My lab measures the patterns of clonal evolution that define carcinogenesis and develops novel mathematical tools for analysis and prediction. By characterising tumour evolution, we aim to find better ways to determine prognosis and more effective ways to treat cancers.
Quantification of subclonal selection in cancer from bulk sequencing data. Nature Genetics (2018) 50(6) 895-903. PMID: 29808029
Identification of neutral tumor evolution across cancer types. Nature Genetics (2016) 44, 238-244. PMID: 26780609
The effects of mutational processes and selection on driver mutations across cancer types. Nature Communications (2018) 9(1) 1857. PMID: 29748584
Robust RNA-based in situ mutation detection delineates colorectal cancer subclonal evolution. Nature Communications (2017), 8(1) 1998. PMID: 29222441
The central themes of my lab are:
The major tools of the lab are genomics, bioinformatics, histopathology and mathematical modelling.
Multicentre derivation and validation of a colitis-associated colorectal cancer risk prediction web tool. Curtius K, Kabir M, Al Bakir I et al. Gut (2021) (2)
Author Correction: The effects of mutational processes and selection on driver mutations across cancer types (Nature Communications, (2018), 9, 1, (1857), 10.1038/s41467-018-04208-6) Temko D, Tomlinson IPM, Severini S et al. Nature Communications (2020) 11(7)
Genomic landscape and clonal architecture of mouse oral squamous cell carcinomas dictate tumour ecology Sequeira I, Rashid M, Tomás IM et al. Nature Communications (2020) 11(7)
Measuring single cell divisions in human tissues from multi-region sequencing data Werner B, Case J, Williams MJ et al. Nature Communications (2020) 11(7)
The MOBSTER R package for tumour subclonal deconvolution from bulk DNA whole-genome sequencing data Caravagna G, Sanguinetti G, Graham TA et al. BMC Bioinformatics (2020) 21(7)
Evolutionary dynamics of neoantigens in growing tumours Graham T, Eszter L, Marc W et al. Nature Genetics (2020) (1)
Subclonal reconstruction of tumors using machine learning and population genetics Graham T, Caravagna G, Heide T et al. Nature Genetics (2020) 52(1) 898-907
Colorectal cancer residual disease at maximal response to EGFR blockade displays a druggable Paneth cell–like phenotype Lupo B, Sassi F, Pinnelli M et al. Science Translational Medicine (2020) 12(7)
Navigating the path to distant metastasis Graham TA, Shibata D Nature genetics (2020) 52(7) 642-643
Genetic heterogeneity highlighted by differential FDG-PET response in diffuse large B-cell lymphoma Araf S, Korfi K, Bewicke-Copley F et al. Haematologica (2020) 105(7) E318-E321For additional publications, please click here
I originally trained as a mathematician (MSci Mathematics, Imperial College, 2002) before spending time in a cancer genetics lab as part of my interdisciplinary PhD (PhD Mathematical Biology, UCL, 2009). As a postdoc, I worked in Nick Wright's lab at the Cancer Research UK London Research Institute studying clonal expansions in human tissues (2008-2011), and Carlo Maley’s lab at UCSF looking at the pattern of clonal evolution in human cancers (2011-2013).
I joined BCI in September 2013.
Please contact me to discuss opportunities. Further information about my lab can be found here.