Cancer: Evolution Within a Lifetime

Author:

Gerlinger Marco12,McGranahan Nicholas13,Dewhurst Sally M.1,Burrell Rebecca A.1,Tomlinson Ian45,Swanton Charles16

Affiliation:

1. Cancer Research UK London Research Institute, London, United Kingdom WC2A 3LY;

2. Present address: Translational Oncogenomics Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom SW3 6JB

3. Centre for Mathematics & Physics in the Life Sciences & Experimental Biology (CoMPLEX), University College London, London, United Kingdom WC1E 6BT

4. Molecular and Population Genetics Laboratory, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom OX3 7BN;

5. Oxford National Institute for Health Research (NIHR) Comprehensive Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom OX3 7BN

6. University College London Hospital and Cancer Institute, CRUK Lung Cancer Centre of Excellence, London, United Kingdom WC1E 6DD

Abstract

Subclonal cancer populations change spatially and temporally during the disease course. Studies are revealing branched evolutionary cancer growth with low-frequency driver events present in subpopulations of cells, providing escape mechanisms for targeted therapeutic approaches. Despite such complexity, evidence is emerging for parallel evolution of subclones, mediated through distinct somatic events converging on the same gene, signal transduction pathway, or protein complex in different subclones within the same tumor. Tumors may follow gradualist paths (microevolution) as well as major shifts in evolutionary trajectories (macroevolution). Although macroevolution has been subject to considerable controversy in post-Darwinian evolutionary theory, we review evidence that such nongradual, saltatory leaps, driven through chromosomal rearrangements or genome doubling, may be particularly relevant to tumor evolution. Adapting cancer care to the challenges imposed by tumor micro- and macroevolution and developing deeper insight into parallel evolutionary events may prove central to improving outcome and reducing drug development costs.

Publisher

Annual Reviews

Subject

Genetics

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