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Deterministic Evolutionary Trajectories Influence Primary Tumor Growth: TRACERx Renal
Samra Turajlic1, Hang Xu2, Kevin Litchfield2
1Translational Cancer Therapeutics Laboratory, the Francis Crick Institute, London NW1 1AT, UK; Renal and Skin Units, the Royal Marsden NHS Foundation Trust, London SW3 6JJ, UK.
Cell
|April 17, 2018
Summary
This study reveals seven distinct evolutionary subtypes of clear-cell renal cell carcinoma (ccRCC), linking genetic diversity and chromosomal complexity to patient outcomes and suggesting evolutionary potential as a biomarker.
Area of Science:
- Oncology
- Evolutionary Biology
- Genomics
Background:
- Clear-cell renal cell carcinoma (ccRCC) evolution remains understudied.
- Understanding ccRCC evolutionary patterns is crucial for predicting clinical behavior.
Purpose of the Study:
- To systematically analyze the evolutionary features of ccRCC.
- To identify evolutionary subtypes and their association with patient prognosis.
Main Methods:
- Analysis of 1,206 primary tumor regions from 101 ccRCC patients in the TRACERx Renal study.
- Detailed examination of driver event ordering, co-occurrence, and mutual exclusivity at the clonal level.
Main Results:
- Observed up to 30 driver events per tumor, with subclonal diversification linked to prognostic parameters.
- Identified seven ccRCC evolutionary subtypes, from rapidly metastasizing tumors to those with extensive parallel evolution.
- Genetic diversity and chromosomal complexity were identified as key determinants of patient outcome.
Conclusions:
- ccRCC evolutionary subtypes explain variable clinical behavior.
- Evolutionary potential can serve as a biomarker for ccRCC intervention and surveillance strategies.
Keywords:
branched evolutioncancer evolutionchromosome instabilitydeterministic evolutionintratumor heterogeneitylinear evolutionmetastasispunctuated evolutionrenal cell cancertumor diversityMore Related Videos
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