Predicting the Clinical Outcome of Triple-Negative Breast Cancer Based on the Gene Expression Characteristics of Necroptosis and Different Molecular Subtypes

<div>Clinical prognostic model development and examination. (a) Multivariate Cox regression-based forest map of model genes in RNAseq data set. (b) ROC and the KM survival curves depicting NPRS in RNAseq training queue. (c) ROC and KM survival curves depicting NPRS in RNAseq validation queue. (d) ROC and KM survival curves depicting NPRS in RNAseq queue.</div>

Stem Cells International

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Figure 6

Figure 6: Predicting the Clinical Outcome of Triple-Negative Breast Cancer Based on the Gene Expression Characteristics of Necroptosis and Different Molecular Subtypes 

Figure 6 | Predicting the Clinical Outcome of Triple-Negative Breast Cancer Based on the Gene Expression Characteristics of Necroptosis and Different Molecular Subtypes 