Kerstie Johnson
University of Leicester
Quality of lifeBiobankCancerInternal medicineMoist desquamationOncologyLogistic regressionRadiogenomicsPhysical therapyProspective cohort studyCohort studyExternal beam radiotherapyQuality of life (healthcare)Prostate cancerCosmesisToxicityLipid loweringIntegral doseRadiation therapyBreast cancerMedicineCohort
16Publications
2H-index
25Citations
Publications 16
Newest
#1Nicola Rares Franco (Ghent University Hospital)H-Index: 1
#1Nicola Rares Franco (Ghent University Hospital)
Last. Tiziana RancatiH-Index: 27
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AIM To identify the effect of single nucleotide polymorphism (SNP) interactions on the risk of toxicity following radiotherapy (RT) for prostate cancer (PCa) and propose a new method for polygenic risk score incorporating SNP-SNP interactions (PRSi). MATERIALS AND METHODS Analysis included the REQUITE PCa cohort that received external beam RT and was followed for 2 years. Late toxicity endpoints were: rectal bleeding, urinary frequency, haematuria, nocturia, decreased urinary stream. Among 43 li...
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#1Tim Rattay (University of Leicester)H-Index: 9
#2Petra Seibold (DKFZ: German Cancer Research Center)H-Index: 27
Last. Sheryl GreenH-Index: 18
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Background: Acute skin toxicity is a common and usually transient side-effect of breast radiotherapy although, if sufficiently severe, it can affect breast cosmesis, aftercare costs and the patient's quality-of-life. The aim of this study was to develop predictive models for acute skin toxicity using published risk factors and externally validate the models in patients recruited into the prospective multi-center REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to red...
1 CitationsSource
#1Michela Carlotta Massi (Polytechnic University of Milan)H-Index: 2
#2Francesca Gasperoni (Medical Research Council)H-Index: 1
Last. Tiziana RancatiH-Index: 27
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Background: REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to reduce side effects and improve QUalITy of lifE in cancer survivors) is an international prospective cohort study. The purpose of this project was to analyse a cohort of patients recruited into REQUITE using a deep learning algorithm to identify patient-specific features associated with the development of toxicity, and test the approach by attempting to validate previously published genetic risk factors....
2 CitationsSource
#1Christopher J. Talbot (University of Leicester)H-Index: 21
#2Marlon R. Veldwijk (Heidelberg University)H-Index: 19
Last. Céline Bourgier (University of Montpellier)H-Index: 27
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Abstract Predicting which patients will develop adverse reactions to radiotherapy is important for personalised treatment. Prediction will require an algorithm or nomogram combining clinical and biological data. The radiation-induced lymphocyte apoptosis (RILA) assay is the leading candidate as a biological predictor of radiotherapy toxicity. In this study we tested the potential of the assay for standardisation and use in multiple testing laboratories. The assay was standardised and reproducibi...
4 CitationsSource
#1Petra Seibold (DKFZ: German Cancer Research Center)H-Index: 27
#2A Webb (University of Leicester)H-Index: 9
Last. William Li (The Queen's Medical Center)H-Index: 1
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Abstract Purpose REQUITE aimed to establish a resource for multi-national validation of models and biomarkers that predict risk of late toxicity following radiotherapy. The purpose of this article is to provide summary descriptive data. Methods An international, prospective cohort study recruited cancer patients in 26 hospitals in eight countries between April 2014 and March 2017. Target recruitment was 5300 patients. Eligible patients had breast, prostate or lung cancer and planned potentially ...
15 CitationsSource
#1Tim RattayH-Index: 9
#2Kerstie JohnsonH-Index: 2
Last. Christopher J. TalbotH-Index: 21
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#1Petra SeiboldH-Index: 27
#2Tiziana RancatiH-Index: 27
Last. Jenny Chang-ClaudeH-Index: 124
view all 14 authors...
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#1Tim Rattay (University of Leicester)H-Index: 9
#2Kerstie Johnson (University of Leicester)H-Index: 2
Last. Christopher J. Talbot (University of Leicester)H-Index: 21
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BackgroundClinically significant side-effects from radiotherapy affect around a quarter of breast cancer patients and may have a considerable impact on breast cosmesis and quality of life. If patients at high risk of radiation toxicity could be identified at breast cancer diagnosis, this could be taken into account when discussing treatment options. The aim of this study was to develop a predictive model for acute skin toxicity in patients undergoing breast radiotherapy.MethodsUsing multivariate...
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#1Tim RattayH-Index: 9
#2Kerstie JohnsonH-Index: 2
Last. Christopher J. TalbotH-Index: 21
view all 20 authors...
Clinically significant side-effects from radiotherapy affect around a quarter of breast cancer patients and may impact considerably on outcomes from treatment. An increasing number of replicated genetic associations for radiotherapy toxicity are being reported[1] ,[2] . The international REQUITE consortium aims to validate genetic markers and clinical factors implicated in radiotoxicity. The purpose of the REQUITE-AB project is to develop an integrated set of predictors for acute radiotherapy si...
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