Tumor cell intrinsic and extrinsic features predict prognosis in estrogen receptor positive breast cancer
Fig 6
Optimized Cox regression model for prognostic risk prediction.
a Patients in the Curtis validation dataset are significantly grouped by their risk as predicted by the optimized model trained in the Curtis discovery dataset. b Patients are still significantly dichotomized by their risk when clinical variables are removed from the optimized model. c Onco class achieves slightly lower performance than our optimized model without clinical information in grouping patient risk categories. d-f Our optimized model is able to further stratify the Onco high (d), intermediate (e), and low (f) risk classes.