@article{b04453fb4897489ab05567b3e6606218,
title = "Oncotype DX Predictive Nomogram for Recurrence Score Output: The Novel System ADAPTED01 Based on Quantitative Immunochemistry Analysis",
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.",
keywords = "Adjuvant chemotherapy, Adult, Aged, Aged, 80 and over, Biomarkers, Tumor, Breast Neoplasms, Breast cancer, Decision supporting system, Estrogen Receptor alpha, Female, Gene Expression Profiling, Genetic Testing, Health costs, Humans, Immunohistochemistry, Ki-67 Antigen, Middle Aged, Neoplasm Recurrence, Local, Nomograms, Prognosis, Quantitative IHC, ROC Curve, Receptors, Progesterone, Retrospective Studies, Adjuvant chemotherapy, Adult, Aged, Aged, 80 and over, Biomarkers, Tumor, Breast Neoplasms, Breast cancer, Decision supporting system, Estrogen Receptor alpha, Female, Gene Expression Profiling, Genetic Testing, Health costs, Humans, Immunohistochemistry, Ki-67 Antigen, Middle Aged, Neoplasm Recurrence, Local, Nomograms, Prognosis, Quantitative IHC, ROC Curve, Receptors, Progesterone, Retrospective Studies",
author = "Fabio Marazzi and Roberto Barone and Valeria Masiello and Valentina Magri and Antonino Mul{\`e} and Angela Santoro and Federica Cacciatori and Luca Boldrini and Gianluca Franceschini and Francesca Moschella and Giuseppe Naso and Silverio Tomao and Gambacorta, {Maria Antonietta} and Giovanna Mantini and Riccardo Masetti and Daniela Smaniotto and Vincenzo Valentini",
year = "2020",
doi = "10.1016/j.clbc.2020.04.012",
language = "English",
volume = "20",
pages = "e600--e611",
journal = "Clinical Breast Cancer",
issn = "1526-8209",
publisher = "Elsevier Inc.",
}
