Literature DB >> 19683821

Genetic variants and normal tissue toxicity after radiotherapy: a systematic review.

Christian Nicolaj Andreassen1, Jan Alsner.   

Abstract

During the last decade, nearly 60 studies have addressed possible associations between various genetic sequence alterations and risk of adverse reactions after radiotherapy. We report here an overview of these studies with information on the genetic variants, tumour type, number of patients included, the endpoint studied, the mechanism(s) by which the candidate genes are involved in the pathogenesis of normal tissue toxicity, and odds ratios (ORs) for candidate variants. Though many positive results have been reported, inconsistent findings and non-replication of previous results have frequently occurred. This can presumably be attributed to certain methodological shortcomings including lack of statistical power to detect small effect sizes. Based on theoretical considerations and experiences from other scientific fields, we discuss how future studies should be designed in order to successfully unravel the genetics of normal tissue radiosensitivity. We propose a model of the allelic architecture that may underlie differences in normal tissue radiosensitivity. Genome wide association studies have proven a powerful tool to identify novel loci that affect various phenotypes. Nonetheless, genome wide association studies are extremely demanding in terms of sample size. Furthermore, certain limitations still relate to this kind of studies, emphasizing the need for international consortia such as the ESTRO GENEPI.

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Year:  2009        PMID: 19683821     DOI: 10.1016/j.radonc.2009.06.015

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


  57 in total

1.  Radiation pharmacogenomics: a genome-wide association approach to identify radiation response biomarkers using human lymphoblastoid cell lines.

Authors:  Nifang Niu; Yuxin Qin; Brooke L Fridley; Junmei Hou; Krishna R Kalari; Minjia Zhu; Tse-Yu Wu; Gregory D Jenkins; Anthony Batzler; Liewei Wang
Journal:  Genome Res       Date:  2010-10-05       Impact factor: 9.043

2.  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

3.  Transcriptional Responses to Ultraviolet and Ionizing Radiation: An Approach Based on Graph Curvature.

Authors:  Yongxin Chen; Jung Hun Oh; Romeil Sandhu; Sangkyu Lee; Joseph O Deasy; Allen Tannenbaum
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2017-01-19

Review 4.  Effects of ionizing radiation on biological molecules--mechanisms of damage and emerging methods of detection.

Authors:  Julie A Reisz; Nidhi Bansal; Jiang Qian; Weiling Zhao; Cristina M Furdui
Journal:  Antioxid Redox Signal       Date:  2014-02-21       Impact factor: 8.401

5.  Targeting aberrant DNA double-strand break repair in triple-negative breast cancer with alpha-particle emitter radiolabeled anti-EGFR antibody.

Authors:  Hong Song; Mohammad Hedayati; Robert F Hobbs; Chunbo Shao; Frank Bruchertseifer; Alfred Morgenstern; Theodore L Deweese; George Sgouros
Journal:  Mol Cancer Ther       Date:  2013-07-19       Impact factor: 6.261

6.  Lack of toxicity in a patient with germline TP53 mutation treated with radiotherapy.

Authors:  P Wong; K Han
Journal:  Curr Oncol       Date:  2014-04       Impact factor: 3.677

7.  Molecular biomarkers in the decision of treatment of cervical carcinoma patients.

Authors:  A Valenciano; L A Henríquez-Hernández; M Lloret; B Pinar; P C Lara
Journal:  Clin Transl Oncol       Date:  2013-02-22       Impact factor: 3.405

8.  Compromized DNA repair as a basis for identification of cancer radiotherapy patients with extreme radiosensitivity.

Authors:  Pavel Lobachevsky; Trevor Leong; Patricia Daly; Jai Smith; Nickala Best; Jonathan Tomaszewski; Ella R Thompson; Na Li; Ian G Campbell; Roger F Martin; Olga A Martin
Journal:  Cancer Lett       Date:  2016-09-28       Impact factor: 8.679

Review 9.  Translational and basic science opportunities in palliative care and radiation oncology.

Authors:  Mai Anh Huynh; Alexander Spektor
Journal:  Ann Palliat Med       Date:  2019-07

10.  Genome wide screen identifies microsatellite markers associated with acute adverse effects following radiotherapy in cancer patients.

Authors:  Yuichi Michikawa; Tomo Suga; Atsuko Ishikawa; Hideki Hayashi; Akira Oka; Hidetoshi Inoko; Mayumi Iwakawa; Takashi Imai
Journal:  BMC Med Genet       Date:  2010-08-11       Impact factor: 2.103

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