University College London | United Kingdom
Our group's aim is to use the longitudinal TRACERx cancer cohorts to learn how genome instability fosters cell-to-cell variation – the substrate upon which Darwinian selection and evolution acts. Through this understanding, we hope to unravel the basis for drug resistance, develop means to stall evolution and target multiple ubiquitous clonal alterations through immune-based approaches.
Keywords: Cancer evolution / genome instability / chromosomal instability / personalised medicine / lung cancer
Subject area(s): Evolution & Ecology | Molecular Medicine | Genomic & Computational Biology | Genome Stability & Dynamics