Outcome of adjuvant chemotherapy in elderly patients with early‐stage, hormone receptor‐positive, HER‐2‐negative breast cancer

2020 ◽  
Vol 26 (10) ◽  
pp. 2026-2030
Author(s):  
Sung Jun Ma ◽  
Oluwadamilola T. Oladeru ◽  
Anurag K. Singh
2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12519-e12519
Author(s):  
Noman Ahmed Jang Khan ◽  
Mahmoud Abdallah ◽  
Todd W. Gress ◽  
Mohamed Farouq Alsharedi

e12519 Background: The 21 gene assay Oncotype Dx Breast Recurrence Score (RS) is currently the standard of care to determine if adjuvant chemotherapy is needed in early stage node negative, hormone receptor positive, HER-2 negative breast cancer. In current American society of clinical oncology (ASCO) guidelines there is little or no benefit of adjuvant chemotherapy in patients older than 50 years whose tumors have Oncotype DX RS <26, and for patients 50 years or less whose tumors have Oncotype DX RS <16. We sought to evaluate the percentage of estrogen receptor (ER) expression as a surrogate measure of determining adjuvant chemotherapy by examining the relationship between ER expression and RS. Methods: We identified 301 patients from years 2015 to 2019 from our cancer registry with early stage hormone receptor positive breast cancer and had oncotype DX testing performed. We divided patients into three groups: Group 1 (ERG1) with ER <10%; Group 2 (ERG2) with ER 10-49%; and Group 3 (ERG3) with ER equal or >50%. We also collected information on tumor size (cm), tumor grade, Nottingham score, and ki-67 percentage. A sub-group analysis was performed for patients < 50 years age (n=30). We compared all continuous variables across ER groups using the Kruskal-Wallis rank test and individual between group comparisons using the Wilcoxon rank sum test. All statistical tests performed utilized a two-tailed p value of <0.05 with the Bonferroni correction for multiple comparisons. Results: Among 301 patients with early stage hormone receptor positive breast cancer, 89.1% were ductal, 7.9% lobular, and 2.9% mixed histology. Median age was 68, 58 and 66 for ERG1, ERG2, and ERG3, respectively (p = 0.41). Median RS was 36 (ERG1), 23 (ERG2), and 16 (ERG3) (p = 0.78 for ERG1 vs. ERG2; p = 0.01 for ERG1 vs. ERG3). As expected, tumor grade, tumor size, and Nottingham score decreased significantly from ERG1 to ERG3. For patients <50 years, median age was 44, 46 and 45 for ERG1, ERG2, and ERG3, respectively (p = 0.75). Median RS was 10 (ERG1), 24 (ERG2) and 18 (ERG3) (p = 0.04 for ERG1 vs. ERG2; p = 0.17 for ERG1 vs. ERG3). Conclusions: We found a significant association between estrogen receptor levels and Oncotype Dx recurrence score (RS) in patients with early stage hormone receptor positive breast cancer patients. Further studies are needed to determine the predictive ability of hormone receptor levels on the outcomes of patients treated for early stage hormone receptor positive breast cancer.


2020 ◽  
Author(s):  
Soo Youn Cho ◽  
Jeong Hoon Lee ◽  
Jai Min Ryu ◽  
Jeong Eon Lee ◽  
Eun Yoon Cho ◽  
...  

Abstract Background: The predictive value of adjuvant chemotherapy for early-stage hormone receptor-positive breast cancer has been only validated by a 21-gene expression assay. We hypothesized that deep-learning prediction from HE images, called Lunit-SCOPE, is a potential prognostic and predictive biomarker of adjuvant chemotherapy.Methods: We retrospectively collected HE slides from 1153 de-identified breast cancer patients at the Samsung Medical Center (SMC) in order to develop a deep-learning algorithm called Lunit-SCOPE. The histological parameters from 255 patients, deciphered by Lunit-SCOPE, were trained to predict the recurrence score (RS) using the 21-gene assay from Oncotype DX. We validated the model’s performance using the recurrence survival of 898 patients and The Cancer Genome Atlas (TCGA) cohort, and examined related biological functions through RNA sequence data.Results: The histologic parameter-based RS prediction model predicted the oncotype DX score (R2=0.96) and the recurrence survival analysis on the validation (p<0.01) and TCGA cohort (p<0.01), where the most important variables were the nuclear grade and the mitotic cells in the cancer epithelium. Of the 85 patients classified as the high-risk group, 72 patients who received adjuvant therapy had a significantly better survival (p<0.01). The functions of the top 300 highly correlated genes with a predicted RS were enriched for cell cycle, nuclear division and cell division. Of the 21-genes from the Oncotype DX, the predicted RS had positive correlations with the proliferation category genes and was negatively correlated with the prognostic genes in the estrogen category.Conclusion: An integrative analysis using Lunit-SCOPE predicts a high risk of recurrence and those who would benefit from adjuvant chemotherapy for early-stage hormone-positive breast cancer.


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