The Great Escape: Systems Biology of Endocrine Resistance and Lineage Plasticity

Abstract

Endocrine therapies initially enforce lineage identity in hormone-driven cancers, yet sustained hormonal suppression often triggers a coordinated systems-level rewiring through lineage plasticity. Previously, lineage plasticity has been characterized as a discrete bypass mechanism, which lacks fluidic identity changes. Here, we describe the process as a progressive, adaptive trajectory of endocrine escape. We describe how the disruption of hormone receptor-anchored identity programs creates permissive conditions for transitions into HR-indifferent or neuroendocrine- or basal-like states. Next, we summarize historical methodologies for investigating lineage plasticity, such patient-derived organoids, genetically engineered mouse models (GEMMS), lineage tracing, and single-cell multi-omics, and discuss novel systems biology approaches to enable the early detection and modeling of these unstable intermediate states. Lastly, we present promising and potential uses for artificial intelligence and machine learning for dissecting therapy-induced identity shifts and resistance mechanisms. Intercepting these trajectories before lineage commitment offers a critical window for precision oncology interventions.