Literature DB >> 18314067

Genetic markers for prediction of normal tissue toxicity after radiotherapy.

Jan Alsner1, Christian Nicolaj Andreassen, Jens Overgaard.   

Abstract

During the last decade, a number of studies have supported the hypothesis that there is an important genetic component to the observed interpatient variability in normal tissue toxicity after radiotherapy. This review summarizes the candidate gene association studies published so far on the risk of radiation-induced morbidity and highlights some recent successful whole-genome association studies showing feasibility in other research areas. Future genetic association studies are discussed in relation to methodological problems such as the characterization of clinical and biological phenotypes, genetic haplotypes, and handling of confounding factors. Finally, candidate gene studies elucidating the genetic component of radiation-induced morbidity and the functional consequences of single nucleotide polymorphisms by studying intermediate phenotypes will be discussed.

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Year:  2008        PMID: 18314067     DOI: 10.1016/j.semradonc.2007.10.004

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  31 in total

1.  Predicting toxicity from radiation therapy--it's genetic, right?

Authors:  Chris R Kelsey; Barry S Rosenstein; Lawrence B Marks
Journal:  Cancer       Date:  2011-12-05       Impact factor: 6.860

Review 2.  Biomarkers and surrogate endpoints for normal-tissue effects of radiation therapy: the importance of dose-volume effects.

Authors:  Søren M Bentzen; Matthew Parliament; Joseph O Deasy; Adam Dicker; Walter J Curran; Jacqueline P Williams; Barry S Rosenstein
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

3.  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 4.  New challenges in high-energy particle radiobiology.

Authors:  M Durante
Journal:  Br J Radiol       Date:  2014-03       Impact factor: 3.039

Review 5.  The role of intensity modulated radiotherapy in gynecological radiotherapy: Present and future.

Authors:  Ana Fernandez-Ots; Juanita Crook
Journal:  Rep Pract Oncol Radiother       Date:  2013-10-03

Review 6.  Expanding the therapeutic index of radiation therapy by normal tissue protection.

Authors:  Pierre Montay-Gruel; Lydia Meziani; Chakradhar Yakkala; Marie-Catherine Vozenin
Journal:  Br J Radiol       Date:  2018-07-02       Impact factor: 3.039

7.  The p53 R72P polymorphism does not affect the physiological response to ionizing radiation in a mouse model.

Authors:  Emily R Domínguez; Jennifer Orona; Kevin Lin; Carlos J Pérez; Fernando Benavides; Donna F Kusewitt; David G Johnson
Journal:  Cell Cycle       Date:  2017-06-08       Impact factor: 4.534

8.  H2AX phosphorylation screen of cells from radiosensitive cancer patients reveals a novel DNA double-strand break repair cellular phenotype.

Authors:  R S Vasireddy; C N Sprung; N L Cempaka; M Chao; M J McKay
Journal:  Br J Cancer       Date:  2010-05-11       Impact factor: 7.640

9.  Analysis of single nucleotide polymorphisms and radiation sensitivity of the lung assessed with an objective radiologic endpoin.

Authors:  Chris R Kelsey; Isabel L Jackson; Scott Langdon; Kouros Owzar; Jessica Hubbs; Zeljko Vujaskovic; Shiva Das; Lawrence B Marks
Journal:  Clin Lung Cancer       Date:  2013-01-10       Impact factor: 4.785

Review 10.  Biologically conformal treatment: biomarkers and functional imaging in radiation oncology.

Authors:  Yaacov Richard Lawrence; Maria Werner-Wasik; Adam P Dicker
Journal:  Future Oncol       Date:  2008-10       Impact factor: 3.404

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