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Optimized outcome prediction in breast cancer by combining the 70-gene signature with clinical risk prediction algorithms

Clinical guidelines for breast cancer treatment differ in their selection of patients at a high risk of recurrence who are eligible to receive adjuvant systemic treatment (AST). The 70-gene signature is a molecular tool to better guide AST decisions. The aim of this study was to evaluate whether add...

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Κύριοι συγγραφείς:	Drukker, C. A., Nijenhuis, M. V., Bueno-de-Mesquita, J. M., Retèl, V. P., van Harten, W. H., van Tinteren, H., Wesseling, J., Schmidt, M. K., van’t Veer, L. J., Sonke, G. S., Rutgers, E. J. T., van de Vijver, M. J., Linn, S. C.
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Springer US 2014
Θέματα:	Clinical Trial
Διαθέσιμο Online:	https://ncbi.nlm.nih.gov/pmc/articles/PMC4031388/ https://ncbi.nlm.nih.gov/pubmed/24760482 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10549-014-2954-2
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Optimized outcome prediction in breast cancer by combining the 70-gene signature with clinical risk prediction algorithms

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