Prediction of Oncotype DX Recurrence Score Using Clinicopathological Variables in Estrogen Receptor-Positive/Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer

김민종; 권선영; 최정은; 강수환; 배영경

doi:10.4048/jbc.2023.26.e19

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자료유형: 학술저널

저자정보: 김민종 (Department of Pathology Yeungnam University College of Medicine Daegu Korea.) 권선영 (Department of Pathology Keimyung University School of Medicine Daegu Korea.) 최정은 (Department of Surgery Breast Cancer Center Yeungnam University College of Medicine Daegu Korea.) 강수환 (Department of Surgery Breast Cancer Center Yeungnam University College of Medicine Daegu Korea.) 배영경 (Department of Pathology Yeungnam University College of Medicine Daegu Korea.)

저널정보: 한국유방암학회 Journal of Breast Cancer Journal of Breast Cancer Vol.26 No.2

발행연도: 2023.4

수록면: 105 - 116 (12page)

DOI: 10.4048/jbc.2023.26.e19

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Purpose Oncotype DX (ODX) is a well-validated multigene assay that is increasingly used in Korean clinical practice. This study aimed to develop a clinicopathological prediction (CPP) model for the ODX recurrence scores (RSs). Methods A total of 297 patients (study group, n = 175; external validation group, n = 122) with estrogen receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative, T1-3N0-1M0 breast cancer, and available ODX test results were included in the study. Risk categorization as determined by ODX RSs concurred with the TAILORx study (low-risk, RS ≤ 25; high-risk, RS > 25). Univariate and multivariate logistic regression analyses were used to assess the relationships between clinicopathological variables and risk stratified by the ODX RSs. A CPP model was constructed based on regression coefficients (β values) for clinicopathological variables significant by multivariate regression analysis. Results Progesterone receptor (PR) negativity, high Ki-67 index, and nuclear grade (NG) 3 independently predicted high-risk RS, and these variables were used to construct the CPP model. The C-index, which represented the discriminatory ability of our CPP model for predicting a high-risk RS, was 0.915 (95% confidence interval [CI], 0.859–0.971). When the CPP model was applied to the external validation group, the C-index was 0.926 (95% CI, 0.873–0.978). Conclusion Our CPP model based on PR, Ki-67 index, and NG could aid in the selection of patients with breast cancer requiring an ODX test.

#Breast Neoplasms #Drug Therapy #Ki-67 Antigen #Receptors #Progesterone #Recurrence

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