CAR-T Antigen Escape: CD19-Negative Relapse
Interactive 3D model of CAR-T cell immunotherapy applying Darwinian selection pressure to a tumor cell population, watching CD19-negative antigen-escape subclones emerge and relapse.
CAR-T cell therapy engineers a patient's own T-cells to recognise a single tumor surface marker — usually CD19 in B-cell cancers — and kill any cell that carries it. But that selective pressure is a Darwinian filter: cells with less of the target antigen survive slightly more often, divide, and pass a little less antigen to their offspring. This simulator runs a real stochastic birth–death model of a 3D tumor cell population under CAR-T attack, tracking each cell's individual antigen level as CAR-T cells (green) patrol and preferentially kill the antigen-high cells (red) while antigen-low escape variants (grey) quietly expand underneath the response — the mechanism behind the antigen-loss relapses seen in real CAR-T patients.
A 3D stochastic model of CAR-T cell immunotherapy: watch Darwinian selection pressure from antigen-targeting T-cells drive a tumor population toward CD19-negative escape variants and relapse.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install