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

Fabio Marazzi; R. Barone; V. Masiello; V. Magri; A. Mule; Angela Santoro; F. Cacciatori; Luca Boldrini; Gianluca Franceschini; F. Moschella; G. Naso; S. Tomao; Maria Antonietta Gambacorta; G. Mantini; R. Masetti; D. Smaniotto; V. 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
, R. Barone
, V. Masiello^*
, V. Magri
, A. Mule
, Angela Santoro
, F. Cacciatori
, Luca Boldrini
, Gianluca Franceschini
, F. Moschella
, G. Naso
, S. Tomao
, Maria Antonietta Gambacorta
, G. Mantini
, R. Masetti
, D. Smaniotto
, V. Valentini

^*Autore corrispondente per questo lavoro

RADIUS S.r.l.
University “La Sapienza” of Rome

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
Numero di pubblicazione	5
DOI	https://doi.org/10.1016/j.clbc.2020.04.012
Stato di pubblicazione	Pubblicato - 2020

OSS delle Nazioni Unite

Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile

SDG 3 Salute e benessere

All Science Journal Classification (ASJC) codes

Oncologia
Ricerca sul Cancro

Keywords

80 and over
Adjuvant chemotherapy
Adult
Aged
Biomarkers
Breast Neoplasms
Breast cancer
Decision supporting system
Estrogen Receptor alpha
Female
Gene Expression Profiling
Genetic Testing
Health costs
Humans
Immunohistochemistry
Ki-67 Antigen
Local
Middle Aged
Neoplasm Recurrence
Nomograms
Progesterone
Prognosis
Quantitative IHC
ROC Curve
Receptors
Retrospective Studies
Tumor

Accesso al documento

10.1016/j.clbc.2020.04.012

Altri file e collegamenti

Cita questo

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. (2020). Oncotype DX Predictive Nomogram for Recurrence Score Output: The Novel System ADAPTED01 Based on Quantitative Immunochemistry Analysis. Clinical Breast Cancer, 20(5), 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 = "80 and over, Adjuvant chemotherapy, Adult, Aged, Biomarkers, Breast Neoplasms, Breast cancer, Decision supporting system, Estrogen Receptor alpha, Female, Gene Expression Profiling, Genetic Testing, Health costs, Humans, Immunohistochemistry, Ki-67 Antigen, Local, Middle Aged, Neoplasm Recurrence, Nomograms, Progesterone, Prognosis, Quantitative IHC, ROC Curve, Receptors, Retrospective Studies, Tumor, 80 and over, Adjuvant chemotherapy, Adult, Aged, Biomarkers, Breast Neoplasms, Breast cancer, Decision supporting system, Estrogen Receptor alpha, Female, Gene Expression Profiling, Genetic Testing, Health costs, Humans, Immunohistochemistry, Ki-67 Antigen, Local, Middle Aged, Neoplasm Recurrence, Nomograms, Progesterone, Prognosis, Quantitative IHC, ROC Curve, Receptors, Retrospective Studies, Tumor",

author = "Fabio Marazzi and R. Barone and V. Masiello and V. Magri and A. Mule and Angela Santoro and F. Cacciatori and Luca Boldrini and Gianluca Franceschini and F. Moschella and G. Naso and S. Tomao and Gambacorta, \{Maria Antonietta\} and G. Mantini and R. Masetti and D. Smaniotto and V. 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.",

number = "5",

}

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, 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, n. 5, 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, R.

AU - Masiello, V.

AU - Magri, V.

AU - Mule, A.

AU - Santoro, Angela

AU - Cacciatori, F.

AU - Boldrini, Luca

AU - Franceschini, Gianluca

AU - Moschella, F.

AU - Naso, G.

AU - Tomao, S.

AU - Gambacorta, Maria Antonietta

AU - Mantini, G.

AU - Masetti, R.

AU - Smaniotto, D.

AU - Valentini, V.

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 - 80 and over

KW - Adjuvant chemotherapy

KW - Adult

KW - Aged

KW - Biomarkers

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 - Local

KW - Middle Aged

KW - Neoplasm Recurrence

KW - Nomograms

KW - Progesterone

KW - Prognosis

KW - Quantitative IHC

KW - ROC Curve

KW - Receptors

KW - Retrospective Studies

KW - Tumor

KW - 80 and over

KW - Adjuvant chemotherapy

KW - Adult

KW - Aged

KW - Biomarkers

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 - Local

KW - Middle Aged

KW - Neoplasm Recurrence

KW - Nomograms

KW - Progesterone

KW - Prognosis

KW - Quantitative IHC

KW - ROC Curve

KW - Receptors

KW - Retrospective Studies

KW - Tumor

UR - https://publicatt.unicatt.it/handle/10807/198612

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85086509246&origin=inward

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85086509246&origin=inward

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

IS - 5

ER -

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

Abstract

OSS delle Nazioni Unite

All Science Journal Classification (ASJC) codes

Keywords

Accesso al documento

Altri file e collegamenti

Fingerprint

Cita questo