Tumor cell intrinsic and extrinsic features predict prognosis in estrogen receptor positive breast cancer
Fig 3
Gene signatures and immune infiltration scores predict patient prognosis.
a-c Signature scores for TP53_mut (a), TNFRSF17_amp (b), and MemB (c) distinguish patients with good and poor prognosis. d ROC curves showing that TP53_mut, TNFRSF17_amp and MemB infiltration score predicts prognosis at a comparable level to Onco-score. e AUC scores of random forest models with different combinations of predictive features. Our Sig+Imm model performs with higher AUC scores than the Onco-score models with and without clinical features. f Relative importance of the top 20 most important genomic aberration and immune infiltration features.