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

Gianluca Franceschini, Maria Antonietta Gambacorta, Riccardo Masetti, Vincenzo Valentini, Fabio Marazzi, Luca Boldrini, Giovanna Mantini, Daniela Smaniotto, Roberto Barone, Valentina Magri, Giuseppe Naso, Silverio Tomao

Risultato della ricerca: Contributo in rivistaArticolo in rivista

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 originaleEnglish
pagine (da-a)e600-e611
RivistaClinical Breast Cancer
Volume20
DOI
Stato di pubblicazionePubblicato - 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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