| Autor: |
Cornelis J.H. van de Velde, Christos Markopoulos, Mark Gustavson, David L. Rimm, Luc Dirix, Jason Christiansen, Hein Putter, Daniel Rea, T Robson, Caroline M. Seynaeve, John M. S. Bartlett, Annette Hasenburg, D. G. Kieback |
| Jazyk: |
angličtina |
| Rok vydání: |
2012 |
| Předmět: |
|
| Zdroj: |
Journal of Clinical Oncology, 30(15) |
| Popis: |
517 Background: Hormone receptors, HER2 and Ki67 are residual risk markers in early breast cancer. Combining these markers into a unified algorithm (IHC4) provides information on residual recurrence risk of patients treated with hormone therapies. This study aimed to independently investigate the validity of the IHC4 algorithm for residual risk prediction using both conventional (DAB)-IHC and quantitative immunofluorescence (QIF-AQUA). Methods: The TEAM pathology study recruited >4500 samples from patients treated in the TEAM trial. TMAs were stained for ER, PgR, HER2 and Ki67 using QIF-AQUA technology or DAB-based immunohistochemistry (DAB-IHC). Central HER2 FISH was performed. Quantitative image analysis was used to generate expression scores that were normalized to produce “IHC4 algorithm” as well as novel algorithm scores. Algorithm scores were compared with disease recurrence in univariate and multivariate Cox Proportional Hazards models. Results: Both DAB-IHC and QIF-AQUA IHC4 continuous models were significant (P |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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