Evolution and Cancer laboratory - Trevor A Graham

We have open positions for postdoctoral research fellows and an senior scientific officer (SSO) to work on measuring and forecasting colorectal cancer evolution.  

The postdocs are part of our Wellcome funded Evolutionary Predictions in Colorectal Cancer (EPICC) project that we run together with Andrea Sottoriva's lab at the ICR.

The SSO role will focus on our Cancer Research UK funded efforts to understand the effects of treatment on both colorectal cancer evolution and cancer stem cell dynamics. 

Details of the posts are here. Please get in touch if you're interested!

Circos plot of copy-number alterations in a colon cancer.
Each ring represents the copy-number alterations in a different
region of the tumour. 

We are a multi-disciplinary Evolution and Cancer laboratory at the Barts Cancer Institute, part of QMUL in London, UK.  Our hope is that understanding how tumours evolve will lead to the development of better biomarkers and optimised therapeutic strategies for cancer patients.  

Our lab consists of an inter-disciplinary team of mathematicians, computer scientists, evolutionary biologists, cancer biologists, and clinicians who work closely together to understand how cancer evolves and to translate our findings into the clinic.  If you're interested in evolution and cancer, get in touch about opportunities to work with us.

Our lab is focused on how the processes of mutation and clonal expansion determine patterns of tumour occurrence and progression.  We attempt to reconstruct and understand the life-history of tumours; in particular by measuring the timing and rate of mutations to understand how, when and why a mutant clone grows.  We are also looking at how to intervene in cancer evolution for therapeutic benefit, and how to measure evolution in a clinically-relevant way.  We are also interested in understanding the phenotypes histological processes that drive clonal expansions in the body.

We utilise a combination of molecular techniques, phylogenetic analyses, mathematical and computational modelling and evolutionary biology theory.

Phylogenetic tree derived from multi-region whole genome sequencing
of a colon cancer. Numbers denote mutation burden on each branch in the tree.