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Gene-expression and DNA-methylation profiling in<br />

breast cancer<br />

John A. Foekens*<br />

Erasmus MC, Josephine Nefkens Institute, Rotterdam, The Netherlands.<br />

High-throughput measures of gene expression and DNA methylation are promising<br />

developments in determining the prognosis of patients. We have developed a<br />

76-gene expression profile that can predict prognosis in lymph-node negative (LNN)<br />

breast cancer patients who had not received adjuvant systemic therapy. To develop<br />

the 76-gene signature we have used a training set of 115 tumors. Validation in<br />

an independent testing set of 171 patients showed the 76-gene signature to be<br />

strongly associated with a poor metastasis-free survival (MFS) (HR: 5.7). Subsequent<br />

multicenter validation including 180 LNN patients confirmed the 76-gene signature<br />

as a strong prognostic factor for poor MFS (HR: 7.4), also in postmenopausal patients<br />

(HR: 9.8). Separately, using a training set of 72 tumors we established a 31-gene<br />

signature that with 100% sensitivity, and 50% specificity, predicted the occurrence<br />

of relapse to the bone in a testing set of 35 untreated LNN patients. Our results<br />

pointed to the involvement of the FGF signaling pathway in preference of tumor<br />

cells that relapse to bone. Further extensive pathway analysis studies including a<br />

total of 345 tumors showed highly distinctive pathways that are associated with<br />

poor prognosis in subgroups of 221 ER-positive and 124 ER-negative tumors. With<br />

respect to DNA methylation analysis, using a microarray-based technology for the<br />

analysis of promoter CpG methylation for 117 candidate genes, we found that<br />

phosphoserine aminotransferase was the strongest factor associated with failure to<br />

tamoxifen therapy in 200 patients with recurrent breast cancer. In LNN patients who<br />

were treated with adjuvant tamoxifen, PITX2 appeared the strongest prognostic<br />

factor, which was confirmed in several multicenter studies. A major advantage of<br />

DNA-methylation analysis is that it can easily be performed by methylation specific<br />

PCRs on DNA isolated from paraffin-embedded tissues as well.<br />

54l36<br />

*In collaboration with Veridex LLC, a Johnson & Johnson Company, San Diego, USA;<br />

the EORTC Receptor and Biomarker Group; and Epigenomics AG, Berlin, Germany,<br />

together with the EpiBreast Group.

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