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Dive into the research topics where David A. Cairns is active.

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Featured researches published by David A. Cairns.


Journal of Clinical Oncology | 2015

Mutational Spectrum, Copy Number Changes, and Outcome: Results of a Sequencing Study of Patients With Newly Diagnosed Myeloma

Brian A. Walker; Eileen Boyle; Christopher P. Wardell; Alex Murison; Dil Begum; Nasrin M. Dahir; Paula Proszek; David C. Johnson; Martin Kaiser; Lorenzo Melchor; Lauren I. Aronson; Matthew Scales; Charlotte Pawlyn; Fabio Mirabella; John R Jones; Annamaria Brioli; Aneta Mikulášová; David A. Cairns; Walter Gregory; Ana Quartilho; Mark T. Drayson; Nigel H. Russell; Gordon Cook; Graham Jackson; Xavier Leleu; Faith E. Davies; Gareth J. Morgan

PURPOSE At the molecular level, myeloma is characterized by copy number abnormalities and recurrent translocations into the immunoglobulin heavy chain locus. Novel methods, such as massively parallel sequencing, have begun to describe the pattern of tumor-acquired mutations, but their clinical relevance has yet to be established. METHODS We performed whole-exome sequencing for 463 patients who presented with myeloma and were enrolled onto the National Cancer Research Institute Myeloma XI trial, for whom complete molecular cytogenetic and clinical outcome data were available. RESULTS We identified 15 significantly mutated genes: IRF4, KRAS, NRAS, MAX, HIST1H1E, RB1, EGR1, TP53, TRAF3, FAM46C, DIS3, BRAF, LTB, CYLD, and FGFR3. The mutational spectrum is dominated by mutations in the RAS (43%) and nuclear factor-κB (17%) pathways, but although they are prognostically neutral, they could be targeted therapeutically. Mutations in CCND1 and DNA repair pathway alterations (TP53, ATM, ATR, and ZNFHX4 mutations) are associated with a negative impact on survival. In contrast, those in IRF4 and EGR1 are associated with a favorable overall survival. We combined these novel mutation risk factors with the recurrent molecular adverse features and international staging system to generate an international staging system mutation score that can identify a high-risk population of patients who experience relapse and die prematurely. CONCLUSION We have refined our understanding of genetic events in myeloma and identified clinically relevant mutations that may be used to better stratify patients at presentation.


Clinical Cancer Research | 2009

Analysis of VHL gene alterations and their relationship to clinical parameters in sporadic conventional renal cell carcinoma

Alison Young; Rachel A. Craven; Dena Cohen; Claire Taylor; Christopher M. Booth; Patricia Harnden; David A. Cairns; Dewi Astuti; Walter Gregory; Eamonn R. Maher; Margaret A. Knowles; Adrian Joyce; Peter Selby; Rosamonde E. Banks

Purpose: This study aimed to carry out a comprehensive analysis of genetic and epigenetic changes of the von Hippel Lindau (VHL) gene in patients with conventional (clear cell) renal cell carcinoma and to determine their significance relative to clinicopathologic characteristics and outcome. Experimental Design: The VHL status in 86 conventional renal cell carcinomas was determined by mutation detection, loss of heterozygosity (LOH), and promoter methylation analysis, extending our original cohort to a total of 177 patients. Data were analyzed to investigate potential relationships between VHL changes, clinical parameters, and outcome. Results: LOH was found in 89.2%, mutation in 74.6%, and methylation in 31.3% of evaluable tumors; evidence of biallelic inactivation (LOH and mutation or methylation alone) was found in 86.0% whereas no involvement of VHL was found in only 3.4% of samples. Several associations were suggested, including those between LOH and grade, nodal status and necrosis, mutation and sex, and methylation and grade. Biallelic inactivation may be associated with better overall survival compared with patients with no VHL involvement, although small sample numbers in the latter group severely limit this analysis, which requires independent confirmation. Conclusions: This study reports one of the highest proportions of conventional renal cell carcinoma with VHL changes, and suggests possible relationships between VHL status and clinical variables. The data suggest that VHL defects may define conventional renal cell carcinomas but the clinical significance of specific VHL alterations will only be clarified by the determination of their biological effect at the protein level rather than through genetic or epigenetic analysis alone. (Clin Cancer Res 2009;15(24):7582–92)


Lancet Oncology | 2014

High-dose chemotherapy plus autologous stem-cell transplantation as consolidation therapy in patients with relapsed multiple myeloma after previous autologous stem-cell transplantation (NCRI Myeloma X Relapse [Intensive trial]): a randomised, open-label, phase 3 trial

Gordon Cook; Cathy Williams; Julia Brown; David A. Cairns; Jamie Cavenagh; John A. Snowden; A John Ashcroft; Marie Fletcher; Chris Parrish; Kwee Yong; Jim Cavet; Hanna Hunter; Jenny Bird; Anna Chalmers; Sheila J.M. O'Connor; Mark T. Drayson; T. C. M. Morris

BACKGROUND Relapsed multiple myeloma has no standard treatment, and the role of autologous stem-cell transplantation (ASCT) has not been fully defined. We aimed to compare high-dose melphalan plus salvage ASCT with cyclophosphamide in patients with relapsed multiple myeloma who had previously undergone ASCT. METHODS This multicentre, randomised, open-label, phase 3 study recruited patients aged at least 18 years with multiple myeloma who needed treatment for first progressive or relapsed disease at least 18 months after a previous ASCT from 51 centres across the UK. Before randomisation, eligible patients received bortezomib, doxorubicin, and dexamethasone (PAD) induction therapy and then underwent peripheral blood stem-cell mobilisation and harvesting if applicable. Eligible patients (with adequate stem-cell harvest) were randomly assigned (1:1), using an automated telephone randomisation line, to either high-dose melphalan 200 mg/m(2) plus salvage ASCT or oral cyclophosphamide (400mg/m(2) per week for 12 weeks). Randomisation was stratified by length of first remission or plateau and response to PAD re-induction therapy. The primary endpoint was time to disease progression, analysed by intention to treat. This trial is registered with ClinicalTrials.gov, number NCT00747877, and EudraCT, number 2006-005890-24. FINDINGS Between April 16, 2008, and Nov 19, 2012, 297 patients were registered, of whom 293 received PAD re-induction therapy. Between Aug 26, 2008, and Nov 16, 2012, 174 patients with sufficient PBSCs were randomised to salvage ASCT (n=89) or cyclophosphamide (n=85). After a median follow-up of 31 months (IQR 19-42), median time to progression was significantly longer in the salvage ASCT than in the cyclophosphamide group (19 months [95% CI 16-25] vs 11 months [9-12]; hazard ratio 0·36 [95% CI 0·25-0·53]; p<0·0001). Frequently reported (in >10% of patients) grade 3-4 adverse events with PAD induction, salvage ASCT, and cyclophosphamide were: neutropenia (125 [43%] of 293 patients after PAD, and 63 [76%] of 83 patients in the salvage ASCT group vs 11 [13%] of 84 patients in the cyclophosphamide group), thrombocytopenia (150 [51%] after PAD, and 60 [72%] vs four [5%], respectively), and peripheral neuropathy (35 [12%] after PAD, and none vs none, respectively). INTERPRETATION This study provides evidence for the improved efficacy of high-dose melphalan plus salvage ASCT when compared with cyclophosphamide in patients with relapsed multiple myeloma eligible for intensive therapy, which might help to guide clinical decisions regarding the management of such patients. FUNDING Cancer Research UK.


International Journal of Cancer | 2006

Urinary biomarker profiling in transitional cell carcinoma

Nicholas P. Munro; David A. Cairns; Paul Clarke; Mark Rogers; Anthea J. Stanley; Jennifer H. Barrett; Patricia Harnden; Douglas Thompson; Ian Eardley; Rosamonde E. Banks; Margaret A. Knowles

Urinary biomarkers or profiles that allow noninvasive detection of recurrent transitional cell carcinoma (TCC) of the bladder are urgently needed. We obtained duplicate proteomic (SELDI) profiles from 227 subjects (118 TCC, 77 healthy controls and 32 controls with benign urological conditions) and used linear mixed effects models to identify peaks that are differentially expressed between TCC and controls and within TCC subgroups. A Random Forest classifier was trained on 130 profiles to develop an algorithm to predict the presence of TCC in a randomly selected initial test set (n = 54) and an independent validation set (n = 43) several months later. Twenty two peaks were differentially expressed between all TCC and controls (p < 10−7). However potential confounding effects of age, sex and analytical run were identified. In an age‐matched sub‐set, 23 peaks were differentially expressed between TCC and combined benign and healthy controls at the 0.005 significance level. Using the Random Forest classifier, TCC was predicted with 71.7% sensitivity and 62.5% specificity in the initial set and with 78.3% sensitivity and 65.0% specificity in the validation set after 6 months, compared with controls. Several peaks of importance were also identified in the linear mixed effects model. We conclude that SELDI profiling of urine samples can identify patients with TCC with comparable sensitivities and specificities to current tumor marker tests. This is the first time that reproducibility has been demonstrated on an independent test set analyzed several months later. Identification of the relevant peaks may facilitate multiplex marker assay development for detection of recurrent disease.


Nature Communications | 2015

APOBEC family mutational signatures are associated with poor prognosis translocations in multiple myeloma

Brian A. Walker; Christopher P. Wardell; Alex Murison; Eileen Boyle; Dil Begum; Nasrin M. Dahir; Paula Proszek; Lorenzo Melchor; Charlotte Pawlyn; Martin Kaiser; David C. Johnson; Ya-Wei Qiang; John R Jones; David A. Cairns; Walter Gregory; Roger Owen; Gordon Cook; Mark T. Drayson; Graham Jackson; Faith E. Davies; Gareth J. Morgan

We have sequenced 463 presenting cases of myeloma entered into the UK Myeloma XI study using whole exome sequencing. Here we identify mutations induced as a consequence of misdirected AID in the partner oncogenes of IGH translocations, which are activating and associated with impaired clinical outcome. An APOBEC mutational signature is seen in 3.8% of cases and is linked to the translocation mediated deregulation of MAF and MAFB, a known poor prognostic factor. Patients with this signature have an increased mutational load and a poor prognosis. Loss of MAF or MAFB expression results in decreased APOBEC3B and APOBEC4 expression, indicating a transcriptional control mechanism. Kataegis, a further mutational pattern associated with APOBEC deregulation, is seen at the sites of the MYC translocation. The APOBEC mutational signature seen in myeloma is, therefore, associated with poor prognosis primary and secondary translocations and the molecular mechanisms involved in generating them.


Journal of Proteome Research | 2011

Initial Development and Validation of a Novel Extraction Method for Quantitative Mining of the Formalin-Fixed, Paraffin-Embedded Tissue Proteome for Biomarker Investigations

Niroshini Nirmalan; Chris Hughes; Jianhe Peng; Therese McKenna; James I. Langridge; David A. Cairns; Patricia Harnden; Peter Selby; Rosamonde E. Banks

Annotated formalin-fixed, paraffin-embedded (FFPE) tissue archives constitute a valuable resource for retrospective biomarker discovery. However, proteomic exploration of archival tissue is impeded by extensive formalin-induced covalent cross-linking. Robust methodology enabling proteomic profiling of archival resources is urgently needed. Recent work is beginning to support the feasibility of biomarker discovery in archival tissues, but further developments in extraction methods which are compatible with quantitative approaches are urgently needed. We report a cost-effective extraction methodology permitting quantitative proteomic analyses of small amounts of FFPE tissue for biomarker investigation. This surfactant/heat-based approach results in effective and reproducible protein extraction in FFPE tissue blocks. In combination with a liquid chromatography−mass spectrometry-based label-free quantitative proteomics methodology, the protocol enables the robust representative and quantitative analyses of the archival proteome. Preliminary validation studies in renal cancer tissues have identified typically 250−300 proteins per 500 ng of tissue with 1D LC−MS/MS with comparable extraction in FFPE and fresh frozen tissue blocks and preservation of tumor/normal differential expression patterns (205 proteins, r = 0.682; p < 10−15). The initial methodology presented here provides a quantitative approach for assessing the potential suitability of the vast FFPE tissue archives as an alternate resource for biomarker discovery and will allow exploration of methods to increase depth of coverage and investigate the impact of preanalytical factors.


JAMA | 2016

Effect of Care Guided by Cardiovascular Magnetic Resonance, Myocardial Perfusion Scintigraphy, or NICE Guidelines on Subsequent Unnecessary Angiography Rates: The CE-MARC 2 Randomized Clinical Trial

John P. Greenwood; David P Ripley; Colin Berry; Gerry P. McCann; Sven Plein; Chiara Bucciarelli-Ducci; Erica Dall’Armellina; Abhiram Prasad; Petra Bijsterveld; James Rj Foley; Kenneth Mangion; Mark Sculpher; Simon Walker; Colin C Everett; David A. Cairns; Linda Sharples; Julia Brown

IMPORTANCE Among patients with suspected coronary heart disease (CHD), rates of invasive angiography are considered too high. OBJECTIVE To test the hypothesis that among patients with suspected CHD, cardiovascular magnetic resonance (CMR)-guided care is superior to National Institute for Health and Care Excellence (NICE) guidelines-directed care and myocardial perfusion scintigraphy (MPS)-guided care in reducing unnecessary angiography. DESIGN, SETTING, AND PARTICIPANTS Multicenter, 3-parallel group, randomized clinical trial using a pragmatic comparative effectiveness design. From 6 UK hospitals, 1202 symptomatic patients with suspected CHD and a CHD pretest likelihood of 10% to 90% were recruited. First randomization was November 23, 2012; last 12-month follow-up was March 12, 2016. INTERVENTIONS Patients were randomly assigned (240:481:481) to management according to UK NICE guidelines or to guided care based on the results of CMR or MPS testing. MAIN OUTCOMES AND MEASURES The primary end point was protocol-defined unnecessary coronary angiography (normal fractional flow reserve >0.8 or quantitative coronary angiography [QCA] showing no percentage diameter stenosis ≥70% in 1 view or ≥50% in 2 orthogonal views in all coronary vessels ≥2.5 mm diameter) within 12 months. Secondary end points included positive angiography, major adverse cardiovascular events (MACEs), and procedural complications. RESULTS Among 1202 symptomatic patients (mean age, 56.3 years [SD, 9.0]; women, 564 [46.9%] ; mean CHD pretest likelihood, 49.5% [SD, 23.8%]), number of patients with invasive coronary angiography after 12 months was 102 in the NICE guidelines group (42.5% [95% CI, 36.2%-49.0%])], 85 in the CMR group (17.7% [95% CI, 14.4%-21.4%]); and 78 in the MPS group (16.2% [95% CI, 13.0%-19.8%]). Study-defined unnecessary angiography occurred in 69 (28.8%) in the NICE guidelines group, 36 (7.5%) in the CMR group, and 34 (7.1%) in the MPS group; adjusted odds ratio of unnecessary angiography: CMR group vs NICE guidelines group, 0.21 (95% CI, 0.12-0.34, P < .001); CMR group vs the MPS group, 1.27 (95% CI, 0.79-2.03, P = .32). Positive angiography proportions were 12.1% (95% CI, 8.2%-16.9%; 29/240 patients) for the NICE guidelines group, 9.8% (95% CI, 7.3%-12.8%; 47/481 patients) for the CMR group, and 8.7% (95% CI, 6.4%-11.6%; 42/481 patients) for the MPS group. A MACE was reported at a minimum of 12 months in 1.7% of patients in the NICE guidelines group, 2.5% in the CMR group, and 2.5% in the MPS group (adjusted hazard ratios: CMR group vs NICE guidelines group, 1.37 [95% CI, 0.52-3.57]; CMR group vs MPS group, 0.95 [95% CI, 0.46-1.95]). CONCLUSIONS AND RELEVANCE In patients with suspected angina, investigation by CMR resulted in a lower probability of unnecessary angiography within 12 months than NICE guideline-directed care, with no statistically significant difference between CMR and MPS strategies. There were no statistically significant differences in MACE rates. TRIAL REGISTRATION Clinicaltrials.gov Identifier: NCT01664858.


Proteomics | 2011

A systematic analysis of the effects of increasing degrees of serum immunodepletion in terms of depth of coverage and other key aspects in top-down and bottom-up proteomic analyses

Matthew P. Welberry Smith; Steven L. Wood; Alexandre Zougman; Jenny Ho; Jianhe Peng; David Jackson; David A. Cairns; Andrew Lewington; Peter Selby; Rosamonde E. Banks

Immunodepletion of clinical fluids to overcome the dominance by a few very abundant proteins has been explored but studies are few, commonly examining only limited aspects with one analytical platform. We have systematically compared immunodepletion of 6, 14, or 20 proteins using serum from renal transplant patients, analysing reproducibility, depth of coverage, efficiency, and specificity using 2‐D DIGE (‘top‐down’) and LC‐MS/MS (‘bottom‐up’). A progressive increase in protein number (≥2 unique peptides) was found from 159 in unfractionated serum to 301 following 20 protein depletion using a relatively high‐throughput 1‐D‐LC‐MS/MS approach, including known biomarkers and moderate–lower abundance proteins such as NGAL and cytokine/growth factor receptors. On the contrary, readout by 2‐D DIGE demonstrated good reproducibility of immunodepletion, but additional proteins seen tended to be isoforms of existing proteins. Depletion of 14 or 20 proteins followed by LC‐MS/MS showed excellent reproducibility of proteins detected and a significant overlap between columns. Using label‐free analysis, greater run‐to‐run variability was seen with the Prot20 column compared with the MARS14 column (median %CVs of 30.9 versus 18.2%, respectively) and a corresponding wider precision profile for the Prot20. These results illustrate the potential of immunodepletion followed by 1‐D nano‐LC‐LTQ Orbitrap Velos analysis in a moderate through‐put biomarker discovery process.


Proteomics | 2011

Statistical issues in quality control of proteomic analyses: Good experimental design and planning†

David A. Cairns

Quality control is becoming increasingly important in proteomic investigations as experiments become more multivariate and quantitative. Quality control applies to all stages of an investigation and statistics can play a key role. In this review, the role of statistical ideas in the design and planning of an investigation is described. This involves the design of unbiased experiments using key concepts from statistical experimental design, the understanding of the biological and analytical variation in a system using variance components analysis and the determination of a required sample size to perform a statistically powerful investigation. These concepts are described through simple examples and an example data set from a 2‐D DIGE pilot experiment. Each of these concepts can prove useful in producing better and more reproducible data.


Proteomics | 2009

Sample size determination in clinical proteomic profiling experiments using mass spectrometry for class comparison.

David A. Cairns; Jennifer H. Barrett; Lucinda Billingham; Anthea J. Stanley; George Xinarianos; John K. Field; Phillip J. Johnson; Peter Selby; Rosamonde E. Banks

Mass spectrometric profiling approaches such as MALDI‐TOF and SELDI‐TOF are increasingly being used in disease marker discovery, particularly in the lower molecular weight proteome. However, little consideration has been given to the issue of sample size in experimental design. The aim of this study was to develop a protocol for the use of sample size calculations in proteomic profiling studies using MS. These sample size calculations can be based on a simple linear mixed model which allows the inclusion of estimates of biological and technical variation inherent in the experiment. The use of a pilot experiment to estimate these components of variance is investigated and is shown to work well when compared with larger studies. Examination of data from a number of studies using different sample types and different chromatographic surfaces shows the need for sample‐ and preparation‐specific sample size calculations.

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Gareth J. Morgan

University of Arkansas for Medical Sciences

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Faith E. Davies

University of Arkansas for Medical Sciences

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Martin Kaiser

Institute of Cancer Research

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Charlotte Pawlyn

Institute of Cancer Research

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John R Jones

Institute of Cancer Research

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Roger G. Owen

St James's University Hospital

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Rosamonde E. Banks

St James's University Hospital

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