Abstract

Urokinase plasminogen activator (uPA) is an extracellular matrix-degrading protease involved in cancer invasion and metastasis, interacting with plasminogen activator inhibitor-1 (PAI-1), which was originally identified as a blood-derived endogenous fast-acting inhibitor of uPA. At concentrations found in tumor tissue, however, both PAI-1 and uPA promote tumor progression and metastasis. Consistent with the causative role of uPA and PAI-1 in cancer dissemination, several retrospective and prospective studies have shown that elevated levels of uPA and PAI-1 in breast tumor tissue are statistically independent and potent predictors of poor patient outcome, including adverse outcome in the subset of breast cancer patients with lymph node-negative disease. In addition to being prognostic, high levels of uPA and PAI-1 have been shown to predict benefit from adjuvant chemotherapy in patients with early breast cancer. The unique clinical utility of uPA/PAI-1 as prognostic biomarkers in lymph node-negative breast cancer has been confirmed in two independent level-of-evidence-1 studies (that is, in a randomized prospective clinical trial in which the biomarker evaluation was the primary purpose of the trial and in a pooled analysis of individual data from retrospective and prospective studies). Thus, uPA and PAI-1 are among the best validated prognostic biomarkers currently available for lymph node-negative breast cancer, their main utility being the identification of lymph node-negative patients who have HER-2-negative tumors and who can be safely spared the toxicity and costs of adjuvant chemotherapy. Recently, a phase II clinical trial using the low-molecular-weight uPA inhibitor WX-671 reported activity in metastatic breast cancer.

Highlights

  • The ideal cancer biomarker should possess all or most of the following properties [1,2]: have an analytically validated assay for its measurement, have undergone validation for addressing a specific clinical problem, have been shown to have clinical utility such as improving patient outcome, enhancing quality of life, or reducing cost of care, have a cost-effective assay, and be a target for therapy.In breast cancer, the biomarkers that best meet these criteria are the estrogen receptor (ER) [3] and the oncoprotein human epidermal growth factor receptor 2 (HER-2) [4]

  • Though not that widely used in the clinic at present, two other biomarkers - the serine protease urokinase plasminogen activator and its inhibitor plasminogen activator inhibitor-1 (PAI-1) - meet most of the above criteria

  • In the group of patients who had received prior adjuvant chemotherapy, progression-free survival (PFS) increased from 4.3 months in those treated with capecitabine alone to 8.3 months in the group receiving upamostat and capecitabine

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Summary

Introduction

The ideal cancer biomarker should possess all or most of the following properties [1,2]: have an analytically validated assay for its measurement, have undergone validation for addressing a specific clinical problem, have been shown to have clinical utility such as improving patient outcome, enhancing quality of life, or reducing cost of care, have a cost-effective assay, and be a target for therapy. Direct evidence that uPA/PAI-1 measurement is costeffective and cost-saving was recently shown in a prospective multicenter study involving 93 lymph nodenegative and ER-positive breast cancer patients [83] In this economic analysis, measurement of uPA/PAI-1 was found to decrease the use of adjuvant chemotherapy in 35 (37.6%) of the 93 patients investigated. ASCO uPA/PAI-1 measured by ELISAs may be used for the determination of prognosis in patients with newly diagnosed, node-negative [86] breast cancer Low levels of both markers are associated with a sufficiently low risk of disease recurrence, especially in steroid hormone receptor-positive women who will receive adjuvant endocrine therapy and who will receive only minimal additional benefit from chemotherapy. We recommend that, where possible, further trials with anti-uPA treatments involve prior measurement of uPA protein expression levels

Conclusions
10. Duffy MJ
30. Ossowski L
44. Duffy MJ
72. Abstract
Findings
97. Goldstein LJ

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