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Figure 6 | BMC Medical Genomics

Figure 6

From: Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures

Figure 6

Integration of clinical and genomic variables to predict pathological complete response (pCR) after anthracycline/taxane-based chemotherapy using Popovici et al. dataset (n = 225). (A) Area under the receiver operating characteristic curve (AUC) for clinical, genomic and combined models in the training and testing sets. (B) Modules and clinical variables that built the combined model evaluated in section (A). Colored squares identify the modules and/or clinical variables association with pCR (red) or non-pCR (green), respectively. Ref, references of previously published modules. Note: Response_Predictor_MDACC, OncoTypeDX RS, NKI 70-gene signature, 76-gene Rotterdam index and ROR-S have been removed for this analysis.

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