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. 2019 Aug;16(3):575–586. doi: 10.20892/j.issn.2095-3941.2018.0423

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Copyright 2019 Cancer Biology & Medicine

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/

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Analysis of different optimal cutoff for three parameters of Ki67 levels as predictors for relapse-free survival (RFS). (A) Odds ratio (OR) for the probability of RFS in dependence of cutoff point of pretherapeutic Ki67 value. Vertical line marked the optimal cutoff value of 55%. (B) Receiver operating curve (ROC) for determining the optimal cutoff value of pretherapeutic Ki67 in predicting RFS. (C) OR for the probability of RFS in dependence of cutoff point of postsurgical Ki67 value. Vertical line marked the optimal cutoff value of 25%. (D) ROC for determining the optimal cutoff value of postsurgical Ki67 in predicting RFS. (E) OR for the probability of RFS in dependence of cutoff point of Ki67 change levels. Vertical line marked the optimal cutoff value of 12.5%. (F) ROC for determining the optimal cutoff value of Ki67 change in predicting RFS. The plots were calculated by the online biostatistical tool Cutoff Finder¹⁸.