility, invasion, and cytokine production. These results show for the first time that the aging ECM harbors key biochemical, physical, and mechanical cues contributing to invasive and cancer-like behavior in healthy and cancer mammary cells. Differential response of cells to young and aged ECMs can lead to identification of new targets for cancer treatment and prevention.

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