Faculty of Health Sciences, The National University of Malaysia, Jalan Raja Muda Aziz, 50300, Kuala Lumpur, Malaysia.
Radiology Department, The National University of Malaysia, Kuala Lumpur, Malaysia.
Strahlenther Onkol. 2018 Aug;194(8):780-786. doi: 10.1007/s00066-018-1303-5. Epub 2018 May 17.
This systematic review evaluates the completeness of dosimetric features and their inclusion as covariates in genetic-toxicity association studies.
Original research studies associating genetic features and normal tissue complications following radiotherapy were identified from PubMed. The use of dosimetric data was determined by mining the statement of prescription dose, dose fractionation, target volume selection or arrangement and dose distribution. The consideration of the dosimetric data as covariates was based on the statement mentioned in the statistical analysis section. The significance of these covariates was extracted from the results section. Descriptive analyses were performed to determine their completeness and inclusion as covariates.
A total of 174 studies were found to satisfy the inclusion criteria. Studies published ≥2010 showed increased use of dose distribution information (p = 0.07). 33% of studies did not include any dose features in the analysis of gene-toxicity associations. Only 29% included dose distribution features as covariates and reported the results. 59% of studies which included dose distribution features found significant associations to toxicity.
A large proportion of studies on the correlation of genetic markers with radiotherapy-related side effects considered no dosimetric parameters. Significance of dose distribution features was found in more than half of the studies including these features, emphasizing their importance. Completeness of radiation-specific clinical data may have increased in recent years which may improve gene-toxicity association studies.
本系统评价评估了遗传毒性相关性研究中剂量学特征的完整性及其作为协变量的纳入情况。
从 PubMed 中确定了与放疗后遗传特征和正常组织并发症相关的原始研究。通过挖掘处方剂量、剂量分割、靶区选择或排列以及剂量分布的说明来确定是否使用剂量学数据。将剂量学数据作为协变量考虑的依据是基于统计分析部分中的说明。从结果部分提取这些协变量的显著性。进行描述性分析以确定其完整性和作为协变量的纳入情况。
共发现 174 项符合纳入标准的研究。发表于≥2010 年的研究显示,剂量分布信息的使用有所增加(p=0.07)。33%的研究在基因毒性相关性分析中未包括任何剂量特征。只有 29%的研究将剂量分布特征作为协变量并报告了结果。59%的包括剂量分布特征的研究发现与毒性之间存在显著相关性。
很大一部分关于遗传标记与放疗相关副作用相关性的研究未考虑剂量学参数。在纳入这些特征的研究中,超过一半的研究发现剂量分布特征具有显著性,强调了其重要性。近年来,与放射相关的临床数据的完整性可能有所提高,这可能会改善基因毒性相关性研究。