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615 Background: The chemokine CXCL13 is chemotactic for B cells. We examined the prognostic significance of CXCL13 mRNA expression in node-negative breast cancer. Methods: Microarray based gene-expression data for CXCL13 (205242_at) were analysed in four previously published cohorts (Mainz, Rotterdam, Transbig, Yu) of node-negative breast cancer patients not treated with adjuvant therapy (n=824). A meta-analysis of previously published cohorts was performed using a random effects model. Prognostic significance of CXCL13 on metastasis-free survival (MFS) was examined in the whole cohort and in different molecular subtypes (ER+/HER2-, ER-/HER2-, HER2+). Independent prognostic relevance was analysed using multivariate Cox regression. Results: Higher RNA expression of CXCL13 was related to better MFS in a meta-analysis of the whole cohort (HR 0.88, 95% CI 0.83-0.94, P

552 Background: Focal adhesion kinase (FAK) is a cytoplasmic tyrosine kinase playing an important role as a key mediator for signal transduction. We examined the subtype specific prognostic signifi...

620 Background: The transcription factor IRF4 (interferon regulating factor 4) regulates immunoglobulin class switch recombination as well as plasma cell differentiation. We examined the prognostic significance of IRF4 mRNA expression in node-negative breast cancer. Methods: Microarray based gene-expression data for IRF4 (204562_at) were analysed in four previously published cohorts (Mainz, Rotterdam, Transbig, Yu) of node-negative breast cancer patients not treated with adjuvant therapy (n=824). A meta-analysis of previously published cohorts was performed using a random effects model. Prognostic significance of IRF4 on metastasis-free survival (MFS) was examined in the whole cohort and in different molecular subtypes: luminal A (ER+/HER2-/aurora kinase A [AURKA]low, luminal B (ER+/HER2-/AURKAhigh), basal-like (ER-/HER2-), HER2+. Independent prognostic relevance was analysed using multivariate Cox regression. Results: Higher RNA expression of IRF4 was related to better MFS in a meta-analysis of the whole...

10551 Background: Prediction of late metastasis is of clinical relevance in breast cancer. However, systematic genome-wide studies to identify genes associated with increased risk of metastasis 5 or more years after surgery are scarce. Methods: We examined the natural course of disease in three previously published cohorts (Mainz, Rotterdam, Transbig) including 766 node-negative breast cancer patients with gene array data who did not receive systemic chemotherapy in the adjuvant setting. We established a Cox regression based method adjusted for multiple testing that identified genes predicting late metastasis (5 or more years after surgery). Only those genes were accepted that showed similar results in all three cohorts. Metastasis-free survival (MFS) was analyzed with univariate and multivariate Cox regression. Results: We identified 9 genes [ABCC5 (Hazard Ratio (HR) 2.19, p=0.003), EDDM3B (HR 3.58, p=0.044), RAD23B (HR 0.37, p