It is now clearly established that proteolytic enzymes, and in particular plasminogen activator (uPA), play an important role in breaking down the extracellular matrix, which is considered to be a step in metastasis formation. Plasminogen activators are controlled at various levels. Two inhibitors, PAI-1 and PAI-2, have been identified, the latter being more specific for uPA. In attempts to determine their prognostic value, it is essential to investigate the relative importance of these parameters and their interactions. We used an immunoenzymatic method to assay uPA, PAI-1 and PAI-2 antigens in cytosols prepared from 314 primary breast tumors. The patients were followed up for a minimum of six years and all relevant clinical and laboratory findings had been recorded. Univariate analysis confirmed the poor outcome of patients whose tumors contained large amounts of uPA and PAI-1. In addition, low levels of PAI-2 correlated with shorter disease-free survival in the overall population (P = 0.02), post-menopausal women (P = 0.02) and women without lymph node involvement (P = 0.02). Multivariate analysis using the "Main Effects" Cox model identified node involvement, macroscopic tumor size and PAI-2 as significant variables. The "interactive" Cox model, taking into account interactions between uPA and its two inhibitors, identified a first subgroup with a very poor prognosis associating either high levels of PAI-1 with low levels of PAI-2 in the overall population as well as following stratification for axillary node negative disease, or high levels of uPA with low levels of PAI-2 in the group of menopausal women. We conclude that PAI-1 provides the same prognostic informations as uPA, and does not appear to play its role as an inhibitor. In contrast, PAI-2 increased the prognostic value of both uPA, particularly in post-menopausal women, as well as PAI-1 in a subgroup of axillary node negative patients.