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Publications:  Dr Adam Brentnall

French DP, Astley S, Astley S, Brentnall AR, Cuzick J, Dobrashian R, Duffy SW, Gorman LS et al.(2020). What are the benefits and harms of risk stratified screening as part of the NHS breast screening Programme? Study protocol for a multi-site non-randomised comparison of BC-predict versus usual screening (NCT04359420). BMC Cancer vol. 20, (1)
10.1186/s12885-020-07054-2
https://qmro.qmul.ac.uk/xmlui/handle/123456789/65329
Renehan AG, Pegington M, Harvie MN, Sperrin M, Astley SM, Brentnall AR, Howell A, Cuzick J et al.(2020). Young adulthood body mass index, adult weight gain and breast cancer risk: the PROCAS Study (United Kingdom). British Journal of Cancer vol. 122, (10) 1552-1561.
10.1038/s41416-020-0807-9
Brentnall AR, van Veen EM, Harkness EF, Rafiq S, Byers H, Astley SM, Sampson S, Howell A et al.(2020). A case-control evaluation of 143 single nucleotide polymorphisms for breast cancer risk stratification with classical factors and mammographic density. Int J Cancer vol. 146, (8) 2122-2129.
10.1002/ijc.32541
https://qmro.qmul.ac.uk/xmlui/handle/123456789/59200
Brentnall AR, Cuzick J(2020). Risk Models for Breast Cancer and Their Validation. Statistical science : a review journal of the Institute of Mathematical Statistics vol. 35, (1) 14-30.
10.1214/19-sts729
https://qmro.qmul.ac.uk/xmlui/handle/123456789/63622
Moore KM, Desai A, de Luxán Delgado B, Trabulo SMD, Reader C, Brown NF, Murray ER, Brentnall A et al.(2020). Integrin αvβ6-specific therapy for pancreatic cancer developed from foot-and-mouth-disease virus. Theranostics vol. 10, (7) 2930-2942.
10.7150/thno.38702
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64292
Bright CJ, Brentnall AR, Wooldrage K, Myles J, Sasieni P, Duffy SW(2020). Errors in determination of net survival: cause-specific and relative survival settings. British Journal of Cancer
10.1038/s41416-020-0739-4
https://qmro.qmul.ac.uk/xmlui/handle/123456789/63283
Wang C, Brentnall AR, Mainprize J, Yaffe M, Cuzick J, Harvey JA(2020). External validation of a mammographic texture marker for breast cancer risk in a case-control study. Journal of Medical Imaging vol. 7, (1)
10.1117/1.JMI.7.1.014003
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64579
Sun L, Brentnall A, Patel S, Buist D, Bowles E, Evans DG, Eccles D, Hopper J et al. (2019). SHOULD WE OFFER MULTI-GENE TESTING TO ALL PATIENTS WITH BREAST CANCER: A COST-EFFECTIVENESS ANALYSIS. INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER. vol. 29, A31-A32.
10.1136/ijgc-2019-ESGO.31
Reader CS, Vallath S, Steele CW, Haider S, Brentnall A, Desai A, Moore KM, Jamieson NB et al.(2019). The integrin αvβ6 drives pancreatic cancer through diverse mechanisms and represents an effective target for therapy. Journal of Pathology vol. 249, (3) 332-342.
10.1002/path.5320
https://qmro.qmul.ac.uk/xmlui/handle/123456789/58426
Sun L, Brentnall A, Patel S, Buist DSM, Bowles EJA, Evans DGR, Eccles D, Hopper J et al.(2019). A Cost-effectiveness Analysis of Multigene Testing for All Patients with Breast Cancer. JAMA Oncology
10.1001/jamaoncol.2019.3323
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64584
Sun L, Brentnall A, Patel S, Buist SM D, Bowles JA E, Evans R DG, Eccles D, Hopper J et al.(2019). 66 Should we offer multi-gene testing to all patients with breast cancer: a cost-effectiveness analysis. Regional plenary
10.1136/ijgc-2019-igcs.66
https://qmro.qmul.ac.uk/xmlui/handle/123456789/65196
Rebolj M, Brentnall AR, Mathews C, Denton K, Holbrook M, Levine T, Sargent A, Smith J et al.(2019). 16/18 genotyping in triage of persistent human papillomavirus infections with negative cytology in the English cervical screening pilot. British Journal of Cancer vol. 121, (6) 455-463.
10.1038/s41416-019-0547-x
https://qmro.qmul.ac.uk/xmlui/handle/123456789/59552
Manchanda R, Sun L, Patel S, Wilschut J, Lopes Carolina de Freitas A, Brentnall A, Duffy S, Cui B et al. (2019). GLOBAL ECONOMIC EVALUATION OF POPULATION-BASED BRCA1/BRCA2 MUTATION TESTING. INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER. vol. 29, A6-A7.
10.1136/ijgc-2019-IGCS.10
https://qmro.qmul.ac.uk/xmlui/handle/123456789/63059
Ionescu GV, Fergie M, Berks M, Harkness EF, Hulleman J, Brentnall AR, Cuzick J, Evans DG et al.(2019). Prediction of reader estimates of mammographic density using convolutional neural networks. Journal of Medical Imaging vol. 6, (3)
10.1117/1.JMI.6.3.031405
https://qmro.qmul.ac.uk/xmlui/handle/123456789/55611
Cook DA, Krajden M, Brentnall AR, Gondara L, Chan T, Law JH, Smith LW, van Niekerk DJ et al.(2019). Evaluation of a validated methylation triage signature for human papillomavirus positive women in the HPV FOCAL cervical cancer screening trial. International Journal of Cancer vol. 144, (10) 2587-2595.
10.1002/ijc.31976
https://qmro.qmul.ac.uk/xmlui/handle/123456789/51583
Brentnall AR, Cohn WF, Knaus WA, Yaffe MJ, Cuzick J, Harvey JA(2019). A Case-Control Study to Add Volumetric or Clinical Mammographic Density into the Tyrer-Cuzick Breast Cancer Risk Model. Journal of Breast Imaging vol. 1, (2) 99-106.
10.1093/jbi/wbz006
https://qmro.qmul.ac.uk/xmlui/handle/123456789/58801
Cuzick J, Brentnall A(2019). Commentary on Terry et al., 10-Year Performance of Four Models of Breast Cancer Risk: A Validation Study. Lancet Oncol. 2019;20(4):504-17. Med One vol. 4, (2)
10.20900/mo.20190006
https://qmro.qmul.ac.uk/xmlui/handle/123456789/61141
Escala-Garcia M, Guo Q, Dörk T, Canisius S, Keeman R, Dennis J, Beesley J, Lecarpentier J et al.(2019). Genome-wide association study of germline variants and breast cancer-specific mortality. British Journal of Cancer vol. 120, (6) 647-657.
10.1038/s41416-019-0393-x
https://qmro.qmul.ac.uk/xmlui/handle/123456789/56178
Evans DG, Thomas S, Caunt J, Burch A, Brentnall AR, Roberts L, Howell A, Wilson M et al.(2019). Final Results of the Prospective FH02 Mammographic Surveillance Study of Women Aged 35-39 at Increased Familial Risk of Breast Cancer. EClinicalMedicine vol. 7, 39-46.
10.1016/j.eclinm.2019.01.005
https://qmro.qmul.ac.uk/xmlui/handle/123456789/57096
Mavaddat N, Michailidou K, Dennis J, Lush M, Fachal L, Lee A, Tyrer JP, Chen TH et al.(2019). Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes. American Journal of Human Genetics vol. 104, (1) 21-34.
10.1016/j.ajhg.2018.11.002
https://qmro.qmul.ac.uk/xmlui/handle/123456789/56076
Evans DGR, Harkness EF, Brentnall AR, van Veen EM, Astley SM, Byers H, Sampson S, Southworth J et al.(2019). Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants. Breast Cancer Research and Treatment
10.1007/s10549-019-05210-2
https://qmro.qmul.ac.uk/xmlui/handle/123456789/58802
Rebolj M, Brentnall A, Duffy SW(2018). Reply to ‘Comment on ‘Addition of ultrasound to mammography in the case of dense breast tissue: systematic review and meta-analysis”. British Journal of Cancer vol. 119, (11)
10.1038/s41416-018-0247-y
https://qmro.qmul.ac.uk/xmlui/handle/123456789/56395
Brentnall AR, Buist DSM, Cuzick J(2018). Competing Risks for a Diagnosis of Invasive Breast Cancer-Reply. JAMA Oncol
10.1001/jamaoncol.2018.5102
https://qmro.qmul.ac.uk/xmlui/handle/123456789/58281
Zakharova NA, Brentnall AR, Belaya J, Bilan E(2018). 10-year results of the breast cancer screening program in Khanty-Mansiysk state region Ugra. Annals of oncology : official journal of the European Society for Medical Oncology vol. 29,
10.1093/annonc/mdy297.036
van Veen EM, Harkness EF, Brentnall AR, Astley SM, Sampson S, Howell A, Newman WG, Cuzick J et al. (2018). Improving breast cancer risk prediction by combining 18 SNPs, mammographic density and the Tyrer-Cuzick model. EUROPEAN JOURNAL OF HUMAN GENETICS. vol. 26, 681-681.
Brentnall AR, Cuzick J, Buist DSM, Bowles EJA(2018). Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density. JAMA oncology vol. 4, (9)
10.1001/jamaoncol.2018.0174
https://qmro.qmul.ac.uk/xmlui/handle/123456789/36390
Buus R, Yeo B, Brentnall AR, Klintman M, Cheang MCU, Khabra K, Sestak I, Gao Q et al.(2018). Novel 18-gene signature for predicting relapse in ER-positive, HER2-negative breast cancer. Breast Cancer Research vol. 20, (1)
10.1186/s13058-018-1040-9
https://qmro.qmul.ac.uk/xmlui/handle/123456789/44789
Atakpa EC, Thorat MA, Cuzick J, Brentnall AR(2018). Mammographic density, endocrine therapy and breast cancer risk: A prognostic and predictive biomarker review. Cochrane Database of Systematic Reviews vol. 2018, (8)
10.1002/14651858.CD013091
https://qmro.qmul.ac.uk/xmlui/handle/123456789/44367
Ionescu GV, Fergie M, Berks M, Harkness EF, Hulleman J, Brentnall AR, Cuzick J, Evans DG et al. (2018). Using a convolutional neural network to predict readers' estimates of mammographic density for breast cancer risk assessment. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Conference: 14th International Workshop on Breast Imaging (IWBI 2018) (Atlanta, Georgia, United States) from: 11/07/2018 to: 08/07/2018, vol. 10718,
10.1117/12.2318464
https://qmro.qmul.ac.uk/xmlui/handle/123456789/63614
Wang C, Brentnall AR, Cuzick J, Harkness EF, Evans DG, Astley S(2018). Exploring the prediction performance for breast cancer risk based on volumetric mammographic density at different thresholds. Breast Cancer Research vol. 20, (1)
10.1186/s13058-018-0979-x
https://qmro.qmul.ac.uk/xmlui/handle/123456789/39963
Rebolj M, Assi V, Brentnall A, Parmar D, Duffy SW(2018). Addition of ultrasound to mammography in the case of dense breast tissue: systematic review and meta-analysis. British journal of cancer vol. 118, (12) 1559-1570.
10.1038/s41416-018-0080-3
https://qmro.qmul.ac.uk/xmlui/handle/123456789/45083
van Veen EM, Brentnall AR, Byers H, Harkness EF, Astley SM, Sampson S, Howell A, Newman WG et al.(2018). Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction. JAMA oncology vol. 4, (4) 476-482.
10.1001/jamaoncol.2017.4881
https://qmro.qmul.ac.uk/xmlui/handle/123456789/37663
Astley SM, Harkness EF, Sergeant JC, WARWICK J, Stavrinos P, Warren R, Wilson M, Beetles U et al.(2018). A comparison of five methods of measuring mammographic density: a case-control study. Breast Cancer Research
10.1186/s13058-018-0932-z
https://qmro.qmul.ac.uk/xmlui/handle/123456789/32385
Evans DG, Brentnall AR, Harvie M, Astley S, Harkness EF, Stavrinos P, Donnelly LS, Sampson S et al.(2018). Breast cancer risk in a screening cohort of Asian and white British/Irish women from Manchester UK. BMC public health vol. 18, (1)
10.1186/s12889-018-5090-9
https://qmro.qmul.ac.uk/xmlui/handle/123456789/31783
Howell A, Ashcroft L, Fallowfield L, Eccles DM, Eeles RA, Ward A, Brentnall AR, Dowsett M et al.(2018). RAZOR: A Phase II Open Randomized Trial of Screening Plus Goserelin and Raloxifene Versus Screening Alone in Premenopausal Women at Increased Risk of Breast Cancer. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 27, (1) 58-66.
10.1158/1055-9965.epi-17-0158
https://qmro.qmul.ac.uk/xmlui/handle/123456789/25368
Cuzick J, Brentnall A, Dowsett M(2017). SNPs for breast cancer risk assessment. Oncotarget vol. 8, (59) 99211-99212.
10.18632/oncotarget.22278
https://qmro.qmul.ac.uk/xmlui/handle/123456789/31333
Wang C, Brentnall AR, Cuzick J, Harkness EF, Evans DG, Astley S(2017). A novel and fully automated mammographic texture analysis for risk prediction: results from two case-control studies. Breast cancer research : BCR vol. 19, (1)
10.1186/s13058-017-0906-6
https://qmro.qmul.ac.uk/xmlui/handle/123456789/28809
Vasiljevi¿ N, Carter PD, Reuter C, Warman R, Brentnall AR, Carton JR, Cuzick J, Lorincz AT(2017). Role of quantitative p16INK4A mRNA assay and digital reading of p16INK4A immunostained sections in diagnosis of cervical intraepithelial neoplasia. International journal of cancer vol. 141, (4) 829-836.
10.1002/ijc.30783
https://qmro.qmul.ac.uk/xmlui/handle/123456789/23532
Brentnall AR, Sasieni P, Cuzick J(2017). Estimating efficacy in trials with selective crossover. Statistics in medicine vol. 36, (15) 2333-2346.
10.1002/sim.7275
https://qmro.qmul.ac.uk/xmlui/handle/123456789/22470
Sasieni P, Brentnall AR(2017). On standardized relative survival. Biometrics vol. 73, (2) 473-482.
10.1111/biom.12578
https://qmro.qmul.ac.uk/xmlui/handle/123456789/14905
Cuzick J, Brentnall AR, Segal C, Byers H, Reuter C, Detre S, Lopez-Knowles E, Sestak I et al.(2017). Impact of a Panel of 88 Single Nucleotide Polymorphisms on the Risk of Breast Cancer in High-Risk Women: Results From Two Randomized Tamoxifen Prevention Trials. Journal of clinical oncology : official journal of the American Society of Clinical Oncology vol. 35, (7) 743-750.
10.1200/jco.2016.69.8944
https://qmro.qmul.ac.uk/xmlui/handle/123456789/16158
Evans DG, Brentnall A, Byers H, Harkness E, Stavrinos P, Howell A, FH-risk study Group, Newman WG et al.(2017). The impact of a panel of 18 SNPs on breast cancer risk in women attending a UK familial screening clinic: a case-control study. Journal of medical genetics vol. 54, (2) 111-113.
10.1136/jmedgenet-2016-104125
https://qmro.qmul.ac.uk/xmlui/handle/123456789/16742
Brentnall AR, Duffy SW, Cuzick J (2017). Breast-Cancer Tumor Size and Screening Effectiveness. vol. 376, is. 1, pp. 94-94.
10.1056/NEJMc1614282
Brentnall AR, Cuzick J(2016). Use of the concordance index for predictors of censored survival data. Statistical Methods in Medical Research vol. 27, (8) 2359-2373.
10.1177/0962280216680245
https://qmro.qmul.ac.uk/xmlui/handle/123456789/18788
Evans DG, Astley S, Stavrinos P, Harkness E, Donnelly LS, Dawe S, Jacob I, Harvie M et al.(2016). Improvement in risk prediction, early detection and prevention of breast cancer in the NHS Breast Screening Programme and family history clinics: a dual cohort study.
Brentnall AR, Cuzick J, Byers H, Segal C, Reuter C, Detre S, Sestak I, Howell A et al.(2016). Relationship of ZNF423 and CTSO with breast cancer risk in two randomised tamoxifen prevention trials. Breast cancer research and treatment vol. 158, (3) 591-596.
10.1007/s10549-016-3885-x
https://qmro.qmul.ac.uk/xmlui/handle/123456789/15403
Astley S, Harkness E, Sergeant J, Stavrinos P, Warren R, Wilson M, Brentnall A, Cuzick J et al. (2016). A comparison of four methods of mammographic density measurement in the UK Predicting Risk Of Cancer At Screening (PROCAS) study - on behalf of the PROCAS Study team. EUROPEAN JOURNAL OF CANCER. vol. 61, S6-S6.
Lorincz AT, Brentnall AR, Scibior-Bentkowska D, Reuter C, Banwait R, Cadman L, Austin J, Cuzick J et al.(2016). Validation of a DNA methylation HPV triage classifier in a screening sample. International Journal of Cancer vol. 138, (11) 2745-2751.
10.1002/ijc.30008
https://qmro.qmul.ac.uk/xmlui/handle/123456789/12311
Evans DGR, Donnelly LS, Harkness EF, Astley SM, Stavrinos P, Dawe S, Watterson D, Fox L et al.(2016). Breast cancer risk feedback to women in the UK NHS breast screening population. British Journal of Cancer vol. 114, (9) 1045-1052.
10.1038/bjc.2016.56
Evans DG, Astley SM, Brentnall A, Howell A, Cuzick J (2016). Mammographic density and SNPs add to Tyrer-Cuzick and Gail model breast cancer risk in a UK screening cohort. CANCER RESEARCH. vol. 76,
10.1158/1538-7445.SABCS15-PD1-07
Brentnall AR, Harkness EF, Astley SM, Donnelly LS, Stavrinos P, Sampson S, Fox L, Sergeant JC et al.(2015). Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. Breast Cancer Research
10.1186/s13058-015-0653-5
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10858
Brentnall AR, Cuzick J(2015). Atypical Hyperplasia of the Breast. NEW ENGLAND JOURNAL OF MEDICINE vol. 372, (13) 1269-1270.
10.1056/NEJMc1501046
https://qmro.qmul.ac.uk/xmlui/handle/123456789/7565
Brentnall AR, Cuzick J(2015). Atypical hyperplasia of the breast. The New England journal of medicine vol. 372, (13) 1269-1270.
10.1056/NEJMc1501046#SA1
https://qmro.qmul.ac.uk/xmlui/handle/123456789/11984
Brentnall AR, Cuzick J, Field J, Duffy SW(2015). A concordance index for matched case-control studies with applications in cancer risk. Stat Med vol. 34, (3) 396-405.
10.1002/sim.6335
https://qmro.qmul.ac.uk/xmlui/handle/123456789/12301
Assi V, Massat NJ, Thomas S, Mackay J, Warwick J, Kataoka M, Warsi I, Brentnall A et al.(2015). A case-control study to assess the impact of mammographic density on breast cancer risk in women aged 40-49 at intermediate familial risk. International Journal of Cancer vol. 136, (10) 2378-2387.
10.1002/ijc.29275
https://qmro.qmul.ac.uk/xmlui/handle/123456789/6662
Brentnall AR, Vasiljevic N, Scibior-Bentkowska D, Cadman L, Austin J, Cuzick J, Lorincz AT(2015). HPV33 DNA methylation measurement improves cervical pre-cancer risk estimation of an HPV16, HPV18, HPV31 and EPB41L3 methylation classifier. Cancer Biomarkers vol. 15, (5) 669-675.
10.3233/CBM-150507
https://qmro.qmul.ac.uk/xmlui/handle/123456789/9289
Evans DG, Brentnall AR, Harvie M, Dawe S, Sergeant JC, Stavrinos P, Astley S, Wilson M et al.(2014). Breast cancer risk in young women in the national breast screening programme: implications for applying NICE guidelines for additional screening and chemoprevention. Cancer Prev Res (Phila) vol. 7, (10) 993-1001.
10.1158/1940-6207.CAPR-14-0037
Brentnall AR, Vasiljevi¿ N, Scibior-Bentkowska D, Cadman L, Austin J, Szarewski A, Cuzick J, Lorincz AT(2014). A DNA methylation classifier of cervical precancer based on human papillomavirus and human genes. Int J Cancer vol. 135, (6) 1425-1432.
10.1002/ijc.28790
https://qmro.qmul.ac.uk/xmlui/handle/123456789/11422
Moore KM, Thomas GJ, Duffy SW, Warwick J, Gabe R, Chou P, Ellis IO, Green AR et al.(2014). Therapeutic targeting of integrin αvβ6 in breast cancer. J Natl Cancer Inst vol. 106, (8)
10.1093/jnci/dju169
https://qmro.qmul.ac.uk/xmlui/handle/123456789/8829
Evans DGR, Ingham S, Dawe S, Roberts L, Lalloo F, Brentnall AR, Stavrinos P, Howell A(2014). Breast cancer risk assessment in 8,824 women attending a family history evaluation and screening programme. FAMILIAL CANCER vol. 13, (2) 189-196.
10.1007/s10689-013-9694-z
Cuzick JM, Brentnall A, Segal C, Sestak I, Kealy R, Howell A, Powles TJ, Orr N et al. (2014). Use of a SNP panel to refine risk estimates in women at high risk of breast cancer: Results from two randomized tamoxifen prevention trials. JOURNAL OF CLINICAL ONCOLOGY. vol. 32,
10.1200/jco.2014.32.15_suppl.1519
Vasiljevi¿ N, Scibior-Bentkowska D, Brentnall A, Cuzick J, Lorincz A(2014). A comparison of methylation levels in HPV18, HPV31 and HPV33 genomes reveals similar associations with cervical precancers. J Clin Virol vol. 59, (3) 161-166.
10.1016/j.jcv.2013.12.014
Evans G, Stavrinos P, Dawe S, Harvie M, Wilson M, Maxwell A, Brentnall A, Cuzick J et al. (2014). Assessing individual breast cancer risk within the UK National Health Service Breast Screening Programme: First prospective results from PROCAS. EUROPEAN JOURNAL OF CANCER. vol. 50, S3-S4.
10.1016/S0959-8049(14)70116-9
Vasiljevi¿ N, Scibior-Bentkowska D, Brentnall AR, Cuzick J, Lorincz AT(2014). Credentialing of DNA methylation assays for human genes as diagnostic biomarkers of cervical intraepithelial neoplasia in high-risk HPV positive women. Gynecol Oncol vol. 132, (3) 709-714.
10.1016/j.ygyno.2014.02.001
Brentnall AR, Evans DG, Cuzick J(2014). Distribution of breast cancer risk from SNPs and classical risk factors in women of routine screening age in the UK. Br J Cancer vol. 110, (3) 827-828.
10.1038/bjc.2013.747
https://qmro.qmul.ac.uk/xmlui/handle/123456789/11420
Ho-Yen CM, Green AR, Rakha EA, Brentnall AR, Ellis IO, Kermorgant S, Jones JL(2014). C-Met in invasive breast cancer: is there a relationship with the basal-like subtype?. Cancer vol. 120, (2) 163-171.
10.1002/cncr.28386
(2014). Mammographic breast density refines Tyrer-Cuzick estimates of breast cancer risk in high-risk women: findings from the placebo arm of the International Breast Cancer Intervention Study I. Breast cancer research : BCR vol. 16, (5)
10.1186/s13058-014-0451-5
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10782
Sasieni PD, Brentnall AR(2014). Survival analysis. Handbook of Epidemiology: Second Edition,
Moore KM, Thomas GJ, Duffy SW, Warwick J, Gabe R, Chou P, Ellis IO, Green AR et al.(2013). Therapeutic targeting of integrin alpha v beta 6 in high-risk breast cancer. MOLECULAR CANCER RESEARCH vol. 11,
10.1158/1557-3125.ADVBC-B046
Lorincz AT, Brentnall AR, Vasiljevi¿ N, Scibior-Bentkowska D, Castanon A, Fiander A, Powell N, Tristram A et al.(2013). HPV16 L1 and L2 DNA methylation predicts high-grade cervical intraepithelial neoplasia in women with mildly abnormal cervical cytology. Int J Cancer vol. 133, (3) 637-644.
10.1002/ijc.28050
https://qmro.qmul.ac.uk/xmlui/handle/123456789/11423
Brentnall AR, Duffy SW, Baio G, Raine R(2012). Strategy for power calculation for interactions: application to a trial of interventions to improve uptake of bowel cancer screening. Contemp Clin Trials vol. 33, (1) 213-217.
10.1016/j.cct.2011.09.021
Brentnall AR, Duffy SW, Crowder MJ, Gillan MGC, Astley SM, Wallis MG, James J, Boggis CRM et al.(2011). A METHOD FOR EXPLORATORY REPEATED-MEASURES ANALYSIS APPLIED TO A BREAST-CANCER SCREENING STUDY. ANNALS OF APPLIED STATISTICS vol. 5, (4) 2448-2469.
10.1214/11-AOAS481
https://qmro.qmul.ac.uk/xmlui/handle/123456789/11421
Allen MD, Vaziri R, Green M, Chelala C, Brentnall AR, Dreger S, Vallath S, Nitch-Smith H et al.(2011). Clinical and functional significance of α9β1 integrin expression in breast cancer: a novel cell-surface marker of the basal phenotype that promotes tumour cell invasion. J Pathol vol. 223, (5) 646-658.
10.1002/path.2833
Brentnall AR, Crowder MJ, Hand DJ(2011). Approximate repeated-measures shrinkage. COMPUT STAT DATA AN vol. 55, (2) 1150-1159.
10.1016/j.csda.2010.09.014
Vasiljevi¿ N, Wu K, Brentnall AR, Kim DC, Thorat MA, Kudahetti SC, Mao X, Xue L et al.(2011). Absolute quantitation of DNA methylation of 28 candidate genes in prostate cancer using pyrosequencing. Dis Markers vol. 30, (4) 151-161.
10.3233/DMA-2011-0790
https://qmro.qmul.ac.uk/xmlui/handle/123456789/10491
Duffy SW, Mackay J, Thomas S, Anderson E, Evans DG, Fielder H, Fox R, Gray J et al.(2010). Mammographic surveillance in women younger than 50 years who have a family history of breast cancer: tumour characteristics and projected effect on mortality in the prospective, single-arm, FH01 study. LANCET ONCOL vol. 11, (12) 1127-1134.
10.1016/S1470.2045(10)70263.1
Brentnall AR, Crowder MJ, Hand DJ(2010). Predictive-sequential forecasting system development for cash machine stocking. INT J FORECASTING vol. 26, (4) 764-776.
10.1016/j.ijforecast.2009.09.009
James JJ, Gilbert FJ, Wallis MG, Gillan MGC, Astley SM, Boggis CRM, Agbaje OF, Brentnall AR et al.(2010). Mammographic Features of Breast Cancers at Single Reading with Computer-aided Detection and at Double Reading in a Large Multicenter Prospective Trial of Computer-aided Detection: CADET II. Radiology vol. 256, (2) 379-386.
10.1148/radiol.10091899
Brentnall AR, Crowder MJ, Hand DJ(2010). Predicting the amount individuals withdraw at cash machines using a random effects multinomial model. STAT MODEL vol. 10, (2) 197-214.
10.1177/1471082X0801000205
Brentnall AR, Cheng RCH(2009). Some effects of aircraft arrival sequence algorithms. Journal of the Operational Research Society vol. 60, (7) 962-972.
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