AI Article Synopsis

  • The study explores how genetic diversity within tumors, specifically clear cell renal cell carcinoma, evolves over time and space, using both modeling and real tumor analysis.
  • It finds that the way tumors grow (either on the surface or in volume) significantly influences the levels of subclonal diversity and helps interpret patient tumor characteristics.
  • Additionally, the research highlights that budding structures can be seen in early-stage tumors through imaging, potentially allowing predictions about future clonal evolution.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752443PMC
http://dx.doi.org/10.1038/s41559-021-01586-xDOI Listing

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