Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/8107
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dc.contributor.authorGrant, KAen_US
dc.contributor.authorApffelstaedt, J.Pen_US
dc.contributor.authorWright, Cen_US
dc.contributor.authorMyburgh, Een_US
dc.contributor.authorPienaar, Ren_US
dc.contributor.authorDe Klerk, Men_US
dc.contributor.authorKotze, Maritha J.en_US
dc.date.accessioned2021-09-07T08:59:17Z-
dc.date.available2021-09-07T08:59:17Z-
dc.date.issued2012-
dc.identifier.citationGrant, K. A., Apffelstaedt, J. P., Wright, C. et al. 2012. Development and implementation of the MammaPrint® Algorithm (MPA) to reduce chemotherapy overtreatment in South African patients with early stage breast cancer. Histopathology, 61(1): 20-21. [https://onlinelibrary.wiley.com/toc/13652559/2012/61/s1]en_US
dc.identifier.issn1365-2559-
dc.identifier.urihttps://onlinelibrary.wiley.com/toc/13652559/2012/61/s1-
dc.identifier.urihttp://hdl.handle.net/11189/8107-
dc.description.abstractCompared to conventional risk assessment models, transcriptional profiling may reduce prescription of chemotherapy in patients with early-stage breast cancer by approximately one-third. This significant reduction prompted a South African medical insurer to subject the 70-gene MammaPrint® (MP) test to a Health Technology Assessment (HTA) in 2009. The HTA introduced a set of test eligibility criteria – the MammaPrint® Algorithm (MPA). This translational research study was undertaken to determine whether the MPA based partly on immunohistochemical Estrogen Receptor (ER) and HER2 status is appropriate for use in routine clinical practiceen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofHistopathologyen_US
dc.subjectMammaPrint® algorithm (MPA)en_US
dc.subjectchemotherapy overtreatmenten_US
dc.subjectSouth African patientsen_US
dc.subjectbreast canceren_US
dc.subjectHistopathologyen_US
dc.titleDevelopment and implementation of the MammaPrint® Algorithm (MPA) to reduce chemotherapy overtreatment in South African patients with early stage breast canceren_US
dc.typeArticleen_US
Appears in Collections:HWSci - Journal Articles (DHET subsidised)
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