Demonstrates how understanding tumor cell behavior informs effective drug combination strategies, highlighting implications for treatment.
Understanding how tumor cells navigate crowded spatial environments to drive progression and how to deter them is challenging. Intracellularly, dynamic protein ensembles link genotype to phenotype. Dysregulation of these ensembles—driven by overexpression and mutational variants—alters the conformational landscapes, shifts cell states, and reshapes cell fate decisions. This diversity, spanning from the molecular level to the tumor microenvironment, triggers resistance mechanisms precipitating efforts to engineer effective combination strategies. Here, we underscore these transient cell states in migration and tissue adaptation, which depend on transcriptomic and signaling compatibility. Our spatial biology outlook envisions a map for designing drug combination strategies targeting both the primary tumor and disseminating cell states with host tissue commonalities, centering on bypass pathways to deter drug resistance and metastasis.
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Nussinov et al. (2026) studied this question.
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