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Expression of Urokinase‐Type Plasminogen Activator ( uPA ), its Receptor ( uPAR ), and Inhibitor ( PAI ‐1) in Human Breast Carcinomas and Their Clinical Relevance
Author(s) -
Andres Sarah A.,
Edwards Angelena B.,
Wittliff James L.
Publication year - 2012
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.21488
Subject(s) - urokinase receptor , breast cancer , cancer research , plasminogen activator , supar , plasmin , cancer , estrogen receptor , urokinase , receptor , mammary gland , chemistry , biology , medicine , enzyme , biochemistry
Serine proteases convert plasminogen to plasmin which is involved in tissue remodeling under physiologic and pathophysiologic conditions, including breast carcinoma invasion and progression. Both urokinase‐type plasminogen activator ( uPA ) and pro‐ uPA associate with uPA receptor ( uPAR ) on target cells, where plasminogen activator inhibitors (e.g., PAI ‐1) may modulate their activities. Expression levels of these factors were compared in breast carcinomas relative to patient characteristics, carcinoma features, and clinical outcome. uPA , uPAR , and PAI ‐1 were quantified by enzyme‐linked immunosorbent assay ( ELISA ) in extracts of 226 biopsies while estrogen receptor ( ER ) and progestin receptor ( PR ) were determined by enzyme immunoassay ( EIA ) or radio‐ligand binding. Each set of assays contained a novel reference specimen with known quantities of each of these five analytes. Levels in ng/mg protein of these biomarkers exhibited ranges: uPA (0–12.3); uPAR (0–19.5); PAI ‐1 (0–91.2). When considered independently, expression of uPA , uPAR , or PAI ‐1 was unrelated to patient age or menopausal status. Although no correlation was observed between each analyte with stage, grade, or ER / PR status, levels appeared to differ with pathology and nodal status. A dendrogram from hierarchical clustering of uPA , uPAR , and PAI ‐1 levels in 106 specimens revealed three clusters of breast cancer patients. Kaplan–Meier analyses of uPA , uPAR , and PAI ‐1 indicated a correlation with overall survival ( OS ), suggesting collective examination of these biomarkers is useful in predicting clinical outcome of breast cancer.

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