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Despite the common application of radiotherapy in cancer treatment, the prediction of radiosensitivity and treatment response has not yet entered the era of precision medicine. Therefore, development of genome-based methods for predicting radiosensitivity and treatment response is a central goal of radiation oncology. In the previous study, the investigators have identified a set of novel potential biomarkers associated with radiosensitivity and recurrence,through correlating patients' genomic profiles with toxicity, disease progression and overall survival after RT.
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Researchers have long recognized that individual differences in sensitivity to radiation are caused by genetic variations and implicated multiple key pathways that might explain radiation toxicity. Normal tissue toxicity is a complex trait that involves the combined effect of a multitude of genes and pathways, and also dynamic interactions with the evolving cancer genome. The effect size of any individual factor is likely small. As a consequence, candidate gene approach and genome-wide association studies rarely lead to the identification of genetic determinants of radiation toxicity. Targeted next-generation sequencing (NGS), on the other hand, has become increasingly routine in the clinic and would allow simultaneous assessment of multiple genetic alterations.
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600 participants in 6 patient groups
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Shuanghu Yuan Ph.D; Yong M Shao, Ph.D
Data sourced from clinicaltrials.gov
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