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Relationships of protein biomarkers of the urokinase plasminogen activator system with expression of their cognate genes in primary breast carcinomas. | LitMetric

Background: uPA, its receptor uPAR, and inhibitors PAI-1 and PAI-2 play key roles in membrane remodeling/invasion and in predicting response to chemotherapy. We identified novel relationships of these biomarkers with ER/PR that indicate clinical utility for assessing breast carcinoma outcomes.

Methods: Retrospective studies were performed with de-identified results of (a) uPA, uPAR, and PAI-1; (b) estrogen (ER) and progestin receptor (PR); and (c) clinical outcomes. Relative expression of 22 000 genes from microarray of RNA from LCM-procured breast cancer cells was used with R Studio version 3.4.1.

Results: Primary ER/PR status was related to uPA, uPAR, or PAI-1 levels. ER- or PR- cancers expressed elevated uPA, uPAR, and PAI2 mRNA compared to ER+ or PR+ cells. Inverse relationships between ER/PR protein and expression of uPA, uPAR, and PAI-2 were observed, whereas HER2 status was unrelated. qPCR analyses showed RERG and NQO-1 expressions were elevated in uPA- lesions, while CD34 and EDG-1 were elevated in uPAR- cancers. ERBB4 was overexpressed in PAI-1+ carcinomas. Cox regression analyses revealed relationships of ER/PR status and uPA system members with regard to clinical outcomes of breast cancer.

Conclusions: uPA, uPAR, PAI1, or PAI2 expression was increased in either ER- or PR- cancers similar to that of protein content in ER-/PR- carcinomas, suggesting sex hormones regulate the uPA system in breast cancer. Results revealed protein content of uPA system members was related to ER/PR status of primary lesions. Use of LCM-procured carcinoma cells uncovered relationships between expression of known cancer-associated genes and protein content of uPA system members. Collectively, results indicate evaluation of ER and PR protein of primary breast cancers combined with analyses of uPA, uPAR, and PAI-1 protein content improves assessment of clinical outcomes.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868412PMC
http://dx.doi.org/10.1002/jcla.22982DOI Listing

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