Figure 6 |. Features of the PMN can be used for prediction of future metastasis.

Pre-metastatic liver-specific variables were combined in prediction models to classify patients into recurrence patterns. a, Performance of four prediction models generated using Leave-one-out with 10-fold cross-validation. b-c, The four prediction models were run concurrently (b) and their output was used to classify patients into recurrence pattern groups (c). d, Performance of the combined model. e, Summary diagram outlining stepwise comparisons of metastatic patterns, with the characteristic molecular, cellular and metabolic features favoring each pattern (fold-change is shown for continuous variables). AUC: area under the receiver operating characteristic curve.