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. 2021 Aug 30;12:704655. doi: 10.3389/fimmu.2021.704655

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Copyright © 2021 Fu, Liu, Han, Pan, Wang, Wang, Dai and Yang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Cross-validated ROC curves based on the multivariate logistic regression model for predicting pCR to paclitaxel and anthracycline-based neoadjuvant chemotherapy in breast cancer. (A) The area under ROC curve (AUC) of the 25-gene signature alone or in combination with clinical features were 0.9558 and 0.9587, respectively, compared with the lower AUC (0.7213) of the model that only included clinical features. (B) A constructed nomogram for predicting pCR to paclitaxel and anthracycline-based neoadjuvant chemotherapy in breast cancer. pCR, pathologic complete response.