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Diagnostic and Prognostic Relevance of MMP-11 Expression in the Stromal Fibroblast-Like Cells Adjacent to Invasive Ductal Carcinoma of the Breast

Title
Diagnostic and Prognostic Relevance of MMP-11 Expression in the Stromal Fibroblast-Like Cells Adjacent to Invasive Ductal Carcinoma of the Breast
Author
오영하
Keywords
MATRIX-METALLOPROTEINASE EXPRESSION; MONONUCLEAR INFLAMMATORY CELLS; STROMELYSIN-3 EXPRESSION; CANCER BIOPSIES; POOR-PROGNOSIS; CLINICAL-VALUE; FREE SURVIVAL; INHIBITORS; OVEREXPRESSION; INVOLVEMENT
Issue Date
2013-12
Publisher
Springer Science + Business Media
Citation
Annals of Surgical Oncology, Vol.20, No.S3 [2013], p S433-S442
Abstract
Background. Matrix metalloproteinase 11 (MMP-11) is a matrix degrading enzyme known to be involved in the remodeling of extracellular matrix proteins. This enzyme recently has been reported to play a key role in tumor progression and results in poor clinical outcomes for several different types of tumors.Methods. A total of 192 patients diagnosed with invasive ductal carcinoma between 2000 and 2005 were included in this study. MMP-11 expression in tumors and stromal fibroblast-like cells was analyzed by immunohistochemical staining on a tissue microarray. Subsequently, evaluation of the associations between MMP-11 expression and clinicopathological characteristics was performed.Results. MMP-11 expression of stromal fibroblast-like cells was correlated with prognostic factors, including tumor size, metastasis, histological grade, central tumor fibrosis, p53 expression, and luminal A subtype and was linked to therapeutic markers, such as ER and HER2 (all p < 0.05). There was a significant relationship between worse overall survival and MMP-11 expression in both tumors and stromal fibroblast-like cells (all p < 0.05). In multivariate analysis, MMP-11 expression of stromal fibroblast-like cells was still significantly associated with poor prognosis (p = 0.043).Conclusions. MMP-11 expression was significantly related to clinicopathological parameters, which may be essential to the prediction of disease outcome in patients with invasive ductal carcinoma of the breast.
URI
http://link.springer.com/article/10.1245%2Fs10434-012-2734-3http://hdl.handle.net/20.500.11754/46356
ISSN
1068-9265
DOI
10.1245/s10434-012-2734-3
Appears in Collections:
COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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