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Background: In those with one to three positive lymph nodes (N1) breast cancer (BC), the 21-gene recurrence score (RS) classification can be referred for decision-making on adjuvant chemotherapy. This study aimed to investigate the effect of RS in predicting the survival benefit of postoperative radiotherapy (PORT) in T1-2N1 BC with estrogen receptor-positive and human epidermal growth factor receptor 2-negative disease after breast-conserving surgery (BCS).
Methods: We included patients with BC and available RS data from the Surveillance, Epidemiology, and End Results Oncotype DX database. The chi-square test, Kaplan-Meier method, propensity score matching (PSM) as well as multivariable Cox proportional hazard analyses were used for statistical analyses.
Results: We included 6509 patients in the analysis. Of these patients, 5302 (85.5%) were treated with BCS + PORT, and 207 (15.5%) had BCS alone. There were 1419 (21.8%), 4319 (66.4%), and 771 (11.8%) patients being low-, intermediate-, and high-risk RS, respectively. After PSM, PORT was significantly associated with a 5-year overall survival (OS) advantage (95.1% vs. 90.5%, P < 0.001) compared to those without PORT, which similar breast cancer-specific survival (BCSS) was found between the treatment arms (P = 0.126). The sensitivity analyses showed that PORT was not associated with a better BCSS (P = 0.472) and OS (P = 0.650) than those without PORT in the low-risk RS cohort. However, PORT was associated with a better BCSS (P = 0.031) and OS (P < 0.001) compared to those without PORT in the intermediate/high-risk RS cohorts.
Conclusions: Our study highlights the possible role of the RS in predicting the outcome of PORT in T1-2N1 luminal BC patients undergoing BCS.
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http://dx.doi.org/10.1016/j.breast.2024.103679 | DOI Listing |
Ann Surg Oncol
September 2025
Division of Surgical Oncology, Department of Surgery, University of Rochester Medical Center, Rochester, NY, USA.
Cancer Med
September 2025
Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
Background: Oncotype DX 21-gene assays are recommended for evaluating distant recurrence and guiding decisions on the use of adjuvant therapy in ER+/HER2- breast cancers. However, it cannot be widely applied due to the high cost and time consumption.
Purpose: To identify MRI radiomics signatures within tumor and peritumoral tissues associated with the 21-gene recurrence score (RS) and explore their value in predicting 5-year recurrence in young women with ER+/HER2- breast cancer.
Ann Surg Oncol
August 2025
Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Background: The ACOSOG-Z0011 and AMAROS trials showed that axillary lymph node dissection (ALND) provided no benefit for patients with 1-2 positive sentinel lymph nodes (+SLNs). There remains apprehension to omit ALND for patients in whom only 1-2 SLNs are retrieved and all are positive. This study evaluates current practices and pathological findings when ALND is pursued.
View Article and Find Full Text PDFAnn Surg Oncol
August 2025
Division of Surgical Oncology, Department of Surgery, University of Rochester Medical Center, Rochester, NY, USA.
Background: Breast cancer treatment is increasingly based on biologic instead of anatomic factors; however, some decisions still rely on anatomic information obtained at axillary lymph node dissection (ALND), such as chemotherapy administration. The goal of this study was to determine if the Oncotype DX 21-gene recurrence score (RS) or the number of positive lymph nodes (+LNs) were stronger predictors of overall survival (OS), to potentially support ALND omission.
Methods: The National Cancer Database was queried for patients aged ≥18 years with non-metastatic, hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) breast cancer with available RS treated with upfront surgery from 2018 to 2019.
medRxiv
May 2025
Taub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel.
Genomic testing has transformed treatment decisions for hormone receptor-positive, HER2-negative (HR+/HER2-) early breast cancer; however, it remains inaccessible to many patients worldwide due to high costs and logistical barriers. Here, we developed an artificial intelligence (AI) model using a multimodal deep learning approach that estimates Oncotype DX 21-gene recurrence scores (RS) from routine histopathology images and clinicopathologic variables, including age at diagnosis, tumor size, and receptor status. Using a foundation model pre-trained on 171,189 histopathological slides, we fine-tuned and validated our AI model on the TAILORx randomized trial (n=8,284).
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