Pooled analysis of prognostic impact of uPA and PAI-1 in breast cancer patients.

In this report we present an extension of the pooled analysis of the prognostic impact of urokinase-type plasminogen activator (uPA) and its inhibitor PAI-I in breast cancer patients. We analyzed a different endpoint, metastasis-free survival (MFS). We checked the consistency of the estimates for uPA and PAI-1 for relapse-free survival (RFS) and MFS exploring possible sources of heterogeneity. Nodal status, the most important prognostic factor for breast cancer, introduced heterogeneity in the uPA/PAI-1 survival analyses, reflecting the interaction between nodal status and uPA/PAI-1. The estimates for uPA and PAI-1 were found to be consistent, even when a different transformation of their values was used. The heterogeneity of the separate data sets decreased if the levels of uPA and PAI-1 were ranked, data sets were pooled, and the analyses corrected for the base model that included all traditional prognostic factors, and stratified by data set. We conclude that uPA and PAI-1 are ready to be used in the clinic to help classify breast cancer patients into high and low risk groups.

Age-dependent changes in breast cancer hormone receptors and oxidant stress markers.

Breast cancer incidence increases with age but this relationship has not been fully explored with regard to expression of estrogen receptor (ER) and ER-inducible genes (PR, pS2, Bcl2, cathepsin D), or the age-dependence of oxidant stress markers that also affect ER-inducible gene expression. In this three-part study, we first correlated age at diagnosis with expression of breast cancer markers ER, PR, pS2, Bcl2, and cathepsin D, quantitated by enzyme immunoassays from a European collective of approximately 3000 cryobanked primary breast cancers and approximately 300 adjacent non-malignant breast tissues. Results were then compared with ER and PR data reported to the SEER registry for 83,541 US cancers diagnosed during 1992-1997. Lastly, a homogeneous subset of 70 ER-positive tumors preselected from the European collective was blindly analyzed for age-specific changes in the DNA-binding content of redox-sensitive transcriprtion factors, AP1 and Sp1, and the oxidant stress-activated protein kinase, phosphorylated(P)-Erk5. Increases in breast tumor ER from patients aged <30 to >80 years mirrored 10-fold lower increases in non-malignant breast tissue ER content up to age 60, rising faster thereafter and reaching a near 25-fold differential between malignant and non-malignant breast tissue by age 80. ER-inducible markers PR, pS2, Bcl2, and cathepsin D were overexpressed in tumors relative to non-malignant breast tissue but, unlike ER, did not increase with patient age. While SEER data demonstrated that the increase in US breast cancer incidence rates after age 50 is confined to ER-positive tumors in patients of all ethnic subsets, these patients also showed a striking increase in the proportion of higher-risk ER-positive/PR-negative breast cancers arising after age 50. Mechanistically essential for ER-inducible PR expression, Sp1 DNA-binding function (but not Sp1 content) was lost with age in ER-positive tumors; and this functional defect correlated with increased tumor content of the oxidant stress marker, P-Erk5. Altogether these findings support two hypotheses: (i) dysregulated ER expression underlies the age-specific increase in breast cancer incidence after age 50; and (ii) oxidative stress and loss of Sp1 DNA-binding may contribute to an increasing incidence in higher-risk ER-positive/PR-negative breast cancers with aging.

Age-associated biomarker profiles of human breast cancer.

To explore the hypothesis that aging not only increases breast cancer incidence but also alters breast cancer biology, we correlated patient age and diagnosis with tumor histology, stage and biomarkers independently determined from two different tumor archives: an American collection of approximately 800 paraffin-embedded and immunohistochemically analyzed primary breast cancers, and an European collection of approximately 3000 cryobanked primary breast cancers analyzed by ligand-binding and enzyme immunoassay (EIA). The prognostic biomarkers chosen for comparison represented surrogate measures of tumor: (i). proliferation, growth and genetic instability (mitotic and apoptotic indices, Ki-67/MIB-1-positivity, nuclear grade, p53-positivity), (ii). endocrine-dependence (estrogen receptor (ER), progesterone receptors (PR), pS2, Bcl2), (iii). growth factor receptor-dependence (ErbB2, EGFR/ErbB1), and (iv). angiogenic, invasive and proteolytic potential (uPA, PAI-1, Cathepsin D, VEGF). No biomarker reflecting tumor angiogenic, invasive or proteolytic potential showed a significant correlation with patient age at diagnosis. In contrast, significant inverse correlations (|r|>0.1; P< or =0.05) were observed for all measures of tumor growth and genetic instability as well as growth factor receptor overexpression (ErbB2 or EGFR positivity). Only one marker of endocrine-dependence, ER expression, showed a significant positive correlation with patient age at diagnosis. In summary, these findings support the hypothesis that breast cancer biology is significantly affected by patient age. In particular, breast tumors arising in older patients have slower growth rates, are more likely to be ER-positive, and are less likely to be p53-positive, EGFR-positive or ErbB2-positive.

Pooled analysis of prognostic impact of urokinase-type plasminogen activator and its inhibitor PAI-1 in 8377 breast cancer patients.

BACKGROUND: Urokinase-type plasminogen activator (uPA) and its inhibitor (PAI-1) play essential roles in tumor invasion and metastasis. High levels of both uPA and PAI-1 are associated with poor prognosis in breast cancer patients. To confirm the prognostic value of uPA and PAI-1 in primary breast cancer, we reanalyzed individual patient data provided by members of the European Organization for Research and Treatment of Cancer-Receptor and Biomarker Group (EORTC-RBG). METHODS: The study included 18 datasets involving 8377 breast cancer patients. During follow-up (median 79 months), 35% of the patients relapsed and 27% died. Levels of uPA and PAI-1 in tumor tissue extracts were determined by different immunoassays; values were ranked within each dataset and divided by the number of patients in that dataset to produce fractional ranks that could be compared directly across datasets. Associations of ranks of uPA and PAI-1 levels with relapse-free survival (RFS) and overall survival (OS) were analyzed by Cox multivariable regression analysis stratified by dataset, including the following traditional prognostic variables: age, menopausal status, lymph node status, tumor size, histologic grade, and steroid hormone-receptor status. All P values were two-sided. RESULTS: Apart from lymph node status, high levels of uPA and PAI-1 were the strongest predictors of both poor RFS and poor OS in the analyses of all patients. Moreover, in both lymph node-positive and lymph node-negative patients, higher uPA and PAI-1 values were independently associated with poor RFS and poor OS. For (untreated) lymph node-negative patients in particular, uPA and PAI-1 included together showed strong prognostic ability (all P<.001). CONCLUSIONS: This pooled analysis of the EORTC-RBG datasets confirmed the strong and independent prognostic value of uPA and PAI-1 in primary breast cancer. For patients with lymph node-negative breast cancer, uPA and PAI-1 measurements in primary tumors may be especially useful for designing individualized treatment strategies.