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DOI	10.1038/s41559-021-01586-x
	Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study
	Fu X.; Zhao Y.; Lopez J.I.; Rowan A.; Au L.; Fendler A.; Hazell S.; Xu H.; Horswell S.; Shepherd S.T.C.; Spencer C.E.; Spain L.; Byrne F.; Stamp G.; O’Brien T.; Nicol D.; Augustine M.; Chandra A.; Rudman S.; Toncheva A.; Furness A.J.S.; Pickering L.; Kumar S.; Koh D.-M.; Messiou C.; Dafydd D.; Orton M.R.; Doran S.J.; Larkin J.; Swanton C.; Sahai E.; Litchfield K.; Turajlic S.; Ben Challacombe; Chowdhury S.; Drake W.; Fernando A.; Fotiadis N.; Hatipoglu E.; Harrison-Phipps K.; Hill P.; Horsfield C.; Marafioti T.; Olsburgh J.; Polson A.; Quezada S.; Varia M.; Verma H.; Bates P.A.; on behalf of the TRACERx Renal Consortium
发表日期	2022
ISSN	2397-334X
起始页码	88
结束页码	102
卷号	6 期号:1
英文摘要	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. ? 2021, The Author(s).
语种	英语
scopus关键词	clonal evolution; human; neoplasm; Clonal Evolution; Humans; Neoplasms
来源期刊	Nature Ecology & Evolution
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/257215
作者单位	Biomolecular Modelling Laboratory, The Francis Crick Institute, London, United Kingdom; Tumour Cell Biology Laboratory, The Francis Crick Institute, London, United Kingdom; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom; Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Pathology, Cruces University Hospital, Biocruces-Bizkaia Institute, Barakaldo, Spain; Cancer Dynamics Laboratory, The Francis Crick Institute, London, United Kingdom; Renal and Skin Units, The Royal Marsden Hospital, London, United Kingdom; Department of Pathology, the Royal Marsden NHS Foundation Trust, London, United Kingdom; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, United States; Depart...
推荐引用方式 GB/T 7714	Fu X.,Zhao Y.,Lopez J.I.,et al. Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study[J],2022,6(1).
APA	Fu X..,Zhao Y..,Lopez J.I..,Rowan A..,Au L..,...&on behalf of the TRACERx Renal Consortium.(2022).Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study.Nature Ecology & Evolution,6(1).
MLA	Fu X.,et al."Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study".Nature Ecology & Evolution 6.1(2022).