21-gene recurrence score assay as a predictor of pathological response in neoadjuvant chemotherapy administration for ER-positive/HER2-negative early-stage breast cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12630-e12630
Author(s):  
Serafin Morales Murillo ◽  
Ariadna Gasol Cudós ◽  
Alvaro Rodriguez ◽  
Carles Canosa Morales ◽  
Jordi Melé Olivé ◽  
...  

e12630 Background: Neoadjuvant chemotherapy (NAC) is an optimal option in early breast cancer, but in ER-positive/HER2-negative (luminal) is still controversial, although a survival benefit has recently been observed when a histological response by symmands method type 0 or I is achieved. The 21-Gene recurrence score assay (Oncotype DX) is a validated test to assess the survival benefit of adjuvant chemotherapy in these patients but its role in neoadjuvant setting is not yet well established unknown. We analyze the correlation between Oncotype DX Recurrence Score result and the pathological response assessed by symmands method. Methods: We analyzed a prospective cohort of 63 early luminal breast cancer patients who received NAC after performing an Oncotype DX test. Patients with an Oncotype DX Recurrence Score result lower 11 were excluded. The median age was 54 years (31-84), initial tumor size was 37 mm (12 -97), 41 patients (65%) had initial nodal involvement and the median Ki67 index was 34% (8 – 85). Results: An Oncotype DX results inferior or equal to 25 (considered as a limited benefit of chemotherapy treatment) was observed in 25 patients (40%) and a Recurrence Score higher than 25 in 38 (60%). Pathological response type 0 was achieved in 5 patients (8%) and type I in 16 (25%). A strong correlation between pathological response type 0 and I and Recurrence Score result in the univariate and multivariate analysis (OR 0,946 p:0,023) was found. We have performed a threshold analysis finding the Oncotype DX the most significant predictor of pathological response (AUC:0,75 p:0,0 01 ) compared to Ki67 (AUC:0,61 p:171), Estrogen receptor (AUC:0,41 p:0,21) and initial tumor size (AUC:0,671 p:0,028). All the patients who achieved a complete pathological response had a Recurrence Score result ≥ 26. Conclusions: The Oncotype DX Recurrence Score could be a useful tool to select early breast cancer patients who will benefit from neoadjuvant chemotherapy. Oncotype DX is the most significant predictor variable of pathological response and patients with a Recurrence Score of 25 or greater are five times more likely to obtain a histological response type 0-1 (OR: 5,3 p < 0,016). In our series the Oncotype DX test reaches the highest rate of complete pathological responses in this group of patients.

2016 ◽  
Vol 157 (3) ◽  
pp. 511-516 ◽  
Author(s):  
R. Lewin ◽  
A. Sulkes ◽  
T. Shochat ◽  
D. Tsoref ◽  
S. Rizel ◽  
...  

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 598-598 ◽  
Author(s):  
Ciara Marie Kelly ◽  
Rose Beamish ◽  
John McCaffrey ◽  
Martina SMITH ◽  
John Crown ◽  
...  

598 Background: Treatment planning for patients with node negative, ER-positive, HER-2 negative breast cancer often incorporates the use of prognostic and predictive tools like Oncotype DX. Prior to the availabilty of Oncotype DX, clinicopathologic factors such as age, nodal status, tumour size and grade were used to determine risk of recurrence (ROR). RSPC represents a validated formal integration of oncotype DX recurrence score (RS) and clinicopathologic factors that further refines prognostic accuracy. RSPC does not improve the prediction of likelihood of chemotherapy benefit. The objective of this study was to compare distant recurrence risk assessment by RS and RSPC. Methods: We included patients with node negative, ER-positive, HER2-negative breast cancer who had Oncotype DX testing routinely or on clinical trial. We retrospectively reviewed patient charts and extracted clinicopathological and RS data. We calculated the RSPC using the RSPC educational tool. A comparative analysis was performed looking at the statification of patients into low (LR), intermediate (IR) and high (HR) ROR groups by RS and RSPC. The cut offs for low, intermediate and high risk by the RSPC were set to less than 12%, 12-20% and more than 20% risk of distant recurrence at 10yrs, corresponding to the risks of recurrence associated with the RS categories. Results: We identified 658 patients from 5 academic hospitals in Ireland and the US. Oncotype DX RS classified the following proportions of patients into three risk groups for distant recurrence: LR, n=334 (50.5%), IR, n=259 (39.4%), HR, n=67 (10.1%). RSPC classified the following proportion of patients into the three risk groups for recurrence: LR, n= 455 (69.1%), IR, n=110 (16.7%), HR, n=93 (14.1%). RSPC reclassified 72.6% (n=188) of the IR group (59.1% (n=153) from IR to LR and 13.5% (n=35) from IR to HR). RPSC reclassified 10.5% (n=35) of the LR group (8.1% (n=27) from LR to IR, and 2.4% (n=8) from LR to HR). RSPC reclassified 25.3% (n=17) of the HR group (17.9% (n=12) from HR to IR, and 7.4% (n=5) from HR to LR). Conclusions: RSPC reclassified 240 patients (36.5%) and was most helpful reassigning the IR group.


Cancers ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1133 ◽  
Author(s):  
Claudia Mazo ◽  
Stephen Barron ◽  
Catherine Mooney ◽  
William M. Gallagher

Determining which patients with early-stage breast cancer should receive chemotherapy is an important clinical issue. Chemotherapy has several adverse side effects, impacting on quality of life, along with significant economic consequences. There are a number of multi-gene prognostic signatures for breast cancer recurrence but there is less evidence that these prognostic signatures are predictive of therapy benefit. Biomarkers that can predict patient response to chemotherapy can help avoid ineffective over-treatment. The aim of this work was to assess if the OncoMasTR prognostic signature can predict pathological complete response (pCR) to neoadjuvant chemotherapy, and to compare its predictive value with other prognostic signatures: EndoPredict, Oncotype DX and Tumor Infiltrating Leukocytes. Gene expression datasets from ER-positive, HER2-negative breast cancer patients that had pre-treatment biopsies, received neoadjuvant chemotherapy and an assessment of pCR were obtained from the Gene Expression Omnibus repository. A total of 813 patients with 66 pCR events were included in the analysis. OncoMasTR, EndoPredict, Oncotype DX and Tumor Infiltrating Leukocytes numeric risk scores were approximated by applying the gene coefficients to the corresponding mean probe expression values. OncoMasTR, EndoPredict and Oncotype DX prognostic scores were moderately well correlated according to the Pearson’s correlation coefficient. Association with pCR was estimated using logistic regression. The odds ratio for a 1 standard deviation increase in risk score, adjusted for cohort, were similar in magnitude for all four signatures. Additionally, the four signatures were significant predictors of pCR. OncoMasTR added significant predictive value to Tumor Infiltrating Leukocytes signatures as determined by bivariable and trivariable analysis. In this in silico analysis, OncoMasTR, EndoPredict, Oncotype DX, and Tumor Infiltrating Leukocytes were significantly predictive of pCR to neoadjuvant chemotherapy in ER-positive and HER2-negative breast cancer patients.


2015 ◽  
Vol 33 (15_suppl) ◽  
pp. 564-564
Author(s):  
Ron Lewin ◽  
Shulamith Rizel ◽  
Daniel Hendler ◽  
Victoria Neiman ◽  
Irit Ben-Aharon ◽  
...  

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