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Dive into the research topics where David Nicol is active.

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Featured researches published by David Nicol.


Nature Genetics | 2014

Genomic architecture and evolution of clear cell renal cell carcinomas defined by multiregion sequencing.

Marco Gerlinger; Stuart Horswell; James Larkin; Andrew Rowan; Max Salm; Ignacio Varela; Rosalie Fisher; Nicholas McGranahan; Nicholas Matthews; Claudio R. Santos; Pierre Martinez; Benjamin Phillimore; Sharmin Begum; Adam Rabinowitz; Bradley Spencer-Dene; Sakshi Gulati; Paul A. Bates; Gordon Stamp; Lisa Pickering; Martin Gore; David Nicol; Steven Hazell; P. Andrew Futreal; Aengus Stewart; Charles Swanton

Clear cell renal carcinomas (ccRCCs) can display intratumor heterogeneity (ITH). We applied multiregion exome sequencing (M-seq) to resolve the genetic architecture and evolutionary histories of ten ccRCCs. Ultra-deep sequencing identified ITH in all cases. We found that 73–75% of identified ccRCC driver aberrations were subclonal, confounding estimates of driver mutation prevalence. ITH increased with the number of biopsies analyzed, without evidence of saturation in most tumors. Chromosome 3p loss and VHL aberrations were the only ubiquitous events. The proportion of C>T transitions at CpG sites increased during tumor progression. M-seq permits the temporal resolution of ccRCC evolution and refines mutational signatures occurring during tumor development.


Nature Genetics | 2015

Analysis of the genetic phylogeny of multifocal prostate cancer identifies multiple independent clonal expansions in neoplastic and morphologically normal prostate tissue

Colin S. Cooper; Rosalind Eeles; David C. Wedge; Peter Van Loo; Gunes Gundem; Ludmil B. Alexandrov; Barbara Kremeyer; Adam Butler; Andy G. Lynch; Niedzica Camacho; Charlie E. Massie; Jonathan Kay; Hayley Luxton; Sandra Edwards; Zsofia Kote-Jarai; Nening Dennis; Sue Merson; Daniel Leongamornlert; Jorge Zamora; Cathy Corbishley; Sarah Thomas; Serena Nik-Zainal; Manasa Ramakrishna; Sarah O'Meara; Lucy Matthews; Jeremy Clark; Rachel Hurst; Richard Mithen; Robert G. Bristow; Paul C. Boutros

Genome-wide DNA sequencing was used to decrypt the phylogeny of multiple samples from distinct areas of cancer and morphologically normal tissue taken from the prostates of three men. Mutations were present at high levels in morphologically normal tissue distant from the cancer, reflecting clonal expansions, and the underlying mutational processes at work in morphologically normal tissue were also at work in cancer. Our observations demonstrate the existence of ongoing abnormal mutational processes, consistent with field effects, underlying carcinogenesis. This mechanism gives rise to extensive branching evolution and cancer clone mixing, as exemplified by the coexistence of multiple cancer lineages harboring distinct ERG fusions within a single cancer nodule. Subsets of mutations were shared either by morphologically normal and malignant tissues or between different ERG lineages, indicating earlier or separate clonal cell expansions. Our observations inform on the origin of multifocal disease and have implications for prostate cancer therapy in individual cases.


The Journal of Pathology | 2013

Ultra-deep T cell receptor sequencing reveals the complexity and intratumour heterogeneity of T cell clones in renal cell carcinomas.

Marco Gerlinger; Sergio A. Quezada; Karl S. Peggs; Andrew Furness; Rosalie Fisher; Teresa Marafioti; Vishvesh Shende; Nicholas McGranahan; Andrew Rowan; Steven Hazell; David Hamm; Harlan Robins; Lisa Pickering; Martin Gore; David Nicol; James Larkin; Charles Swanton

The recognition of cancer cells by T cells can impact upon prognosis and be exploited for immunotherapeutic approaches. This recognition depends on the specific interaction between antigens displayed on the surface of cancer cells and the T cell receptor (TCR), which is generated by somatic rearrangements of TCR α‐ and β‐chains (TCRb). Our aim was to assess whether ultra‐deep sequencing of the rearranged TCRb in DNA extracted from unfractionated clear cell renal cell carcinoma (ccRCC) samples can provide insights into the clonality and heterogeneity of intratumoural T cells in ccRCCs, a tumour type that can display extensive genetic intratumour heterogeneity (ITH). For this purpose, DNA was extracted from two to four tumour regions from each of four primary ccRCCs and was analysed by ultra‐deep TCR sequencing. In parallel, tumour infiltration by CD4, CD8 and Foxp3 regulatory T cells was evaluated by immunohistochemistry and correlated with TCR‐sequencing data. A polyclonal T cell repertoire with 367–16 289 (median 2394) unique TCRb sequences was identified per tumour region. The frequencies of the 100 most abundant T cell clones/tumour were poorly correlated between most regions (Pearson correlation coefficient, –0.218 to 0.465). 3–93% of these T cell clones were not detectable across all regions. Thus, the clonal composition of T cell populations can be heterogeneous across different regions of the same ccRCC. T cell ITH was higher in tumours pretreated with an mTOR inhibitor, which could suggest that therapy can influence adaptive tumour immunity. These data show that ultra‐deep TCR‐sequencing technology can be applied directly to DNA extracted from unfractionated tumour samples, allowing novel insights into the clonality of T cell populations in cancers. These were polyclonal and displayed ITH in ccRCC. TCRb sequencing may shed light on mechanisms of cancer immunity and the efficacy of immunotherapy approaches. Copyright


Cell | 2018

Tracking Cancer Evolution Reveals Constrained Routes to Metastases: TRACERx Renal

Samra Turajlic; Hang Xu; Kevin Litchfield; Andrew Rowan; Tim Chambers; José I. López; David Nicol; Tim O’Brien; James Larkin; Stuart Horswell; Mark Stares; Lewis Au; Mariam Jamal-Hanjani; Ben Challacombe; Ashish Chandra; Steve Hazell; Claudia Eichler-Jonsson; Aspasia Soultati; Simon Chowdhury; Sarah Rudman; Joanna Lynch; Archana Fernando; Gordon Stamp; Emma Nye; Faiz Jabbar; Lavinia Spain; Sharanpreet Lall; Rosa Guarch; Mary Falzon; Ian Proctor

Summary Clear-cell renal cell carcinoma (ccRCC) exhibits a broad range of metastatic phenotypes that have not been systematically studied to date. Here, we analyzed 575 primary and 335 metastatic biopsies across 100 patients with metastatic ccRCC, including two cases sampledat post-mortem. Metastatic competence was afforded by chromosome complexity, and we identify 9p loss as a highly selected event driving metastasis and ccRCC-related mortality (p = 0.0014). Distinct patterns of metastatic dissemination were observed, including rapid progression to multiple tissue sites seeded by primary tumors of monoclonal structure. By contrast, we observed attenuated progression in cases characterized by high primary tumor heterogeneity, with metastatic competence acquired gradually and initial progression to solitary metastasis. Finally, we observed early divergence of primitive ancestral clones and protracted latency of up to two decades as a feature of pancreatic metastases.


BMJ | 2013

Testicular germ cell tumours

A. Horwich; David Nicol; Robert Huddart

#### Summary points Testicular germ cell cancer affects mainly young men, with 85% presenting between 15 and 44 years of age. The incidence of this disease is increasing—the lifetime risk for a man is now about one in 200 in the United Kingdom.1 Presentation is usually with a painless lump. If the tumour is diagnosed early, more than 95% of men are cured and treatment can be less intensive. Recent management changes include avoidance of radiotherapy, although cured patients still have increased risk of cardiac problems and second cancers. Some patients also experience chronic side effects of chemotherapy, such as neuropathy, hearing loss, renal impairment, and borderline hypogonadism. This article will review how testicular cancer presents, how it is diagnosed, and what treatments are available, including recent management changes to minimise toxicity. #### Methods We searched our personal archives of references relating to the epidemiology, diagnosis, and management of testicular germ cell cancers as well as the Cochrane Database for reviews or meta-analyses. We also reviewed guideline publications from the European Society of Medical Oncology and the European Germ Cell Cancer Collaborative Group. This review covers germ cell cancers, which make up almost all testicular cancers seen in young men. Germ cell tumours are classified as pure seminomas or non-seminomas, which include variants such as embryonal carcinoma, teratocarcinoma, yolk sac tumour, choriocarcinoma, and teratoma. Tumours may contain one or more of these elements; those with both …


Cell | 2018

Deterministic Evolutionary Trajectories Influence Primary Tumor Growth: TRACERx Renal

Samra Turajlic; Hang Xu; Kevin Litchfield; Andrew Rowan; Stuart Horswell; Tim Chambers; Tim O’Brien; José I. López; Thomas B.K. Watkins; David Nicol; Mark Stares; Ben Challacombe; Steve Hazell; Ashish Chandra; Thomas J. Mitchell; Lewis Au; Claudia Eichler-Jonsson; Faiz Jabbar; Aspasia Soultati; Simon Chowdhury; Sarah Rudman; Joanna Lynch; Archana Fernando; Gordon Stamp; Emma Nye; Aengus Stewart; Wei Xing; Jonathan C. Smith; Mickael Escudero; Adam Huffman

Summary The evolutionary features of clear-cell renal cell carcinoma (ccRCC) have not been systematically studied to date. We analyzed 1,206 primary tumor regions from 101 patients recruited into the multi-center prospective study, TRACERx Renal. We observe up to 30 driver events per tumor and show that subclonal diversification is associated with known prognostic parameters. By resolving the patterns of driver event ordering, co-occurrence, and mutual exclusivity at clone level, we show the deterministic nature of clonal evolution. ccRCC can be grouped into seven evolutionary subtypes, ranging from tumors characterized by early fixation of multiple mutational and copy number drivers and rapid metastases to highly branched tumors with >10 subclonal drivers and extensive parallel evolution associated with attenuated progression. We identify genetic diversity and chromosomal complexity as determinants of patient outcome. Our insights reconcile the variable clinical behavior of ccRCC and suggest evolutionary potential as a biomarker for both intervention and surveillance.


Cell | 2018

Timing the Landmark Events in the Evolution of Clear Cell Renal Cell Cancer: TRACERx Renal

Thomas J. Mitchell; Samra Turajlic; Andrew Rowan; David Nicol; James H.R. Farmery; Tim O’Brien; Inigo Martincorena; Patrick Tarpey; Nicos Angelopoulos; Lucy R. Yates; Adam Butler; Keiran Raine; Grant D. Stewart; Ben Challacombe; Archana Fernando; José I. López; Steve Hazell; Ashish Chandra; Simon Chowdhury; Sarah M. Rudman; Aspasia Soultati; Gordon Stamp; Nicos Fotiadis; Lisa Pickering; Lewis Au; Lavinia Spain; Joanna Lynch; Mark Stares; Jon Teague; Francesco Maura

Summary Clear cell renal cell carcinoma (ccRCC) is characterized by near-universal loss of the short arm of chromosome 3, deleting several tumor suppressor genes. We analyzed whole genomes from 95 biopsies across 33 patients with clear cell renal cell carcinoma. We find hotspots of point mutations in the 5′ UTR of TERT, targeting a MYC-MAX-MAD1 repressor associated with telomere lengthening. The most common structural abnormality generates simultaneous 3p loss and 5q gain (36% patients), typically through chromothripsis. This event occurs in childhood or adolescence, generally as the initiating event that precedes emergence of the tumor’s most recent common ancestor by years to decades. Similar genomic changes drive inherited ccRCC. Modeling differences in age incidence between inherited and sporadic cancers suggests that the number of cells with 3p loss capable of initiating sporadic tumors is no more than a few hundred. Early development of ccRCC follows well-defined evolutionary trajectories, offering opportunity for early intervention.


Scientific Reports | 2017

Recognizing the Continuous Nature of Expression Heterogeneity and Clinical Outcomes in Clear Cell Renal Cell Carcinoma

Xiaona Wei; Yukti Choudhury; Weng Khong Lim; John Anema; Richard J. Kahnoski; Brian R. Lane; John Ludlow; Masayuki Takahashi; Hiro-omi Kanayama; Arie S. Belldegrun; Hyung L. Kim; Craig G. Rogers; David Nicol; Bin Tean Teh; Min-Han Tan

Clear cell renal cell carcinoma (ccRCC) has been previously classified into putative discrete prognostic subtypes by gene expression profiling. To investigate the robustness of these proposed subtype classifications, we evaluated 12 public datasets, together with a new dataset of 265 ccRCC gene expression profiles. Consensus clustering showed unstable subtype and principal component analysis (PCA) showed a continuous spectrum both within and between datasets. Considering the lack of discrete delineation and continuous spectrum observed, we developed a continuous quantitative prognosis score (Continuous Linear Enhanced Assessment of RCC, or CLEAR score). Prognostic performance was evaluated in independent cohorts from The Cancer Genome Atlas (TCGA) (n = 414) and EMBL-EBI (n = 53), CLEAR score demonstrated both superior prognostic estimates and inverse correlation with anti-angiogenic tyrosine-kinase inhibition in comparison to previously proposed discrete subtyping classifications. Inverse correlation with high-dose interleukin-2 outcomes was also observed for the CLEAR score. Multiple somatic mutations (VHL, PBRM1, SETD2, KDM5C, TP53, BAP1, PTEN, MTOR) were associated with the CLEAR score. Application of the CLEAR score to independent expression profiling of intratumoral ccRCC regions demonstrated that average intertumoral heterogeneity exceeded intratumoral expression heterogeneity. Wider investigation of cancer biology using continuous approaches may yield insights into tumor heterogeneity; single cell analysis may provide a key foundation for this approach.


PLOS Genetics | 2017

Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data.

Niedzica Camacho; Peter Van Loo; S Edwards; Jonathan Kay; Lucy Matthews; Kerstin Haase; Jeremy Clark; Nening Dennis; Sarah Thomas; Barbara Kremeyer; Jorge Zamora; Adam Butler; Gunes Gundem; Sue Merson; Hayley Luxton; Steve Hawkins; Mohammed J. R. Ghori; Luke Marsden; Adam Lambert; Katalin Karaszi; Gill Pelvender; Charlie E. Massie; Zsofia Kote-Jarai; Keiran Raine; David Jones; William J. Howat; Steven Hazell; Naomi Livni; Cyril Fisher; Christopher Ogden

A variety of models have been proposed to explain regions of recurrent somatic copy number alteration (SCNA) in human cancer. Our study employs Whole Genome DNA Sequence (WGS) data from tumor samples (n = 103) to comprehensively assess the role of the Knudson two hit genetic model in SCNA generation in prostate cancer. 64 recurrent regions of loss and gain were detected, of which 28 were novel, including regions of loss with more than 15% frequency at Chr4p15.2-p15.1 (15.53%), Chr6q27 (16.50%) and Chr18q12.3 (17.48%). Comprehensive mutation screens of genes, lincRNA encoding sequences, control regions and conserved domains within SCNAs demonstrated that a two-hit genetic model was supported in only a minor proportion of recurrent SCNA losses examined (15/40). We found that recurrent breakpoints and regions of inversion often occur within Knudson model SCNAs, leading to the identification of ZNF292 as a target gene for the deletion at 6q14.3-q15 and NKX3.1 as a two-hit target at 8p21.3-p21.2. The importance of alterations of lincRNA sequences was illustrated by the identification of a novel mutational hotspot at the KCCAT42, FENDRR, CAT1886 and STCAT2 loci at the 16q23.1-q24.3 loss. Our data confirm that the burden of SCNAs is predictive of biochemical recurrence, define nine individual regions that are associated with relapse, and highlight the possible importance of ion channel and G-protein coupled-receptor (GPCR) pathways in cancer development. We concluded that a two-hit genetic model accounts for about one third of SCNA indicating that mechanisms, such haploinsufficiency and epigenetic inactivation, account for the remaining SCNA losses.


Journal of Clinical Oncology | 2015

Patients Who Receive Androgen Deprivation Therapy Risk Adverse Cognitive Changes

Robert A. Gardiner; John Yaxley; Kenneth I. Pakenham; Heather J. Green; P. Mactaggart; Roger Watson; C. E. Swanson; David Nicol

tion for adverse cognitive effects by a proportion of patients who received androgen-deprivation therapy (ADT). They compared 58 patients with nonlocalized or asymptomatic metastatic prostate cancer (PCa) who were about to commence ADT and observed the participants for 12 months; the findings were compared with those from a cohort of 84 men treated with prostatectomy alone and an additional 88 men who did not have a diagnosis of PCa. They found that participants in the ADT group were more likely to demonstrate impaired cognitive performance than contemporaries in the control/ reference groups over time. Baseline age, cognitive reserve, depressive symptoms, fatigue, and hot flush interference did not moderate the impact of ADT on impaired cognitive performance. In exploratory genetic analyses, GNB3 single nucleotide polymorphism rs1047776 wasassociatedwithincreasedratesofimpairedperformanceovertime in the ADT group. Whether or not ADT induces adverse cognitive changes in a proportionofpatientshasbeendisputedformanyyearsonthebasisof findings from longitudinal studies, including a number that received industry funding. To resolve the question, we undertook a randomized, controlled trial of 82 men with nonlocalized PCa who were allocated to leuprorelin (Lucrin), goserelin (Zoladex), cyproterone acetate(Androcur),ornotreatmentandwhowerereassessedat6and 12monthsafterbaseline;65participantscompleted6months,and62 of these continued for all 12 months of follow-up. 2,3 In addition to a nontreatment PCa control group, a noncancer community reference group was evaluated. Compared with baseline assessments, men who received ADT performedworseontwoof12testsofattentionandmemory;24of50 patients who were randomly assigned to active treatment and who were assessed 6 months later had a clinically significant decline in one ormorecognitivetests,butnotonepatientrandomlyassignedtoclose monitoringorfromthecommunityreferencegroupshowedadecline

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James Larkin

The Royal Marsden NHS Foundation Trust

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Adam Butler

Wellcome Trust Sanger Institute

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Ben Challacombe

Guy's and St Thomas' NHS Foundation Trust

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Andrew Rowan

Francis Crick Institute

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Aspasia Soultati

Guy's and St Thomas' NHS Foundation Trust

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Erik Mayer

Imperial College London

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