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. Author manuscript; available in PMC: 2014 Jan 6.
Published in final edited form as: Mol Cancer Ther. 2013 Oct 3;12(12):10.1158/1535-7163.MCT-13-0692. doi: 10.1158/1535-7163.MCT-13-0692

Figure 1. Dot-plot and ROC-plot depictions of BIM patient response discrimination.

Figure 1

A. Dot-plot for the mean %priming (± S.D.) of BIM(0.1) comparing the 22 non-response (NR) and 39 clinical response (CR) patients. Higher BIM(0.1)%primed patients have statistically better clinical response. Statistical significance was determined using the Mann-Whitney Analysis B. ROC-plot of the sensitivity and specificity of BIM(0.1) as a predictor of clinical outcome as determined by the ROC curve (AUC=0.83) using the 61 patients for which there was available data for this marker. C. Multivariate analysis ROC curve for BIM(0.1) alone (Black), or BIM(0.1) combined with significant adjustment clinicopathological variables (+patient age [Red] or +patient age+cytogenetic status [Green]).