Literature DB >> 23199655

Individual patient data meta-analysis shows no association between the SNP rs1800469 in TGFB and late radiotherapy toxicity.

Gillian C Barnett1, 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.   

Abstract

BACKGROUND AND
PURPOSE: Reported associations between risk of radiation-induced normal tissue injury and single nucleotide polymorphisms (SNPs) in TGFB1, encoding the pro-fibrotic cytokine transforming growth factor-beta 1 (TGF-β1), remain controversial. To overcome publication bias, the international Radiogenomics Consortium collected and analysed individual patient level data from both published and unpublished studies.
MATERIALS AND METHODS: TGFB1 SNP rs1800469 c.-1347T>C (previously known as C-509T) genotype, treatment-related data, and clinically-assessed fibrosis (measured at least 2years after therapy) were available in 2782 participants from 11 cohorts. All received adjuvant breast radiotherapy. Associations between late fibrosis or overall toxicity, reported by STAT (Standardised Total Average Toxicity) score, and rs1800469 genotype were assessed.
RESULTS: No statistically significant associations between either fibrosis or overall toxicity and rs1800469 genotype were observed with univariate or multivariate regression analysis. The multivariate odds ratio (OR), obtained from meta-analysis, for an increase in late fibrosis grade with each additional rare allele of rs1800469 was 0.98 (95% Confidence Interval (CI) 0.85-1.11). This CI is sufficiently narrow to rule out any clinically relevant effect on toxicity risk in carriers vs. non-carriers with a high probability.
CONCLUSION: This meta-analysis has not confirmed previous reports of association between fibrosis or overall toxicity and rs1800469 genotype in breast cancer patients. It has demonstrated successful collaboration within the Radiogenomics Consortium.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 23199655      PMCID: PMC3593101          DOI: 10.1016/j.radonc.2012.10.017

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  22 in total

1.  Test of association between variant tgβ1 alleles and late adverse effects of breast radiotherapy.

Authors:  Susan Martin; Mark Sydenham; Joanne Haviland; Roger A'Hern; Roger Owen; Judith Bliss; John Yarnold
Journal:  Radiother Oncol       Date:  2010-10       Impact factor: 6.280

2.  Establishment of a Radiogenomics Consortium.

Authors:  Catharine West; Barry S Rosenstein; Jan Alsner; David Azria; Gillian Barnett; Adrian Begg; Søren Bentzen; Neil Burnet; Jenny Chang-Claude; Eric Chuang; Charlotte Coles; Kim De Ruyck; Dirk De Ruysscher; Alison Dunning; Rebecca Elliott; Laura Fachal; Janet Hall; Karin Haustermans; Carsten Herskind; Tobias Hoelscher; Takashi Imai; Mayumi Iwakawa; Don Jones; Cecilia Kulich; Jan-Hans Langendijk; Peter O'Neils; Mahmut Ozsahin; Matthew Parliament; Andrzej Polanski; Barry Rosenstein; Daniela Seminara; Paul Symonds; Chris Talbot; Hubert Thierens; Ana Vega; Catherine West; John Yarnold
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-04       Impact factor: 7.038

3.  TGFB1 polymorphisms are associated with risk of late normal tissue complications in the breast after radiotherapy for early breast cancer.

Authors:  Christian Nicolaj Andreassen; Jan Alsner; Jens Overgaard; Carsten Herskind; Jo Haviland; Roger Owen; Janis Homewood; Judith Bliss; John Yarnold
Journal:  Radiother Oncol       Date:  2005-04       Impact factor: 6.280

Review 4.  Preventing or reducing late side effects of radiation therapy: radiobiology meets molecular pathology.

Authors:  Søren M Bentzen
Journal:  Nat Rev Cancer       Date:  2006-09       Impact factor: 60.716

5.  Possession of ATM sequence variants as predictor for late normal tissue responses in breast cancer patients treated with radiotherapy.

Authors:  Alice Y Ho; Grace Fan; David P Atencio; Sheryl Green; Silvia C Formenti; Bruce G Haffty; Preetha Iyengar; Jonine L Bernstein; Richard G Stock; Jamie A Cesaretti; Barry S Rosenstein
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-05-22       Impact factor: 7.038

6.  Patient-to-Patient Variability in the Expression of Radiation-Induced Normal Tissue Injury.

Authors: 
Journal:  Semin Radiat Oncol       Date:  1994-04       Impact factor: 5.934

7.  Prediction of normal tissue radiosensitivity from polymorphisms in candidate genes.

Authors:  Christian Nicolaj Andreassen; Jan Alsner; Marie Overgaard; Jens Overgaard
Journal:  Radiother Oncol       Date:  2003-11       Impact factor: 6.280

8.  Standardized Total Average Toxicity score: a scale- and grade-independent measure of late radiotherapy toxicity to facilitate pooling of data from different studies.

Authors:  Gillian C Barnett; Catharine M L West; Charlotte E Coles; Paul D P Pharoah; Christopher J Talbot; Rebecca M Elliott; George A Tanteles; R Paul Symonds; Jennifer S Wilkinson; Alison M Dunning; Neil G Burnet; Søren M Bentzen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-05-24       Impact factor: 7.038

9.  Independent validation of genes and polymorphisms reported to be associated with radiation toxicity: a prospective analysis study.

Authors:  Gillian C Barnett; Charlotte E Coles; Rebecca M Elliott; Caroline Baynes; Craig Luccarini; Don Conroy; Jennifer S Wilkinson; Jonathan Tyrer; Vivek Misra; Radka Platte; Sarah L Gulliford; Matthew R Sydes; Emma Hall; Søren M Bentzen; David P Dearnaley; Neil G Burnet; Paul D P Pharoah; Alison M Dunning; Catharine M L West
Journal:  Lancet Oncol       Date:  2011-12-12       Impact factor: 41.316

10.  A replicated association between polymorphisms near TNFα and risk for adverse reactions to radiotherapy.

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

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  19 in total

1.  Association between SNPs in defined functional pathways and risk of early or late toxicity as well as individual radiosensitivity.

Authors:  Sebastian Reuther; Silke Szymczak; Annette Raabe; Kerstin Borgmann; Andreas Ziegler; Cordula Petersen; Ekkehard Dikomey; Ulrike Hoeller
Journal:  Strahlenther Onkol       Date:  2014-08-26       Impact factor: 3.621

Review 2.  Radiogenomics: using genetics to identify cancer patients at risk for development of adverse effects following radiotherapy.

Authors:  Sarah L Kerns; Harry Ostrer; Barry S Rosenstein
Journal:  Cancer Discov       Date:  2014-01-17       Impact factor: 39.397

3.  Radiation-Induced Fibrosis: Mechanisms and Opportunities to Mitigate. Report of an NCI Workshop, September 19, 2016.

Authors:  Deborah E Citrin; Pataje G S Prasanna; Amanda J Walker; Michael L Freeman; Iris Eke; Mary Helen Barcellos-Hoff; Molykutty J Arankalayil; Eric P Cohen; Ruth C Wilkins; Mansoor M Ahmed; Mitchell S Anscher; Benjamin Movsas; Jeffrey C Buchsbaum; Marc S Mendonca; Thomas A Wynn; C Norman Coleman
Journal:  Radiat Res       Date:  2017-05-10       Impact factor: 2.841

4.  Individual patient data meta-analysis shows a significant association between the ATM rs1801516 SNP and toxicity after radiotherapy in 5456 breast and prostate cancer patients.

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

Review 5.  Irinotecan-induced toxicity pharmacogenetics: an umbrella review of systematic reviews and meta-analyses.

Authors:  J M Campbell; M D Stephenson; E Bateman; M D J Peters; D M Keefe; J M Bowen
Journal:  Pharmacogenomics J       Date:  2016-08-09       Impact factor: 3.550

Review 6.  Radiogenomics: A systems biology approach to understanding genetic risk factors for radiotherapy toxicity?

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

7.  A Preliminary Study on Racial Differences in HMOX1, NFE2L2, and TGFβ1 Gene Polymorphisms and Radiation-Induced Late Normal Tissue Toxicity.

Authors:  Asim Alam; Nitai D Mukhopadhyay; Yi Ning; Leonid B Reshko; Robert J G Cardnell; Omair Alam; Christopher S Rabender; Vasily A Yakovlev; Linda Walker; Mitchell S Anscher; Ross B Mikkelsen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-06-06       Impact factor: 7.038

8.  A polymorphism in the DNA repair domain of APEX1 is associated with the radiation-induced pneumonitis risk among lung cancer patients after radiotherapy.

Authors:  H Li; G Liu; L Xia; Q Zhou; J Xiong; J Xian; M Du; L Zhang; L Liao; X Su; Z Li; Q Luo; Y Cheng; T Zhang; D Wang; Z-Z Yang
Journal:  Br J Radiol       Date:  2014-06-02       Impact factor: 3.039

9.  Transforming growth factor β-1 (TGF-β1) is a serum biomarker of radiation induced fibrosis in patients treated with intracavitary accelerated partial breast irradiation: preliminary results of a prospective study.

Authors:  Dustin L Boothe; Shana Coplowitz; Eleni Greenwood; Christian L Barney; Paul J Christos; Bhupesh Parashar; Dattatreyudu Nori; K S Clifford Chao; A Gabriella Wernicke
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-10-16       Impact factor: 7.038

Review 10.  Genomics models in radiotherapy: From mechanistic to machine learning.

Authors:  John Kang; James T Coates; Robert L Strawderman; Barry S Rosenstein; Sarah L Kerns
Journal:  Med Phys       Date:  2020-06       Impact factor: 4.071

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