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Publications:  Dr Adam Brentnall

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 Res Treat vol. 176, (1) 141-148.
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. J Med Imaging (Bellingham) vol. 6, (3)
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. J Pathol
Brentnall AR, van Veen EM, Harkness EF, Rafiq S, Byers H, Astley SM, Sampson S, Howell A et al.(2019). A case-control evaluation of 143 single nucleotide polymorphisms for breast cancer risk stratification with classical factors and mammographic density. International journal of cancer
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. Int J Cancer vol. 144, (10) 2587-2595.
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.
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. Br J Cancer vol. 120, (6) 647-657.
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.
Mavaddat N, Michailidou K, Dennis J, Lush M, Fachal L, Lee A, Tyrer JP, Chen T-H et al.(2019). Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes. Am J Hum Genet vol. 104, (1) 21-34.
Brentnall AR, Buist DSM, Cuzick J(2018). Competing Risks for a Diagnosis of Invasive Breast Cancer-Reply. JAMA Oncol
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". Br J Cancer vol. 119, (11)
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)
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 Res vol. 20, (1)
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)
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 Res vol. 20, (1)
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.
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.
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
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)
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.
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. vol. 10718,
Cuzick J, Brentnall A, Dowsett M(2017). SNPs for breast cancer risk assessment. Oncotarget vol. 8, (59) 99211-99212.
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)
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.
Brentnall AR, Sasieni P, Cuzick J(2017). Estimating efficacy in trials with selective crossover. Statistics in medicine vol. 36, (15) 2333-2346.
Sasieni P, Brentnall AR(2017). On standardized relative survival. Biometrics vol. 73, (2) 473-482.
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.
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.
Brentnall AR, Duffy SW, Cuzick J (2017). Breast-Cancer Tumor Size and Screening Effectiveness. vol. 376, is. 1, pp. 94-94.
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.
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.
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. Int J Cancer vol. 138, (11) 2745-2751.
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. Br J Cancer vol. 114, (9) 1045-1052.
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,
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 vol. 17, (1)
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 Res vol. 17, (1)
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. Int J Cancer vol. 136, (10) 2378-2387.
Brentnall AR, Cuzick J(2015). Atypical Hyperplasia of the Breast. NEW ENGLAND JOURNAL OF MEDICINE vol. 372, (13) 1269-1270.
Brentnall AR, Cuzick J(2015). Atypical hyperplasia of the breast. N Engl J Med vol. 372, (13) 1269-1270.
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.
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 \textit{EPB41L3} methylation classifier. Cancer Biomark vol. 15, (5) 669-675.
Warwick J, Birke H, Stone J, Warren RML, Pinney E, Brentnall AR, Duffy SW, Howell A et al.(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 Res vol. 16, (5)
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.
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.
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)
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.
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,
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.
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.
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.
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.
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.
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,
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.
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.
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.
Brentnall AR, Crowder MJ, Hand DJ(2011). Approximate repeated-measures shrinkage. COMPUT STAT DATA AN vol. 55, (2) 1150-1159.
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.
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.
Brentnall AR, Crowder MJ, Hand DJ(2010). Predictive-sequential forecasting system development for cash machine stocking. INT J FORECASTING vol. 26, (4) 764-776.
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.
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.
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