Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Adam Butler is active.

Publication


Featured researches published by Adam Butler.


The New England Journal of Medicine | 2012

Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

Marco Gerlinger; Andrew Rowan; Stuart Horswell; James Larkin; David Endesfelder; Eva Grönroos; Pierre Martinez; Nicholas Matthews; Aengus Stewart; Patrick Tarpey; Ignacio Varela; Benjamin Phillimore; Sharmin Begum; Neil Q. McDonald; Adam Butler; David Jones; Keiran Raine; Calli Latimer; Claudio R. Santos; Mahrokh Nohadani; Aron Charles Eklund; Bradley Spencer-Dene; Graham Clark; Lisa Pickering; Gordon Stamp; Martin Gore; Zoltan Szallasi; Julian Downward; P. Andrew Futreal; Charles Swanton

BACKGROUND Intratumor heterogeneity may foster tumor evolution and adaptation and hinder personalized-medicine strategies that depend on results from single tumor-biopsy samples. METHODS To examine intratumor heterogeneity, we performed exome sequencing, chromosome aberration analysis, and ploidy profiling on multiple spatially separated samples obtained from primary renal carcinomas and associated metastatic sites. We characterized the consequences of intratumor heterogeneity using immunohistochemical analysis, mutation functional analysis, and profiling of messenger RNA expression. RESULTS Phylogenetic reconstruction revealed branched evolutionary tumor growth, with 63 to 69% of all somatic mutations not detectable across every tumor region. Intratumor heterogeneity was observed for a mutation within an autoinhibitory domain of the mammalian target of rapamycin (mTOR) kinase, correlating with S6 and 4EBP phosphorylation in vivo and constitutive activation of mTOR kinase activity in vitro. Mutational intratumor heterogeneity was seen for multiple tumor-suppressor genes converging on loss of function; SETD2, PTEN, and KDM5C underwent multiple distinct and spatially separated inactivating mutations within a single tumor, suggesting convergent phenotypic evolution. Gene-expression signatures of good and poor prognosis were detected in different regions of the same tumor. Allelic composition and ploidy profiling analysis revealed extensive intratumor heterogeneity, with 26 of 30 tumor samples from four tumors harboring divergent allelic-imbalance profiles and with ploidy heterogeneity in two of four tumors. CONCLUSIONS Intratumor heterogeneity can lead to underestimation of the tumor genomics landscape portrayed from single tumor-biopsy samples and may present major challenges to personalized-medicine and biomarker development. Intratumor heterogeneity, associated with heterogeneous protein function, may foster tumor adaptation and therapeutic failure through Darwinian selection. (Funded by the Medical Research Council and others.).


Nature | 2013

Signatures of mutational processes in human cancer

Ludmil B. Alexandrov; Serena Nik-Zainal; David C. Wedge; Samuel Aparicio; Sam Behjati; Andrew V. Biankin; Graham R. Bignell; Niccolo Bolli; Åke Borg; Anne Lise Børresen-Dale; Sandrine Boyault; Birgit Burkhardt; Adam Butler; Carlos Caldas; Helen Davies; Christine Desmedt; Roland Eils; Jórunn Erla Eyfjörd; John A. Foekens; Mel Greaves; Fumie Hosoda; Barbara Hutter; Tomislav Ilicic; Sandrine Imbeaud; Marcin Imielinsk; Natalie Jäger; David T. W. Jones; David Jones; Stian Knappskog; Marcel Kool

All cancers are caused by somatic mutations; however, understanding of the biological processes generating these mutations is limited. The catalogue of somatic mutations from a cancer genome bears the signatures of the mutational processes that have been operative. Here we analysed 4,938,362 mutations from 7,042 cancers and extracted more than 20 distinct mutational signatures. Some are present in many cancer types, notably a signature attributed to the APOBEC family of cytidine deaminases, whereas others are confined to a single cancer class. Certain signatures are associated with age of the patient at cancer diagnosis, known mutagenic exposures or defects in DNA maintenance, but many are of cryptic origin. In addition to these genome-wide mutational signatures, hypermutation localized to small genomic regions, ‘kataegis’, is found in many cancer types. The results reveal the diversity of mutational processes underlying the development of cancer, with potential implications for understanding of cancer aetiology, prevention and therapy.


Nature | 2007

Patterns of somatic mutation in human cancer genomes

Christopher Greenman; Philip Stephens; Raffaella Smith; Gillian L. Dalgliesh; Chris Hunter; Graham R. Bignell; Helen Davies; Jon Teague; Adam Butler; Claire Stevens; Sarah Edkins; Sarah O’Meara; Imre Vastrik; Esther Schmidt; Tim Avis; Syd Barthorpe; Gurpreet Bhamra; Gemma Buck; Bhudipa Choudhury; Jody Clements; Jennifer Cole; Ed Dicks; Simon A. Forbes; Kris Gray; Kelly Halliday; Rachel Harrison; Katy Hills; Jon Hinton; Andy Jenkinson; David Jones

Cancers arise owing to mutations in a subset of genes that confer growth advantage. The availability of the human genome sequence led us to propose that systematic resequencing of cancer genomes for mutations would lead to the discovery of many additional cancer genes. Here we report more than 1,000 somatic mutations found in 274 megabases (Mb) of DNA corresponding to the coding exons of 518 protein kinase genes in 210 diverse human cancers. There was substantial variation in the number and pattern of mutations in individual cancers reflecting different exposures, DNA repair defects and cellular origins. Most somatic mutations are likely to be ‘passengers’ that do not contribute to oncogenesis. However, there was evidence for ‘driver’ mutations contributing to the development of the cancers studied in approximately 120 genes. Systematic sequencing of cancer genomes therefore reveals the evolutionary diversity of cancers and implicates a larger repertoire of cancer genes than previously anticipated.


Cell | 2011

Massive genomic rearrangement acquired in a single catastrophic event during cancer development

Philip Stephens; Christopher Greenman; Beiyuan Fu; Fengtang Yang; Graham R. Bignell; Laura Mudie; Erin Pleasance; King Wai Lau; David Beare; Lucy Stebbings; Stuart McLaren; Meng-Lay Lin; David J. McBride; Ignacio Varela; Serena Nik-Zainal; Catherine Leroy; Mingming Jia; Andrew Menzies; Adam Butler; Jon Teague; Michael A. Quail; John Burton; Harold Swerdlow; Nigel P. Carter; Laura A. Morsberger; Christine A. Iacobuzio-Donahue; George A. Follows; Anthony R. Green; Adrienne M. Flanagan; Michael R. Stratton

Summary Cancer is driven by somatically acquired point mutations and chromosomal rearrangements, conventionally thought to accumulate gradually over time. Using next-generation sequencing, we characterize a phenomenon, which we term chromothripsis, whereby tens to hundreds of genomic rearrangements occur in a one-off cellular crisis. Rearrangements involving one or a few chromosomes crisscross back and forth across involved regions, generating frequent oscillations between two copy number states. These genomic hallmarks are highly improbable if rearrangements accumulate over time and instead imply that nearly all occur during a single cellular catastrophe. The stamp of chromothripsis can be seen in at least 2%–3% of all cancers, across many subtypes, and is present in ∼25% of bone cancers. We find that one, or indeed more than one, cancer-causing lesion can emerge out of the genomic crisis. This phenomenon has important implications for the origins of genomic remodeling and temporal emergence of cancer. PaperClip


Nature | 2010

A comprehensive catalogue of somatic mutations from a human cancer genome

Erin Pleasance; R. Keira Cheetham; Philip Stephens; David J. McBride; Sean Humphray; Christopher Greenman; Ignacio Varela; Meng-Lay Lin; Gonzalo R. Ordóñez; Graham R. Bignell; Kai Ye; Julie A Alipaz; Markus J. Bauer; David Beare; Adam Butler; Richard J. Carter; Lina Chen; Anthony J. Cox; Sarah Edkins; Paula Kokko-Gonzales; Niall Anthony Gormley; Russell Grocock; Christian D. Haudenschild; Matthew M. Hims; Terena James; Mingming Jia; Zoya Kingsbury; Catherine Leroy; John Marshall; Andrew Menzies

All cancers carry somatic mutations. A subset of these somatic alterations, termed driver mutations, confer selective growth advantage and are implicated in cancer development, whereas the remainder are passengers. Here we have sequenced the genomes of a malignant melanoma and a lymphoblastoid cell line from the same person, providing the first comprehensive catalogue of somatic mutations from an individual cancer. The catalogue provides remarkable insights into the forces that have shaped this cancer genome. The dominant mutational signature reflects DNA damage due to ultraviolet light exposure, a known risk factor for malignant melanoma, whereas the uneven distribution of mutations across the genome, with a lower prevalence in gene footprints, indicates that DNA repair has been preferentially deployed towards transcribed regions. The results illustrate the power of a cancer genome sequence to reveal traces of the DNA damage, repair, mutation and selection processes that were operative years before the cancer became symptomatic.


Nature | 2012

Systematic identification of genomic markers of drug sensitivity in cancer cells

Mathew J. Garnett; Elena J. Edelman; Sonja J. Heidorn; Christopher Greenman; Anahita Dastur; King Wai Lau; Patricia Greninger; I. Richard Thompson; Xi Luo; Jorge Soares; Qingsong Liu; Francesco Iorio; Didier Surdez; L Leon Chen; Randy J. Milano; Graham R. Bignell; Ah Ting Tam; Helen Davies; Jesse A. Stevenson; Syd Barthorpe; Stephen R. Lutz; Fiona Kogera; Karl Lawrence; Anne McLaren-Douglas; Xeni Mitropoulos; Tatiana Mironenko; Helen Thi; Laura Richardson; Wenjun Zhou; Frances Jewitt

Clinical responses to anticancer therapies are often restricted to a subset of patients. In some cases, mutated cancer genes are potent biomarkers for responses to targeted agents. Here, to uncover new biomarkers of sensitivity and resistance to cancer therapeutics, we screened a panel of several hundred cancer cell lines—which represent much of the tissue-type and genetic diversity of human cancers—with 130 drugs under clinical and preclinical investigation. In aggregate, we found that mutated cancer genes were associated with cellular response to most currently available cancer drugs. Classic oncogene addiction paradigms were modified by additional tissue-specific or expression biomarkers, and some frequently mutated genes were associated with sensitivity to a broad range of therapeutic agents. Unexpected relationships were revealed, including the marked sensitivity of Ewing’s sarcoma cells harbouring the EWS (also known as EWSR1)-FLI1 gene translocation to poly(ADP-ribose) polymerase (PARP) inhibitors. By linking drug activity to the functional complexity of cancer genomes, systematic pharmacogenomic profiling in cancer cell lines provides a powerful biomarker discovery platform to guide rational cancer therapeutic strategies.


Nature | 2010

The patterns and dynamics of genomic instability in metastatic pancreatic cancer

Peter J. Campbell; Shinichi Yachida; Laura Mudie; Philip Stephens; Erin Pleasance; Lucy Stebbings; Laura A. Morsberger; Calli Latimer; Stuart McLaren; Meng-Lay Lin; David J. McBride; Ignacio Varela; Serena Nik-Zainal; Catherine Leroy; Mingming Jia; Andrew Menzies; Adam Butler; Jon Teague; Constance A. Griffin; John Burton; Harold Swerdlow; Michael A. Quail; Michael R. Stratton; Christine A. Iacobuzio-Donahue; P. Andrew Futreal

Pancreatic cancer is an aggressive malignancy with a five-year mortality of 97–98%, usually due to widespread metastatic disease. Previous studies indicate that this disease has a complex genomic landscape, with frequent copy number changes and point mutations, but genomic rearrangements have not been characterized in detail. Despite the clinical importance of metastasis, there remain fundamental questions about the clonal structures of metastatic tumours, including phylogenetic relationships among metastases, the scale of ongoing parallel evolution in metastatic and primary sites, and how the tumour disseminates. Here we harness advances in DNA sequencing to annotate genomic rearrangements in 13 patients with pancreatic cancer and explore clonal relationships among metastases. We find that pancreatic cancer acquires rearrangements indicative of telomere dysfunction and abnormal cell-cycle control, namely dysregulated G1-to-S-phase transition with intact G2–M checkpoint. These initiate amplification of cancer genes and occur predominantly in early cancer development rather than the later stages of the disease. Genomic instability frequently persists after cancer dissemination, resulting in ongoing, parallel and even convergent evolution among different metastases. We find evidence that there is genetic heterogeneity among metastasis-initiating cells, that seeding metastasis may require driver mutations beyond those required for primary tumours, and that phylogenetic trees across metastases show organ-specific branches. These data attest to the richness of genetic variation in cancer, brought about by the tandem forces of genomic instability and evolutionary selection.


Cell | 2012

Mutational processes molding the genomes of 21 breast cancers.

Serena Nik-Zainal; Ludmil B. Alexandrov; David C. Wedge; Peter Van Loo; Christopher Greenman; Keiran Raine; David Jones; Jonathan Hinton; John D Marshall; Lucy Stebbings; Andrew Menzies; Sancha Martin; Kenric Leung; Lina Chen; Catherine Leroy; Manasa Ramakrishna; Richard Rance; King Wai Lau; Laura Mudie; Ignacio Varela; David J. McBride; Graham R. Bignell; Susanna L. Cooke; Adam Shlien; John Gamble; Ian Whitmore; Mark Maddison; Patrick Tarpey; Helen Davies; Elli Papaemmanuil

Summary All cancers carry somatic mutations. The patterns of mutation in cancer genomes reflect the DNA damage and repair processes to which cancer cells and their precursors have been exposed. To explore these mechanisms further, we generated catalogs of somatic mutation from 21 breast cancers and applied mathematical methods to extract mutational signatures of the underlying processes. Multiple distinct single- and double-nucleotide substitution signatures were discernible. Cancers with BRCA1 or BRCA2 mutations exhibited a characteristic combination of substitution mutation signatures and a distinctive profile of deletions. Complex relationships between somatic mutation prevalence and transcription were detected. A remarkable phenomenon of localized hypermutation, termed “kataegis,” was observed. Regions of kataegis differed between cancers but usually colocalized with somatic rearrangements. Base substitutions in these regions were almost exclusively of cytosine at TpC dinucleotides. The mechanisms underlying most of these mutational signatures are unknown. However, a role for the APOBEC family of cytidine deaminases is proposed. PaperClip


Nature | 2010

A small-cell lung cancer genome with complex signatures of tobacco exposure

Erin Pleasance; Philip Stephens; Sarah O’Meara; David J. McBride; Alison Meynert; David Jones; Meng-Lay Lin; David Beare; King Wai Lau; Christopher Greenman; Ignacio Varela; Serena Nik-Zainal; Helen Davies; Gonzalo R. Ordóñez; Laura Mudie; Calli Latimer; Sarah Edkins; Lucy Stebbings; Lina Chen; Mingming Jia; Catherine Leroy; John Marshall; Andrew Menzies; Adam Butler; Jon Teague; Jonathon Mangion; Yongming A. Sun; Stephen F. McLaughlin; Heather E. Peckham; Eric F. Tsung

Cancer is driven by mutation. Worldwide, tobacco smoking is the principal lifestyle exposure that causes cancer, exerting carcinogenicity through >60 chemicals that bind and mutate DNA. Using massively parallel sequencing technology, we sequenced a small-cell lung cancer cell line, NCI-H209, to explore the mutational burden associated with tobacco smoking. A total of 22,910 somatic substitutions were identified, including 134 in coding exons. Multiple mutation signatures testify to the cocktail of carcinogens in tobacco smoke and their proclivities for particular bases and surrounding sequence context. Effects of transcription-coupled repair and a second, more general, expression-linked repair pathway were evident. We identified a tandem duplication that duplicates exons 3–8 of CHD7 in frame, and another two lines carrying PVT1–CHD7 fusion genes, indicating that CHD7 may be recurrently rearranged in this disease. These findings illustrate the potential for next-generation sequencing to provide unprecedented insights into mutational processes, cellular repair pathways and gene networks associated with cancer.SUMMARY Cancer is driven by mutation. Worldwide, tobacco smoking is the major lifestyle exposure that causes cancer, exerting carcinogenicity through >60 chemicals that bind and mutate DNA. Using massively parallel sequencing technology, we sequenced a small cell lung cancer cell line, NCI-H209, to explore the mutational burden associated with tobacco smoking. 22,910 somatic substitutions were identified, including 132 in coding exons. Multiple mutation signatures testify to the cocktail of carcinogens in tobacco smoke and their proclivities for particular bases and surrounding sequence context. Effects of transcription-coupled repair and a second, more general expression-linked repair pathway were evident. We identified a tandem duplication that duplicates exons 3-8 of CHD7 in-frame, and another two lines carrying PVT1-CHD7 fusion genes, suggesting that CHD7 may be recurrently rearranged in this disease. These findings illustrate the potential for next-generation sequencing to provide unprecedented insights into mutational processes, cellular repair pathways and gene networks associated with cancer.


Nature | 2011

Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma

Ignacio Varela; Patrick Tarpey; Keiran Raine; Dachuan Huang; Choon Kiat Ong; Philip Stephens; Helen Davies; David Jones; Meng-Lay Lin; Jon Teague; Graham R. Bignell; Adam Butler; Juok Cho; Gillian L. Dalgliesh; Danushka Galappaththige; Christopher Greenman; Claire Hardy; Mingming Jia; Calli Latimer; King Wai Lau; John Marshall; Stuart McLaren; Andrew Menzies; Laura Mudie; Lucy Stebbings; David A. Largaespada; Lodewyk F. A. Wessels; Stéphane Richard; Richard J. Kahnoski; John Anema

The genetics of renal cancer is dominated by inactivation of the VHL tumour suppressor gene in clear cell carcinoma (ccRCC), the commonest histological subtype. A recent large-scale screen of ∼3,500 genes by PCR-based exon re-sequencing identified several new cancer genes in ccRCC including UTX (also known as KDM6A), JARID1C (also known as KDM5C) and SETD2 (ref. 2). These genes encode enzymes that demethylate (UTX, JARID1C) or methylate (SETD2) key lysine residues of histone H3. Modification of the methylation state of these lysine residues of histone H3 regulates chromatin structure and is implicated in transcriptional control. However, together these mutations are present in fewer than 15% of ccRCC, suggesting the existence of additional, currently unidentified cancer genes. Here, we have sequenced the protein coding exome in a series of primary ccRCC and report the identification of the SWI/SNF chromatin remodelling complex gene PBRM1 (ref. 4) as a second major ccRCC cancer gene, with truncating mutations in 41% (92/227) of cases. These data further elucidate the somatic genetic architecture of ccRCC and emphasize the marked contribution of aberrant chromatin biology.

Collaboration


Dive into the Adam Butler's collaboration.

Top Co-Authors

Avatar

David Jones

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Jon Teague

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Keiran Raine

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Helen Davies

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Patrick Tarpey

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Serena Nik-Zainal

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Andrew Menzies

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar

Graham R. Bignell

Wellcome Trust Sanger Institute

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge