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. 2019 Jul;51(3):1073-1085.
doi: 10.4143/crt.2018.357. Epub 2018 Nov 1.

A Nomogram for Predicting the Oncotype DX Recurrence Score in Women with T1-3N0-1miM0 Hormone Receptor‒Positive, Human Epidermal Growth Factor 2 (HER2)‒Negative Breast Cancer

Affiliations

A Nomogram for Predicting the Oncotype DX Recurrence Score in Women with T1-3N0-1miM0 Hormone Receptor‒Positive, Human Epidermal Growth Factor 2 (HER2)‒Negative Breast Cancer

Sae Byul Lee et al. Cancer Res Treat. 2019 Jul.

Abstract

Purpose: This preliminary study was conducted to evaluate the association between Oncotype DX (ODX) recurrence score and traditional prognostic factors. We also developed a nomogram to predict subgroups with low ODX recurrence scores (less than 25) and to avoid additional chemotherapy treatments for those patients.

Materials and methods: Clinicopathological and immunohistochemical variables were retrospectively retrieved and analyzed from a series of 485 T1-3N0-1miM0 hormone receptor-positive, human epidermal growth factor 2‒negative breast cancer patients with available ODX test results at Asan Medical Center from 2010 to 2016. One hundred twenty-seven patients (26%) had positive axillary lymph node micrometastases, and 408 (84%) had ODX recurrence scores of ≤25. Logistic regression was performed to build a nomogram for predicting a low-risk subgroup of the ODX assay.

Results: Multivariate analysis revealed that estrogen receptor (ER) score, progesterone receptor (PR) score, histologic grade, lymphovascular invasion (LVI), and Ki-67 had a statistically significant association with the low-risk subgroup. With these variables, we developed a nomogram to predict the low-risk subgroup with ODX recurrence scores of ≤25. The area under the receiver operating characteristic curve was 0.90 (95% confidence interval [CI], 0.85 to 0.96). When applied to the validation group the nomogram was accurate with an area under the curve = 0.88 (95% CI, 0.83 to 0.95).

Conclusion: The low ODX recurrence score subgroup can be predicted by a nomogram incorporating five traditional prognostic factors: ER, PR, histologic grade, LVI, and Ki-67. Our nomogram, which predicts a low-risk ODX recurrence score, will be a useful tool to help select patients who may or may not need additional ODX testing.

Keywords: Breast neoplasms; Nomogram; Oncotype; Prediction; Prognosis; Recurrence.

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Conflict of interest statement

Conflict of interest relevant to this article was not reported.

Figures

Fig. 1.
Fig. 1.
Nomogram to predict low-risk recurrence score of Oncotype Dx. LVI, lymphovascular invasion; ER, estrogen receptor; PR, progesterone receptor.
Fig. 2.
Fig. 2.
Receiver operating characteristic curve (ROC) of nomogram. (A) Training dataset of 340 patients. (B) Validation dataset of 145 patients.
Fig. 3.
Fig. 3.
Kaplan-Meier analysis of external validation group according to cutoff of 97. (A) Disease-free survival. (B) Distant metastasis-free survival. (C) Overall survival.
Fig. 4.
Fig. 4.
Nomogram model. (A) Online application. (B) Mobile application. (C) Automatic calculator using Microsoft Excel worksheets.

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