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首页> 外文期刊>Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology >Genetic variants and normal tissue toxicity after radiotherapy: a systematic review.
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Genetic variants and normal tissue toxicity after radiotherapy: a systematic review.

机译:放射治疗后的遗传变异和正常组织毒性:系统评价。

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摘要

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.
机译:在过去的十年中,近60项研究已经探讨了各种基因序列改变与放疗后不良反应风险之间的可能联系。我们在此报告这些研究的概述,并提供有关遗传变异,肿瘤类型,包括的患者人数,研究的终点,候选基因参与正常组织毒性的发病机理的机制以及比值比的信息(OR)候选变体。尽管已经报告了许多积极的结果,但是经常出现不一致的发现和以前的结果不重复的情况。据推测,这可能归因于某些方法学缺陷,包括缺乏检测小效应量的统计能力。基于理论上的考虑和其他科学领域的经验,我们讨论了应如何设计未来的研究,以成功阐明正常组织放射敏感性的遗传学。我们提出了一个等位基因结构模型,该模型可能是正常组织放射敏感性差异的基础。基因组范围的关联研究已被证明是一种强大的工具,可以识别影响各种表型的新型基因座。然而,就样本量而言,全基因组关联研究极为苛刻。此外,此类研究仍存在某些局限性,强调了对国际财团(如ESTRO GENEPI)的需求。

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