PURPOSE: The search for clinical and biologic biomarkers associated with late radiotherapy toxicity is hindered by the use of multiple and different endpoints from a variety of scoring systems, hampering comparisons across studies and pooling of data. We propose a novel metric, the Standardized Total Average Toxicity (STAT) score, to try to overcome these difficulties. METHODS AND MATERIALS: STAT scores were derived for 1010 patients from the Cambridge breast intensity-modulated radiotherapy trial and 493 women from the University Hospitals of Leicester. The sensitivity of the STAT score to detect differences between patient groups, stratified by factors known to influence late toxicity, was compared with that of individual endpoints. Analysis of residuals was used to quantify the effect of these covariates. RESULTS: In the Cambridge cohort, STAT scores detected differences (p < 0.00005) between patients attributable to breast volume, surgical specimen weight, dosimetry, acute toxicity, radiation boost to tumor bed, postoperative infection, and smoking (p < 0.0002), with no loss of sensitivity over individual toxicity endpoints. Diabetes (p = 0.017), poor postoperative surgical cosmesis (p = 0.0036), use of chemotherapy (p = 0.0054), and increasing age (p = 0.041) were also associated with increased STAT score. When the Cambridge and Leicester datasets were combined, STAT was associated with smoking status (p < 0.00005), diabetes (p = 0.041), chemotherapy (p = 0.0008), and radiotherapy boost (p = 0.0001). STAT was independent of the toxicity scale used and was able to deal with missing data. There were correlations between residuals of the STAT score obtained using different toxicity scales (r > 0.86, p < 0.00005 for both datasets). CONCLUSIONS: The STAT score may be used to facilitate the analysis of overall late radiation toxicity, from multiple trials or centers, in studies of possible genetic and nongenetic determinants of radiotherapy toxicity.
PURPOSE: The search for clinical and biologic biomarkers associated with late radiotherapy toxicity is hindered by the use of multiple and different endpoints from a variety of scoring systems, hampering comparisons across studies and pooling of data. We propose a novel metric, the Standardized Total Average Toxicity (STAT) score, to try to overcome these difficulties. METHODS AND MATERIALS: STAT scores were derived for 1010 patients from the Cambridge breast intensity-modulated radiotherapy trial and 493 women from the University Hospitals of Leicester. The sensitivity of the STAT score to detect differences between patient groups, stratified by factors known to influence late toxicity, was compared with that of individual endpoints. Analysis of residuals was used to quantify the effect of these covariates. RESULTS: In the Cambridge cohort, STAT scores detected differences (p < 0.00005) between patients attributable to breast volume, surgical specimen weight, dosimetry, acute toxicity, radiation boost to tumor bed, postoperative infection, and smoking (p < 0.0002), with no loss of sensitivity over individual toxicity endpoints. Diabetes (p = 0.017), poor postoperative surgical cosmesis (p = 0.0036), use of chemotherapy (p = 0.0054), and increasing age (p = 0.041) were also associated with increased STAT score. When the Cambridge and Leicester datasets were combined, STAT was associated with smoking status (p < 0.00005), diabetes (p = 0.041), chemotherapy (p = 0.0008), and radiotherapy boost (p = 0.0001). STAT was independent of the toxicity scale used and was able to deal with missing data. There were correlations between residuals of the STAT score obtained using different toxicity scales (r > 0.86, p < 0.00005 for both datasets). CONCLUSIONS: The STAT score may be used to facilitate the analysis of overall late radiation toxicity, from multiple trials or centers, in studies of possible genetic and nongenetic determinants of radiotherapy toxicity.
Authors: Christian Nicolaj Andreassen; Barry S Rosenstein; Sarah L Kerns; Harry Ostrer; Dirk De Ruysscher; Jamie A Cesaretti; Gillian C Barnett; Alison M Dunning; Leila Dorling; Catharine M L West; Neil G Burnet; Rebecca Elliott; Charlotte Coles; Emma Hall; Laura Fachal; Ana Vega; Antonio Gómez-Caamaño; Christopher J Talbot; R Paul Symonds; Kim De Ruyck; Hubert Thierens; Piet Ost; Jenny Chang-Claude; Petra Seibold; Odilia Popanda; Marie Overgaard; David Dearnaley; Matthew R Sydes; David Azria; Christine Anne Koch; Matthew Parliament; Michael Blackshaw; Michael Sia; Maria J Fuentes-Raspall; Teresa Ramon Y Cajal; Agustin Barnadas; Danny Vesprini; Sara Gutiérrez-Enríquez; Meritxell Mollà; Orland Díez; John R Yarnold; Jens Overgaard; Søren M Bentzen; Jan Alsner Journal: Radiother Oncol Date: 2016-07-18 Impact factor: 6.280
Authors: Carsten Herskind; Christopher J Talbot; Sarah L Kerns; Marlon R Veldwijk; Barry S Rosenstein; Catharine M L West Journal: Cancer Lett Date: 2016-03-02 Impact factor: 8.679
Authors: Gillian C Barnett; Rebecca M Elliott; Jan Alsner; Christian N Andreassen; Osama Abdelhay; Neil G Burnet; Jenny Chang-Claude; Charlotte E Coles; Sara Gutiérrez-Enríquez; Maria J Fuentes-Raspall; Maria C Alonso-Muñoz; Sarah Kerns; Annette Raabe; R Paul Symonds; Petra Seibold; Chris J Talbot; Frederik Wenz; Jennifer Wilkinson; John Yarnold; Alison M Dunning; Barry S Rosenstein; Catharine M L West; Søren M Bentzen Journal: Radiother Oncol Date: 2012-11-28 Impact factor: 6.280
Authors: Leila Dorling; Gillian C Barnett; Kyriaki Michailidou; Charlotte E Coles; Neil G Burnet; John Yarnold; Rebecca M Elliott; Alison M Dunning; Paul D P Pharoah; Catharine M West Journal: Clin Cancer Res Date: 2015-10-28 Impact factor: 12.531
Authors: Laura Fachal; Antonio Gómez-Caamaño; Gillian C Barnett; Paula Peleteiro; Ana M Carballo; Patricia Calvo-Crespo; Sarah L Kerns; Manuel Sánchez-García; Ramón Lobato-Busto; Leila Dorling; Rebecca M Elliott; David P Dearnaley; Matthew R Sydes; Emma Hall; Neil G Burnet; Ángel Carracedo; Barry S Rosenstein; Catharine M L West; Alison M Dunning; Ana Vega Journal: Nat Genet Date: 2014-06-29 Impact factor: 38.330
Authors: C J Talbot; G A Tanteles; G C Barnett; N G Burnet; J Chang-Claude; C E Coles; S Davidson; A M Dunning; J Mills; R J S Murray; O Popanda; P Seibold; C M L West; J R Yarnold; R P Symonds Journal: Br J Cancer Date: 2012-07-05 Impact factor: 7.640
Authors: Mahbubl Ahmed; Leila Dorling; Sarah Kerns; Laura Fachal; Rebecca Elliott; Matt Partliament; Barry S Rosenstein; Ana Vega; Antonio Gómez-Caamaño; Gill Barnett; David P Dearnaley; Emma Hall; Matt Sydes; Neil Burnet; Paul D P Pharoah; Ros Eeles; Catharine M L West Journal: Br J Cancer Date: 2016-04-12 Impact factor: 7.640