A correlation between phenotypical tumor characteristics, quantitative classical immunohistochemistry (IHC), and recurrence score (RS) from Oncotype DX results was used to develop a decision supporting system for clinical use. We created a freely available nomogram based on quantitative IHC results that allows prediction of RS ≤ 25 or ≤ 20. Prospective studies will test this application in clinical practice.

Marazzi, F., Barone, R., Masiello, V., Magri, V., Mule, A., Santoro, A., Cacciatori, F., Boldrini, L., Franceschini, G., Moschella, F., Naso, G., Tomao, S., Gambacorta, M. A., Mantini, G., Masetti, R., Smaniotto, D., Valentini, V., Oncotype DX Predictive Nomogram for Recurrence Score Output: The Novel System ADAPTED01 Based on Quantitative Immunochemistry Analysis, <<CLINICAL BREAST CANCER>>, 2020; 20 (5): e600-e611. [doi:10.1016/j.clbc.2020.04.012] [http://hdl.handle.net/10807/198612]

Oncotype DX Predictive Nomogram for Recurrence Score Output: The Novel System ADAPTED01 Based on Quantitative Immunochemistry Analysis

Marazzi, Fabio;Santoro, Angela;Boldrini, Luca;Franceschini, Gianluca;Gambacorta, Maria Antonietta;Mantini, Giovanna;Masetti, Riccardo;Smaniotto, Daniela;Valentini, Vincenzo
2020

Abstract

A correlation between phenotypical tumor characteristics, quantitative classical immunohistochemistry (IHC), and recurrence score (RS) from Oncotype DX results was used to develop a decision supporting system for clinical use. We created a freely available nomogram based on quantitative IHC results that allows prediction of RS ≤ 25 or ≤ 20. Prospective studies will test this application in clinical practice.
2020
Inglese
Marazzi, F., Barone, R., Masiello, V., Magri, V., Mule, A., Santoro, A., Cacciatori, F., Boldrini, L., Franceschini, G., Moschella, F., Naso, G., Tomao, S., Gambacorta, M. A., Mantini, G., Masetti, R., Smaniotto, D., Valentini, V., Oncotype DX Predictive Nomogram for Recurrence Score Output: The Novel System ADAPTED01 Based on Quantitative Immunochemistry Analysis, <<CLINICAL BREAST CANCER>>, 2020; 20 (5): e600-e611. [doi:10.1016/j.clbc.2020.04.012] [http://hdl.handle.net/10807/198612]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/198612
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