Low cathepsin D and low plasminogen activator type 1 inhibitor in tumor cytosols defines a group of node negative breast cancer patients with low risk of recurrence

Prognostic factors are highly needed to divide node negative breast cancer patients into groups of low versus high risk of recurrence and death. In order to invade and spread, cancer cells must degrade extracellular matrix proteins. Accordingly, tumor levels of molecules involved in this degradation might be associated with patient outcome. Previous work has demonstrated that high levels of the aspartyl protease cathepsin D in breast cancer are associated with a poor prognosis and similar findings have been reported for molecules involved in the urokinase pathway of plasminogen activation. Interactions between different protease systems have been described and data suggest that several proteolytic enzymes may be operable at the same time in a tumor. In the present study we measured cathepsin D (n = 162), uPA (n = 116), uPAR (n = 109) and PAI-1 (n = 135) in tumor cytosols obtained from a population of node negative breast cancer patients. A significant correlation was found between levels of uPA, uPAR, and PAI-1, Levels of cathepsin D were directly related to levels of uPA and uPAR, With a median observation time of 4.81 years, univariate survival analyses showed that high levels of uPA and cathepsin D significantly predicted a shorter disease free survival, while only high levels of cathepsin D were able to significantly predict a shorter overall survival. Tumor levels of uPAR and PAI-1 gave mixed results depending on the cut-off point choosen. Interestingly, multivariate analysis demonstrated that PAI-1 and cathepsin D were independent significant prognostic indicators for disease-free survival while only cathepsin D was helpful in overall survival. The five year relapse rate of patients with low PAI-1 and low cathepsin D was 13 % while patients who had greater than the median value for both of these molecules had a 5 year relapse rate of 40 %. These data would indicate that at least two different protease systems are active in spread of node negative breast cancer and that measurement of these molecules may aid in the decisions to be made when offering adjuvant treatment to these patients.