Figure 5. Combining prognostic signatures for overall survival.
We tested combinations of clinical, genomic, and radiomic signatures. To a clinical Cox proportional-hazards regression model with stage and histology, we first added a published gene signature and next a published radiomic signature. These models were fitted on Dataset1 and evaluated with the C-index (CI) on Dataset2. An asterisk indicates significance (p<0.05). Combining different data types resulted in increased prognostic performances. By adding radiomic and genomic information, the initial performance of the clinical model was increased from CI = 0.65 (Noether p=0.001) to CI = 0.73 (p=2×10−9).
Figure 5—figure supplement 1. Prognostic performance of two radiomic signatures (i.e., a previously published and a novel signature) combined with genetic and clinical information.
Figure 5—figure supplement 2. Prognostic performance of two radiomic signatures combined with different gene signatures and clinical information.
