@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 = "Gianluca Franceschini and Gambacorta, {Maria Antonietta} and Riccardo Masetti and Vincenzo Valentini and Fabio Marazzi and Luca Boldrini and Giovanna Mantini and Daniela Smaniotto and Roberto Barone and Valentina Magri and Giuseppe Naso and Silverio Tomao",
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 = "Dallas, Tex. : Cancer Information Group, LP, c2000-",
}