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. 2019 Sep 18;7:255. doi: 10.1186/s40425-019-0734-6

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 3 — Prognostic potential predictive role of MDSCs in PDAC patients. a Kaplan–Meier curves for OS by significant MDSC2 cutoff frequency in fresh whole blood samples. b MDSC2 percentages in non-metastatic and metastatic PDAC patients. Mean and 95% confidence interval are plotted. Statistical analysis was performed by ANOVA test. c Receiver operator characteristic (ROC) curve for MDSC2 percentage in metastatic disease prediction. d Waterfall plot of optimal dichotomization; blue and red bars represent cases with correct or wrong classification, respectively. e MDSC4 percentage in non-recurrent and recurrent PDAC patients. Mean and 95% confidence interval are plotted. Statistical analysis was performed by ANOVA test. f Receiver operator characteristic (ROC) curve for MDSC4 percentage in metastatic disease prediction. g Waterfall plot of optimal dichotomization, blue and red bars represent cases with correct or wrong classification, respectively