PubMed · 2002 · 193 citations · 10 references
MedicineOncologyBreast OncologyChemotherapyMolecular OncologyAdjuvant TherapyBreast Cancer Risk AssessmentCancer Survival AnalysisBreast Cancer ChemotherapyBreast Cancer PrognosisBreast Cancer Response AssessmentDisease-free Survival AnalysisDisease-free Survival AssessmentPlasminogen ActivatorsPrimary Tumor CharacterizationVascular Invasion Prognosis
Risk assessment and prediction of response to treatment are prerequisites for individualized adjuvant therapy decisions in breast cancer. The strong prognostic impact of the two invasion factors urokinase-type plasminogen activator (uPA) and its inhibitor, plasminogen activator inhibitor type 1 (PAI-1), in breast cancer has recently been validated at level-I evidence. This article considers the predictive impact of uPA/PAI-1 on response to adjuvant chemo- and endocrine therapy in 3424 primary breast cancer patients from two different data sets. uPA and PAI-1 antigen levels were measured by ELISA in primary tumor tissue extracts. After a median follow-up of 83 months, uPA/PAI-1 has a significant impact on disease-free survival in Cox multivariate analysis (P < 0.001; hazard ratio, 2.0; 95% confidence interval, 1.8-2.3). Patients with high uPA/PAI-1 levels benefit more strongly from adjuvant chemotherapy than those with low levels. This effect is seen as a significant interaction between chemotherapy and uPA/PAI-1 for the entire collective (P < 0.003; hazard ratio, 0.68; 95% confidence interval, 0.53-0.88) and separately within nodal subgroups. This enhanced benefit in the high uPA/PAI-1 patients occurs over and above the significant impact of both therapies in all patients. We find no corresponding significant interaction between endocrine therapy and uPA/PAI-1; i.e., no significant difference in benefit between patients with high and low uPA/PAI-1. In conclusion, uPA and PAI-1 levels in primary tumor tissue provide clinically relevant information on relapse risk and treatment response that will help to tailor adjuvant therapy concepts in breast cancer, accounting for individual biological tumor characteristics.
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Maxime P. Look, Wim L.J. van Putten, Michael J. Duffy et al. · JNCI Journal of the National Cancer Institute · 2002 · 604 citations · Full text
Medicine, Biostatistics, Oncology +15
F. Jänicke, A. Prechtl, Christoph Thomssen et al. · JNCI Journal of the National Cancer Institute · 2001 · 438 citations · Full text
Medicine, Oncology, Breast Oncology +13
The urokinase system of plasminogen activation and prognosis in 2780 breast cancer patients.
John A. Foekens, Harry A. Peters, Maxime P. Look et al. · PubMed · 2000 · 429 citations · Full text
Medicine, Cancer Biology, Oncology +15