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Sinha and colleagues present PERCEPTION, a precision oncology computational pipeline that can predict the response and resistance of patients by analyzing single-cell transcriptomic data from their tumor samples.
Hsiehchen and colleagues assess the association between tumor mutational burden and survival in a real-world cohort of patients with microsatellite-stable cancers.
Salvadores and Supek derive three regional mutation density signatures from whole-genome profiles of >4,000 tumors that are associated with cell cycle gene expression and alter somatic mutation rates independently of tissue of origin.