G
George D. Cresswell
Researcher at Institute of Cancer Research
Publications - 23
Citations - 632
George D. Cresswell is an academic researcher from Institute of Cancer Research. The author has contributed to research in topics: Cancer & Gene. The author has an hindex of 10, co-authored 20 publications receiving 325 citations. Previous affiliations of George D. Cresswell include Francis Crick Institute.
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Journal ArticleDOI
Pervasive chromosomal instability and karyotype order in tumour evolution.
Thomas B.K. Watkins,Emilia L. Lim,Emilia L. Lim,Marina Petkovic,Sergi Elizalde,Nicolai Juul Birkbak,Nicolai Juul Birkbak,Nicolai Juul Birkbak,Gareth A. Wilson,David Allan Moore,Eva Grönroos,Andrew Rowan,Sally M. Dewhurst,Jonas Demeulemeester,Jonas Demeulemeester,Stefan C. Dentro,Stefan C. Dentro,Stefan C. Dentro,Stuart Horswell,Lewis Au,Lewis Au,Kerstin Haase,Mickael Escudero,Rachel Rosenthal,Rachel Rosenthal,Maise Al Bakir,Hang Xu,Kevin Litchfield,Wei-Ting Lu,Thanos P. Mourikis,Michelle Dietzen,Lavinia Spain,Lavinia Spain,George D. Cresswell,Dhruva Biswas,Dhruva Biswas,Philippe Lamy,Iver Nordentoft,Katja Harbst,Francesc Castro-Giner,Francesc Castro-Giner,Lucy R. Yates,Lucy R. Yates,Franco Caramia,Fanny Jaulin,Cecile Vicier,Ian Tomlinson,Priscilla K. Brastianos,Priscilla K. Brastianos,Raymond J. Cho,Boris C. Bastian,Lars Dyrskjøt,Göran Jönsson,Peter Savas,Peter Savas,Sherene Loi,Sherene Loi,Peter J. Campbell,Fabrice Andre,Fabrice Andre,Nicholas M. Luscombe,Nicholas M. Luscombe,Nicholas M. Luscombe,Neeltje Steeghs,Vivianne C. G. Tjan-Heijnen,Zoltan Szallasi,Zoltan Szallasi,Samra Turajlic,Samra Turajlic,Mariam Jamal-Hanjani,Peter Van Loo,Samuel F. Bakhoum,Roland F. Schwarz,Roland F. Schwarz,Nicholas McGranahan,Charles Swanton,Charles Swanton +76 more
TL;DR: Multi-sample phasing and SCNA analysis of 1,421 samples from 394 tumours across 22 tumour types are used to show that continuous chromosomal instability results in pervasive SCNA heterogeneity.
Journal ArticleDOI
Exploiting evolutionary steering to induce collateral drug sensitivity in cancer
Ahmet Acar,Daniel Nichol,Javier Fernández-Mateos,George D. Cresswell,Iros Barozzi,Sung Pil Hong,Nicholas A. Trahearn,Inmaculada Spiteri,Mark Stubbs,Rosemary Burke,Adam Stewart,Giulio Caravagna,Benjamin Werner,Georgios Vlachogiannis,Carlo C. Maley,Luca Magnani,Nicola Valeri,Nicola Valeri,Udai Banerji,Andrea Sottoriva +19 more
TL;DR: Using a barcoding approach applied to large cell populations, evolutionary steering is explored in lung cancer cells treated with EGFR inhibitors, showing that it shifts the clonal composition of the tumour in the authors' favour, leading to collateral sensitivity and proliferative costs.
Journal ArticleDOI
Subclonal reconstruction of tumors by using machine learning and population genetics.
Giulio Caravagna,Timon Heide,Marc J Williams,Luis Zapata,Daniel Nichol,Ketevan Chkhaidze,William Cross,George D. Cresswell,Benjamin Werner,Ahmet Acar,Louis Chesler,Chris P. Barnes,Guido Sanguinetti,Guido Sanguinetti,Trevor A. Graham,Andrea Sottoriva +15 more
TL;DR: This work presents a novel approach for model-based tumor subclonal reconstruction (MOBSTER) that combines machine learning with theoretical population genetics and shows this method is more robust and accurate than current techniques in single sample, multi-region and longitudinal data.
Journal ArticleDOI
Intra-Tumor Genetic Heterogeneity in Wilms Tumor: Clonal Evolution and Clinical Implications
George D. Cresswell,John R. Apps,John R. Apps,Tasnim Chagtai,Borbala Mifsud,Christopher C. Bentley,Christopher C. Bentley,Mariana Maschietto,Sergey Popov,Mark E. Weeks,Øystein E. Olsen,Neil J. Sebire,Neil J. Sebire,Kathy Pritchard-Jones,Kathy Pritchard-Jones,Nicholas M. Luscombe,Nicholas M. Luscombe,Nicholas M. Luscombe,Richard D. Williams,William Mifsud,William Mifsud +20 more
TL;DR: This work multisampled 20 WT cases and assessed genome-wide allele-specific CNA and loss of heterozygosity, and inferred tumor evolution, and found remarkable diversity of ITGH and evolutionary trajectories in WT.
Journal ArticleDOI
Measuring single cell divisions in human tissues from multi-region sequencing data.
Benjamin Werner,Benjamin Werner,Jack Case,Jack Case,Marc J Williams,Marc J Williams,Ketevan Chkhaidze,Daniel Temko,Javier Fernández-Mateos,George D. Cresswell,Daniel Nichol,William Cross,Inmaculada Spiteri,Weini Huang,Weini Huang,Ian Tomlinson,Chris P. Barnes,Trevor A. Graham,Andrea Sottoriva +18 more
TL;DR: It is shown that multi-sample genomic data from a single time point of normal and cancer tissues contains information on single-cell divisions, which allows inferring the mutation rate and the cell survival/death rate per division.