Abstract P2-18-06: Value of PAM50 risk of recurrence score in patients with HR positive HER2 negative early breast cancer and intermediate risk: A single cancer center institution prospective observational study

Author(s):  
Vincent Nicolaï ◽  
Julia Gilhodes ◽  
Jean Louis Lacaze ◽  
Mony Ung ◽  
Eleonora De Maio ◽  
...  
Author(s):  
Paolo Giorgi Rossi ◽  
◽  
Annette Lebeau ◽  
Carlos Canelo-Aybar ◽  
Zuleika Saz-Parkinson ◽  
...  

Abstract Background Predicting the risk of recurrence and response to chemotherapy in women with early breast cancer is crucial to optimise adjuvant treatment. Despite the common practice of using multigene tests to predict recurrence, existing recommendations are inconsistent. Our aim was to formulate healthcare recommendations for the question “Should multigene tests be used in women who have early invasive breast cancer, hormone receptor-positive, HER2-negative, to guide the use of adjuvant chemotherapy?” Methods The European Commission Initiative on Breast Cancer (ECIBC) Guidelines Development Group (GDG), a multidisciplinary guideline panel including experts and three patients, developed recommendations informed by systematic reviews of the evidence. Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision frameworks were used. Four multigene tests were evaluated: the 21-gene recurrence score (21-RS), the 70-gene signature (70-GS), the PAM50 risk of recurrence score (PAM50-RORS), and the 12-gene molecular score (12-MS). Results Five studies (2 marker-based design RCTs, two treatment interaction design RCTs and 1 pooled individual data analysis from observational studies) were included; no eligible studies on PAM50-RORS or 12-MS were identified and the GDG did not formulate recommendations for these tests. Conclusions The ECIBC GDG suggests the use of the 21-RS for lymph node-negative women (conditional recommendation, very low certainty of evidence), recognising that benefits are probably larger in women at high risk of recurrence based on clinical characteristics. The ECIBC GDG suggests the use of the 70-GS for women at high clinical risk (conditional recommendation, low certainty of evidence), and recommends not using 70-GS in women at low clinical risk (strong recommendation, low certainty of evidence).


In Vivo ◽  
2021 ◽  
Vol 35 (3) ◽  
pp. 1821-1828
Author(s):  
LUCIA ANNA URSINI ◽  
MARIANNA NUZZO ◽  
CONSUELO ROSA ◽  
FIORELLA CRISTINA DI GUGLIELMO ◽  
MONICA DI TOMMASO ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12562-e12562
Author(s):  
Fernando Namuche ◽  
Rossana Ruiz ◽  
Zaida Morante ◽  
Claudio J. Flores ◽  
Henry Leonidas Gomez

e12562 Background: Oncotype Dx (ODX) prognosticates the risk of recurrence and predicts the benefit of adjuvant chemotherapy in estrogen-receptor-positive breast cancer (BC). However, it puts aside important clinical features. Our objective is to develop a model that uses routine clinical parameters associated with Oncotype Dx score to estimate the recurrence rate in our population. Methods: We retrospectively reviewed ODX and pathology reports from 371 early BC patients diagnosticated between 2014 and 2016 in a specialized cancer center, with a 5 year follow up. Variables were selected first with a univariate cox regression, then the statistically significant variables underwent a multivariate cox regression. The β coefficients from selected variables were used to create the prediction formula. Results: Among the tested variables, ki67, estrogen receptor (ER) and ODx score were significantly associated with Recurrence. The linear predictor is: (0.1331 x Ki67) + (0.4232 x ER)+(0.2112xODx score). The threshold score for this equation was set on 33 (median value) to discriminate low and high estimated risks for recurrence. The correct classification rate (CCR) for the training and validation sets was 76% and 68%, respectively. Conclusions: It is possible to optimize the Oncotype Dx to better determine a recurrence score with selected pathological features.


Oncotarget ◽  
2017 ◽  
Vol 8 (70) ◽  
pp. 115709-115717 ◽  
Author(s):  
Giuseppe Buono ◽  
Anna Crispo ◽  
Mario Giuliano ◽  
Carmine De Angelis ◽  
Francesco Schettini ◽  
...  

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