Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal studyMore about Open Access at the Crick
Authors listXiao Fu Yue Zhao Jose I Lopez Andrew Rowan Lewis Au Annika Fendler Steve Hazell Hang Xu Stuart Horswell Scott Shepherd Charlotte E Spencer Lavina Spain Fiona Byrne Gordon Stamp Tim O'Brien David Nicol Marcellus Augustine Ashish Chandra Sarah Rudman Antonia Toncheva Andrew JS Furness Lisa Pickering Santosh Kumar Dow-Mu Koh Christina Messiou Derfel ap Dafydd Matthew R Orton Simon J Doran James Larkin Charles Swanton Erik Sahai Kevin Litchfield Samra Turajlic TRACERx Renal Consortium Paul Bates
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Genetic intra-tumour heterogeneity fuels clonal evolution, but our understanding of clinically relevant clonal dynamics remain limited. We investigated spatial and temporal features of clonal diversification in clear cell renal cell carcinoma through a combination of modelling and real tumour analysis. We observe that the mode of tumour growth, surface or volume, impacts the extent of subclonal diversification, enabling interpretation of clonal diversity in patient tumours. Specific patterns of proliferation and necrosis explain clonal expansion and emergence of parallel evolution and microdiversity in tumours. In silico time-course studies reveal the appearance of budding structures before detectable subclonal diversification. Intriguingly, we observe radiological evidence of budding structures in early-stage clear cell renal cell carcinoma, indicating that future clonal evolution may be predictable from imaging. Our findings offer a window into the temporal and spatial features of clinically relevant clonal evolution.
Journal Nature Ecology and Evolution
Issue number 1