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Evolution’s cartographer: Mapping the fitness landscape in cancer
Cancer Cell  (IF31.743),  Pub Date : 2021-09-30, DOI: 10.1016/j.ccell.2021.09.002
Calum Gabbutt, Trevor A. Graham

Cancer treatment effectiveness could be improved if it were possible to accurately anticipate the response of the tumor to treatment. Writing in Nature, Salehi et al. combine single-cell genomics and mathematical modeling to measure cancer subclone fitness and use these measurements to accurately predict the future trajectory of cancer evolution.