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. 2022 Jan 10;126(3):472–481. doi: 10.1038/s41416-021-01593-6

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — a ROC curve for breast cancer prediction performance of the optimal eight-miRNA biomarker panel in the Validation 2 cohort. The point with the maximum classification accuracy is shown as the red box. The sensitivity and specificity values at the maximum accuracy point are also shown. The 95% CI for these values is shown in the brackets. b AUC of eight-miRNA biomarker panel in detecting breast cancer in the Validation 1 and Validation 2 cohorts separated by sample source. c ROC curves for performance of the optimal eight-miRNA biomarker panel in predicting early (stages 0, I and II) and late (stages III and IV) breast cancer in the Validation 2 cohort.