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. 2016 Jun 17;29(10):1143–1154. doi: 10.1038/modpathol.2016.112

Figure 2.

Figure 2

AQUA and Tissue Studio quantification and data-driven dichotomization of nuclear pYStat5 levels reproducibly identify a similar subset of estrogen receptor-positive breast cancer patients with low tumor levels of nuclear pYStat5 at increased risk of disease recurrence. Quantitative fluorescence immunohistochemistry values were computed for Nuc-pYStat5 in 193 estrogen receptor-positive breast cancer specimens using the PM2000/AQUA and ScanScopeFL/TissueStudio platforms. Data-driven, objective cutpoints to identify tumors with low fluorescent immunohistochemistry-detected Nuc-pYStat5 (Nuc-pYStat5 IFlow) or high Nuc-pYStat5 (Nuc-pYStat5 IFhigh) were derived from data generated on the (a) PM2000/AQUA or (c) ScanScopeFL/TissueStudio platform, and Kaplan–Meier analysis of recurrence-free survival was performed for each platform. Both platforms identified a similar sub-population of patients whose tumors displayed low Nuc-pYStat5 (≈20%) and were at increased risk of recurrence. The data-driven optimal cutpoint for PM2000/AQUA was linearly calibrated to the (b) ScanScopeFL/TissueStudio data using the equation ScanScopeFL/TissueStudio=0.43+0.95 × PM2000/AQUA and the data-driven optimal cutpoint for ScanScopeFL/TissueStudio was linearly calibrated for the (d) PM2000-AQUA data using the equation PM2000/AQUA=−0.45+1.06 × ScanScopeFL/TissueStudio. Calibrated cutpoints derived from one platform were then applied to the fluorescence immunohistochemistry values of the alternative platform and subjected to a second Kaplan–Meier analysis (b and d).