Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study

Author:

Fu XiaoORCID,Zhao YueORCID,Lopez Jose I.,Rowan Andrew,Au Lewis,Fendler AnnikaORCID,Hazell Steve,Xu HangORCID,Horswell Stuart,Shepherd Scott T. C.ORCID,Spencer Charlotte E.,Spain Lavinia,Byrne FionaORCID,Stamp GordonORCID,O’Brien Tim,Nicol David,Augustine Marcellus,Chandra Ashish,Rudman Sarah,Toncheva Antonia,Furness Andrew J. S.,Pickering LisaORCID,Kumar SantoshORCID,Koh Dow-Mu,Messiou ChristinaORCID,Dafydd Derfel ap,Orton Matthew R.,Doran Simon J.ORCID,Larkin James,Swanton CharlesORCID,Sahai ErikORCID,Litchfield KevinORCID,Turajlic SamraORCID,Ben Challacombe ,Chowdhury Simon,Drake William,Fernando Archana,Fotiadis Nicos,Hatipoglu Emine,Harrison-Phipps Karen,Hill Peter,Horsfield Catherine,Marafioti Teresa,Olsburgh Jonathon,Polson Alexander,Quezada Sergio,Varia Mary,Verma Hema,Bates Paul A.ORCID,

Abstract

AbstractGenetic 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.

Funder

Cancer Research UK

Wellcome Trust

RCUK | Medical Research Council

Publisher

Springer Science and Business Media LLC

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3