Dr Tim Rattay

NIHR Clinical Lecturer

School/Department: Genetics and Genome Biology, Department of

Telephone: +44 (0)116 252 5825



I am a Clinical Lecturer in Surgery with an honorary appointment at University Hospitals of Leicester NHS Trust. After core surgical training in the West Midlands and a Medical Teaching Fellowship at the University of Warwick, I entered the NIHR joint clinical-academic training programme in the East Midlands Deanery. I completed an Academic Clinical Fellowship and subsequently obtained my PhD from the University of Leicester funded by an NIHR Doctoral Research Fellowship. I work clinically at the Glenfield Hospital in Leicester, one of the largest volume breast cancer centres in the UK.


Breast cancer is the most common cancer in the UK accounting for over 50000 new cases per year. Thankfully, the vast majority of breast cancers are treatable. Approximately half a million women previously diagnosed with breast cancer were estimated to be alive in the UK in 2010 - a figure predicted to rise to over 800000 by 2020.

Surgery and radiotherapy are the most commonly used breast cancer treatments. However about 1 in 5 patients will experience moderate to severe side-effects (toxicity) from treatment. My main research interests are in the prediction and reduction of treatment toxicity in the breast. My research is focused on validating clinical and molecular predictors of toxicity as well as discovering new predictors through Big Data and artificial intelligence (AI) approaches. I am also interested in applying qualitative research methodology to explore patients’ views on breast cancer treatments and personalised medicine.

I previously worked on the EU-funded REQUITE study. Currently I am local PI for the ERA-funded RADprecise study. My other funders are the NIHR the STFC Global Challenge Network+ Advanced radiotherapy and the Association of Breast Surgery.



A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy.
Aldraimli M, Soria D, Grishchuck D, Ingram S, Lyon R, Mistry A, Oliveira J, Samuel R, Shelley LEA, Osman S, Dwek MV, Azria D, Chang-Claude J, GutiÃrrez-Enríquez S, De Santis MC, Rosenstein BS, De Ruysscher D, Sperk E, Symonds RP, Stobart H, Vega A, Veldeman L, Webb A, Talbot CJ, West CM, Rattay T, Chaussalet TJ. Comput Biol Med. 2021 Aug;135:104624. doi: 10.1016/j.compbiomed.2021.104624.

Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity.
Franco NR, Massi MC, Ieva F, Manzoni A, Paganoni AM, Zunino P, Veldeman L, Ost P, Fonteyne V, Talbot CJ, Rattay T, Webb A, Johnson K, Lambrecht M, Haustermans K, De Meerleer G, de Ruysscher D, Vanneste B, Van Limbergen E, Choudhury A, Elliott RM, Sperk E, Veldwijk MR, Herskind C, Avuzzi B, Noris Chiorda B, Valdagni R, Azria D, Farcy-Jacquet MP, Brengues M, Rosenstein BS, Stock RG, Vega A, Aguado-Barrera ME, Sosa-Fajardo P, Dunning AM, Fachal L, Kerns SL, Payne D, Chang-Claude J, Seibold P, West CML, Rancati T. Radiother Oncol. 2021 Jun;159:241-248. doi: 10.1016/j.radonc.2021.03.024.

External Validation of a Predictive Model for Acute Skin Radiation Toxicity in the REQUITE Breast Cohort.
Rattay T, Seibold P, Aguado-Barrera ME, Altabas M, Azria D, Barnett GC, Bultijnck R, Chang-Claude J, Choudhury A, Coles CE, Dunning AM, Elliott RM, Farcy Jacquet MP, Gutiérrez-Enríquez S, Johnson K, Müller A, Post G, Rancati T, Reyes V, Rosenstein BS, De Ruysscher D, de Santis MC, Sperk E, Stobart H, Symonds RP, Taboada-Valladares B, Vega A, Veldeman L, Webb AJ, West CM, Valdagni R, Talbot CJ. Front Oncol. 2020 Oct 30;10:575909. doi: 10.3389/fonc.2020.575909.

REQUITE: A prospective multicentre cohort study of patients undergoing radiotherapy for breast, lung or prostate cancer.
Seibold P, Webb A, Aguado-Barrera ME, Azria D, Bourgier C, Brengues M, Briers E, Bultijnck R, Calvo-Crespo P, Carballo A, Choudhury A, Cicchetti A, Claßen J, Delmastro E, Dunning AM, Elliott RM, Fachal L, Farcy-Jacquet MP, Gabriele P, Garibaldi E, Gómez-Caamaño A, Gutiérrez-Enríquez S, Higginson DS, Johnson K, Lobato-Busto R, Mollà M, Müller A, Payne D, Peleteiro P, Post G, Rancati T, Rattay T, Reyes V, Rosenstein BS, De Ruysscher D, De Santis MC, Schäfer J, Schnabel T, Sperk E, Symonds RP, Stobart H, Taboada-Valladares B, Talbot CJ, Valdagni R, Vega A, Veldeman L, Ward T, Weißenberger C, West CML, Chang-Claude J; REQUITE consortium. Radiother Oncol. 2019 Sep;138:59-67. doi: 10.1016/j.radonc.2019.04.034.

The impact of immediate breast reconstruction on the time to delivery of adjuvant therapy: the iBRA-2 study.
O'Connell RL, Rattay T, Dave RV, Trickey A, Skillman J, Barnes NLP, Gardiner M, Harnett A, Potter S, Holcombe C. Br J Cancer. 2019 Apr;120(9):883-895. doi: 10.1038/s41416-019-0438-1.

Genetic Variants Predict Optimal Timing of Radiotherapy to Reduce Side-effects in Breast Cancer Patients.
Johnson K, Chang-Claude J, Critchley AM, Kyriacou C, Lavers S, Rattay T, Seibold P, Webb A, West C, Symonds RP, Talbot CJ. Clin Oncol (R Coll Radiol). 2019 Jan;31(1):9-16. doi: 10.1016/j.clon.2018.10.001.

The Patient Perspective on Radiogenomics Testing for Breast Radiation Toxicity.
Rattay T, Symonds RP, Shokuhi S, Talbot CJ, Schnur JB. Clin Oncol (R Coll Radiol). 2018 Mar;30(3):151-157. doi: 10.1016/j.clon.2017.12.001.



Prediction of treatment toxicity in the breast using clinical and molecular markers

Radiogenomics Breast surgery and reconstruction

Exploring patients’ views on breast cancer treatments


MBChB Surgery and Cancer Care Blocks

MSc Cancer Molecular Pathology and Therapeutics

Press and media

Breast cancer





Associate Specialty Study Lead, Royal College of Surgeons of England

Member of Mammary Fold Academic & Research Committee

Membership of Association of Breast Surgery, British Association of Surgical Oncology, International Radiogenomics Consortium


BSc(Hons) University of Bristol

MBChB University of Bristol

MMedEd University of Warwick

MRes University of Leicester

PhD University of Leicester

FRCS Royal College of Surgeons of England

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