Abstract
Cancer patients vary considerably in their normal tissue response to radiation therapy. If this variation could be taken into account in the treatment planning phase, the therapeutic strategy could be individualized accordingly. Therefore, the ability to predict individual normal tissue radiosensitivity has been a long sought goal in radiobiology. Initially, interest was taken in predictive assays based on the cellular or subcellular response to irradiation in vitro. More recently, the attempts have focused on possible associations between various types of genetic sequence variation and the risk of adverse reactions to radiation therapy. Many of these studies have been hampered by certain methodological shortcomings and so far no clinically applicable predictive assay has been developed. Nevertheless, recent advances in high-throughput genotyping, bioinformatics, and the formation of collaborative research groups provide unprecedented opportunities to investigate the molecular and genetic factors underlying interindividual differences in normal tissue complication risk.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barnett GC, West CM, Dunning AM, Elliott RM, Coles CE, Pharoah PD, Burnet NG. Normal tissue reactions to radiotherapy: towards tailoring treatment dose by genotype. Nat Rev Cancer. 2009;9(2):134–42.
West CM, Barnett GC. Genetics and genomics of radiotherapy toxicity: towards prediction. Genome Med. 2011;3(8):52.
Safwat A, Bentzen SM, Turesson I, Hendry JH. Deterministic rather than stochastic factors explain most of the variation in the expression of skin telangiectasia after radiotherapy. Int J Radiat Oncol Biol Phys. 2002;52(1):198–204.
Andreassen CN. Searching for genetic determinants of normal tissue radiosensitivity—are we on the right track? Radiother Oncol. 2010;97(1):1–8.
Bentzen SM. From cellular to high-throughput predictive assays in radiation oncology: challenges and opportunities. Semin Radiat Oncol. 2008;18(2):75–88.
Ozsahin M, Crompton NE, Gourgou S, Kramar A, Li L, Shi Y, Sozzi WJ, Zouhair A, Mirimanoff RO, Azria D. CD4 and CD8 T-lymphocyte apoptosis can predict radiation-induced late toxicity: a prospective study in 399 patients. Clin Cancer Res. 2005;11(20):7426–33.
Andreassen CN. Can risk of radiotherapy-induced normal tissue complications be predicted from genetic profiles? Acta Oncol. 2005;44(8):801–15.
Altshuler D, Daly MJ, Lander ES. Genetic mapping in human disease. Science. 2008; 322(5903):881–8.
Bentzen SM. Preventing or reducing late side effects of radiation therapy: radiobiology meets molecular pathology. Nat Rev Cancer. 2006;6(9):702–13.
Bentzen SM, Overgaard M. Relationship between early and late normal-tissue injury after postmastectomy radiotherapy. Radiother Oncol. 1991;20(3):159–65.
Bentzen SM, Overgaard M, Overgaard J. Clinical correlations between late normal tissue endpoints after radiotherapy: implications for predictive assays of radiosensitivity. Eur J Cancer. 1993;29A(10):1373–6.
Sonis ST. Oral mucositis. Anticancer Drugs. 2011;22(7):607–12.
Andreassen CN, Alsner J. Genetic variants and normal tissue toxicity after radiotherapy: a systematic review. Radiother Oncol. 2009;92(3):299–309.
Giotopoulos G, Symonds RP, Foweraker K, Griffin M, Peat I, Osman A, Plumb M. The late radiotherapy normal tissue injury phenotypes of telangiectasia, fibrosis and atrophy in breast cancer patients have distinct genotype-dependent causes. Br J Cancer. 2007;96(6):1001–7.
Barnett GC, Coles CE, Burnet NG, Pharoah PD, Wilkinson J, West CM, Elliott RM, Baynes C, Dunning AM. No association between SNPs regulating TGF-β1 secretion and late radiotherapy toxicity to the breast: results from the RAPPER study. Radiother Oncol. 2010;97(1):9–14.
Kerns SL, Ostrer H, Stock R, Li W, Moore J, Pearlman A, Campbell C, Shao Y, Stone N, Kusnetz L, Rosenstein BS. Genome-wide association study to identify single nucleotide polymorphisms (SNPs) associated with the development of erectile dysfunction in African-American men after radiotherapy for prostate cancer. Int J Radiat Oncol Biol Phys. 2010;78(5):1292–300.
Juran BD, Lazaridis KN. Genomics in the post-GWAS era. Semin Liver Dis. 2011;31(2): 215–22.
Mayer C, Popanda O, Greve B, Fritz E, Illig T, Eckardt-Schupp F, Gomolka M, Benner A, Schmezer P. A radiation-induced gene expression signature as a tool to predict acute radiotherapy-induced adverse side effects. Cancer Lett. 2011;302(1):20–8.
Sonis S, Haddad R, Posner M, Watkins B, Fey E, Morgan TV, Mookanamparambil L, Ramoni M. Gene expression changes in peripheral blood cells provide insight into the biological mechanisms associated with regimen-related toxicities in patients being treated for head and neck cancers. Oral Oncol. 2007;43(3):289–300.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Andreassen, C.N. (2013). The Biological Basis for Differences in Normal Tissue Response to Radiation Therapy and Strategies to Establish Predictive Assays for Individual Complication Risk. In: Sonis, S., Keefe, D. (eds) Pathobiology of Cancer Regimen-Related Toxicities. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5438-0_2
Download citation
DOI: https://doi.org/10.1007/978-1-4614-5438-0_2
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-5437-3
Online ISBN: 978-1-4614-5438-0
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)