Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
7 papers
Recent·Most cited
M. A. Fabre, J. G. de Almeida, E. Fiorillo, E. Mitchell, A. Damaskou, J. Rak, V. Orru, M. Marongiu, M. Vijayabaskar, J. Baxter, C. Hardy, F. Abascal, M. S. Chapman, N. Williams, J. Nangalia, , G. S. Vassiliou
This study tracks clonal haematopoiesis clones over time, finding that mutation type influences growth rates and malignant risk.
bioRxiv · Aug 12, 2021Cancer Biology
S. C. Dentro, I. Leshchiner, K. Haase, M. Tarabichi, J. Wintersinger, A. G. Deshwar, K. Yu, Y. Rubanova, G. Macintyre, J. Demeulemeester, I. Vazquez-Garcia, K. Kleinheinz, D. G. Livitz, S. Malikic, N. Donmez, , Q. D. Morris
This study characterizes intra-tumor heterogeneity across 2,658 human cancer genomes, identifying subclonal mutations and evolutionary patterns across 38 cancer types.
Cell · Apr 1, 2021Peer-reviewedCancer Biology
L. Moore, D. Leongamornlert, T. H. Coorens, M. A. Sanders, P. Ellis, K. Dawson, F. Maura, J. Nangalia, P. S. Tarpey, S. F. Brunner, H. Lee-Six, R. Rahbari, S. Moody, Y. Hooks, K. Mahbubani, , M. R. Stratton
This study characterizes the mutational landscape of normal human endometrial epithelium, revealing age-related mutation burdens and driver mutations in cancer genes.
bioRxiv · Dec 24, 2018Cancer Biology
H. Lee-Six, P. Ellis, R. J. Osborne, M. A. Sanders, L. Moore, N. Georgakopoulos, F. Torrente, A. Noorani, M. Goddard, P. Robinson, T. H. H. Coorens, L. O'Neill, C. Alder, J. Wang, R. C. Fitzgerald, , M. R. Stratton
This study whole genome sequences normal colorectal crypts to reveal mutational processes and driver mutations in morphologically normal tissue, showing neoplastic changes are pervasive.
bioRxiv · Sep 13, 2018Cancer Biology
F. Maura, N. Bolli, N. Angelopoulos, K. J. Dawson, D. Leongamornlert, I. Martincorena, T. J. Mitchell, A. Fullam, S. Gonzalez, R. Szalat, B. Rodriguez-Martin, M. K. Samur, D. Glodzik, M. Roncador, M. Fulciniti, , P. J. Campbell
This study reconstructs the genomic evolution of multiple myeloma by analyzing 67 genomes from 30 patients and public datasets, identifying 7 subgroups defined by distinct driver mutations and chronological patterns of genomic events.
bioRxiv · Aug 12, 2018Cancer Biology
M. Tarabichi, I. Martincorena, M. Gerstung, A. M. Leroi, F. Markowetz, P. T. Spellman, Q. D. Morris, O. C. Lingjaerde, D. C. Wedge, P. Van Loo, PCAWG Evolution and Heterogeneity Working Group
The paper explores tumor evolution through subclonal analysis and discusses the role of driver and passenger mutations in cancer progression.
bioRxiv · Jul 23, 2018Cancer Biology
J. Iranzo, I. Martincorena, E. V. Koonin
The paper constructs a cancer-mutation network to analyze driver mutation specificity and estimates the number of drivers required for different cancers.
bioRxiv · Dec 19, 2017Cancer Biology