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. 2021 May 5;12:2536. doi: 10.1038/s41467-021-22913-7

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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. 5 — a Heatmap of ΔIntensity of EV protein markers in patients with PR (n = 11), SD (n = 9), or PD (n = 7). b Values of the EV^M signature (the weighted sum of ΔIntensity of eight markers by LDA) for SD/PR (n = 20 samples, blue dots) and PD (n = 7 samples, red dots) groups. c Confusion matrix showing that the EV^M signature had an accuracy of 85.2% in differentiating PD from PR/SD. d EV^M signature values in the HR + BC group (PR/SD: n = 26 samples, void red dots; PD: n = 9 samples, solid red dots), the HER2 + BC group (PR/SD: n = 33 samples, void blue dots; PD: n = 8 samples, solid blue dots), and the TNBC group (PR/SD: n = 22 samples, void green dots; PD: n = 7 samples, solid green dots). e ROC curves showing similar performance of the EV^M signature for classifying treatment response in different BC subtypes (HR + , red line; HER2 + , blue line; TNBC, green line). Statistical differences were determined by two-sided, nonparametric Mann–Whitney test (b, d). P values are indicated in the charts. Error bars represent the mean ± s.d. in (b, d). Source data are provided as a Source Data file.