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

Fabio Marazzi; Roberto Barone; Valeria Masiello; Valentina Magri; Antonino Mulè; Angela Santoro; Federica Cacciatori; Luca Boldrini; Gianluca Franceschini; Francesca Moschella; Giuseppe Naso; Silverio Tomao; Maria Antonietta Gambacorta; Giovanna Mantini; Riccardo Masetti; Daniela Smaniotto; Vincenzo Valentini

doi:10.1016/j.clbc.2020.04.012

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

Fabio Marazzi, Roberto Barone, Valeria Masiello, Valentina Magri, Antonino Mulè, Angela Santoro, Federica Cacciatori, Luca Boldrini, Gianluca Franceschini, Francesca Moschella, Giuseppe Naso, Silverio Tomao, Maria Antonietta Gambacorta, Giovanna Mantini, Riccardo Masetti, Daniela Smaniotto, Vincenzo Valentini

Risultato della ricerca: Contributo in rivista › Articolo

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.

Lingua originale	Inglese
pagine (da-a)	e600-e611
Rivista	Clinical Breast Cancer
Volume	20
DOI	https://doi.org/10.1016/j.clbc.2020.04.012
Stato di pubblicazione	Pubblicato - 2020

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

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10.1016/j.clbc.2020.04.012

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Marazzi, F., Barone, R., Masiello, V., Magri, V., Mulè, 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. (2020). Oncotype DX Predictive Nomogram for Recurrence Score Output: The Novel System ADAPTED01 Based on Quantitative Immunochemistry Analysis. Clinical Breast Cancer, 20, e600-e611. https://doi.org/10.1016/j.clbc.2020.04.012

@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.",

}

Marazzi, F, Barone, R, Masiello, V, Magri, V, Mulè, A, Santoro, A, Cacciatori, F, Boldrini, L , Franceschini, G, Moschella, F, Naso, G, Tomao, S, Gambacorta, MA, Mantini, G, Masetti, R, Smaniotto, D & Valentini, V 2020, 'Oncotype DX Predictive Nomogram for Recurrence Score Output: The Novel System ADAPTED01 Based on Quantitative Immunochemistry Analysis', Clinical Breast Cancer, vol. 20, pagg. e600-e611. https://doi.org/10.1016/j.clbc.2020.04.012

TY - JOUR

T1 - Oncotype DX Predictive Nomogram for Recurrence Score Output: The Novel System ADAPTED01 Based on Quantitative Immunochemistry Analysis

AU - Marazzi, Fabio

AU - Barone, Roberto

AU - Masiello, Valeria

AU - Magri, Valentina

AU - Mulè, Antonino

AU - Santoro, Angela

AU - Cacciatori, Federica

AU - Boldrini, Luca

AU - Franceschini, Gianluca

AU - Moschella, Francesca

AU - Naso, Giuseppe

AU - Tomao, Silverio

AU - Gambacorta, Maria Antonietta

AU - Mantini, Giovanna

AU - Masetti, Riccardo

AU - Smaniotto, Daniela

AU - Valentini, Vincenzo

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Adjuvant chemotherapy

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Biomarkers, Tumor

KW - Breast Neoplasms

KW - Breast cancer

KW - Decision supporting system

KW - Estrogen Receptor alpha

KW - Female

KW - Gene Expression Profiling

KW - Genetic Testing

KW - Health costs

KW - Humans

KW - Immunohistochemistry

KW - Ki-67 Antigen

KW - Middle Aged

KW - Neoplasm Recurrence, Local

KW - Nomograms

KW - Prognosis

KW - Quantitative IHC

KW - ROC Curve

KW - Receptors, Progesterone

KW - Retrospective Studies

KW - Adjuvant chemotherapy

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Biomarkers, Tumor

KW - Breast Neoplasms

KW - Breast cancer

KW - Decision supporting system

KW - Estrogen Receptor alpha

KW - Female

KW - Gene Expression Profiling

KW - Genetic Testing

KW - Health costs

KW - Humans

KW - Immunohistochemistry

KW - Ki-67 Antigen

KW - Middle Aged

KW - Neoplasm Recurrence, Local

KW - Nomograms

KW - Prognosis

KW - Quantitative IHC

KW - ROC Curve

KW - Receptors, Progesterone

KW - Retrospective Studies

UR - http://hdl.handle.net/10807/198612

U2 - 10.1016/j.clbc.2020.04.012

DO - 10.1016/j.clbc.2020.04.012

M3 - Article

SN - 1526-8209

VL - 20

SP - e600-e611

JO - Clinical Breast Cancer

JF - Clinical Breast Cancer

ER -

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

Abstract

Keywords

OSS delle Nazioni Unite

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