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. 2019 May 28;10:574. doi: 10.3389/fphar.2019.00574

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Copyright © 2019 Zeng, Wang, Zhou, Zhang, Sun, Zhang, Zhou, Liu and Zhu.

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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Unsupervised clustering heatmaps and ROC curves for publically available signatures. Heatmaps based on genes (rows) of patients with breast cancer (columns) for the Oncotype DX (A), GGI (B), and Gene70 (C) signatures. Red and blue indicate high and low expression, respectively. ROC curves assess the accuracy of the three-lncRNA, Oncotype DX, GGI and Gene70 signatures for all patients (D), patients treated with TA (E, taxane and anthracycline), TFAC (F, taxane, 5-fluorouracil, anthracycline, and cytoxan) and FAC (G, 5-fluorouracil, anthracycline, and cytoxan). True positive rate represents module sensitivity, whereas false positive rate is one minus the specificity.