Inverse game theory characterizes frequency-dependent selection driven by karyotypic diversity in triple-negative breast cancer
Fig 4
Estimated frequency-dependent interaction coefficients between karyotype defined subpopulations in TNBC PDX mouse models.
(A) Observed (dashed lines) and replicator equation–predicted frequency dynamics (solid lines) for subpopulations (SPs) in TNBC-SA1035 Replicate Group 2. (B) Payoff matrix diagram illustrating interactions between SPs. Red bands represent a negative payoff matrix entry, green bands represent a positive entry. The width of the band represents the relative strength of the interaction, and the arrow gives the direction of the interaction (i.e., which SP receives the payoff). (C) Replicator phase diagram correlating to (B). (D) Ternary plots of replicator dynamics for selected SP combinations: A–F–H (left) and A–C–F (right). (E) Heatmap of copy number alterations (CNAs) across SPs, annotated by sampling timepoint and cluster. (F) Mean population fitness ( from Eq 3) trajectories under different SP compositions. Removing specific SPs alters overall fitness relative to the original composition (red).