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Figure 2 | BMC Cancer

Figure 2

From: Validation of cytoplasmic-to-nuclear ratio of survivin as an indicator of improved prognosis in breast cancer

Figure 2

Survivin CNR and SNAS correlate with patient outcome. (A) Schematic view of the decision tree prognostic classification model based on the continuous automated quantification of SNAS. Examples of breast cancer specimens with low and high SNAS, as defined by the decision tree prognostic model, are also shown. (B) Kaplan-Meier estimation of OS and BCSS comparing patient with high and low SNAS, as defined by the decision tree prognostic model. (C) Schematic view of the prognostic classification model based on the continuous automated quantification of survivin CNR and examples of breast cancer specimens with low and high CNR, as defined by the decision tree prognostic model. (D) Kaplan-Meier estimation of OS and BCSS comparing patient with high and low CNR, as defined by the decision tree prognostic model.

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