4.7 Article

Metalloproteinases 1 and 3 as Potential Biomarkers in Breast Cancer Development

期刊

出版社

MDPI
DOI: 10.3390/ijms22169012

关键词

breast cancer; metalloproteinases; immunohistochemical expression; epithelial-to-mesenchymal transition (EMT); biomarkers; diagnostic factors; extracellular matrix; MMPs; MMP inhibitors

资金

  1. Fundacion Progreso Salud [PI-0730-2013]
  2. ISCIII [PIE16/00045]

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Early diagnosis is crucial in reducing the incidence and mortality rates of breast cancer. The study found that MMP-1 and MMP-3 are associated with the development of breast cancer and have the potential to be used as biomarkers for breast cancer diagnosis.
Breast cancer continues to be one of the main causes of morbidity and mortality globally and was the leading cause of cancer death in women in Spain in 2020. Early diagnosis is one of the most effective methods to lower the incidence and mortality rates of breast cancer. The human metalloproteinases (MMP) mainly function as proteolytic enzymes degrading the extracellular matrix and plays important roles in most steps of breast tumorigenesis. This retrospective cohort study shows the immunohistochemical expression levels of MMP-1, MMP-2, MMP-3, and MMP-9 in 154 women with breast cancer and 42 women without tumor disease. The samples of breast tissue are assessed using several tissue matrices (TMA). The percentages of staining (<= 50%->50%) and intensity levels of staining (weak, moderate, or intense) are considered. The immunohistochemical expression of the MMP-1-intensity (p = 0.043) and MMP-3 percentage (p = 0.018) and intensity, (p = 0.025) present statistically significant associations with the variable group (control-case); therefore, expression in the tumor tissue samples of these MMPs may be related to the development of breast cancer. The relationships between these MMPs and some clinicopathological factors in breast cancer are also evaluated but no correlation is found. These results suggest the use of MMP-1 and MMP-3 as potential biomarkers of breast cancer diagnosis.

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