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Updated: Oct 18, 2025

Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
Published on: September 19, 2019
Evolution's cartographer: Mapping the fitness landscape in cancer
Calum Gabbutt1, Trevor A Graham1
1Centre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Sq, London, EC1M 6BQ.
Abstract:
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.
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