Department of Population Sciences, City of Hope, Duarte, CA 91010-3000, USA.
Cancer Epidemiol Biomarkers Prev. 2011 Oct;20(10):2048-67. doi: 10.1158/1055-9965.EPI-11-0659.
Clear and unambiguous associations have been established between therapeutic exposures and specific complications. However, considerable interindividual variability is observed in the risk of developing an outcome for a given therapeutic exposure. Genetic predisposition and especially its interaction with therapeutic exposures can potentially exacerbate the toxic effect of treatment on normal tissues and organ systems, and can possibly explain the interindividual variability. This article provides a brief overview of the current knowledge about the role of genomic variation in the development of therapy-related complications. Relatively common outcomes with strong associations with therapeutic exposures, including cardiomyopathy, obesity, osteonecrosis, ototoxicity, and subsequent malignancies are discussed here. To develop a deeper understanding of the molecular underpinnings of therapy-related complications, comprehensive and near-complete collection of clinically annotated samples is critical. Methodologic issues such as study design, definition of the endpoints or phenotypes, identification of appropriate and adequately sized study population together with a reliable plan for collecting and maintaining high-quality DNA, and selection of an appropriate approach or platform for genotyping are also discussed. Understanding the etiopathogenetic pathways that lead to the morbidity is critical to developing targeted prevention and intervention strategies, optimizing risk-based health care of cancer survivors, thus minimizing chronic morbidities and improving quality of life.
已经明确建立了治疗暴露与特定并发症之间的明确关联。然而,在给定治疗暴露下发生某种结果的风险存在相当大的个体间差异。遗传易感性,特别是其与治疗暴露的相互作用,可能会加剧治疗对正常组织和器官系统的毒性作用,并可能解释个体间的差异。本文简要概述了基因组变异在治疗相关并发症发展中的作用的现有知识。本文讨论了与治疗暴露具有强关联的相对常见的结局,包括心肌病、肥胖症、骨坏死、耳毒性和随后的恶性肿瘤。为了更深入地了解治疗相关并发症的分子基础,关键是要全面且近乎完整地收集具有临床注释的样本。还讨论了方法学问题,如研究设计、终点或表型的定义、确定适当和足够大小的研究人群,以及制定可靠的收集和维护高质量 DNA 的计划,以及选择适当的方法或平台进行基因分型。了解导致发病率的病因发病途径对于制定针对性的预防和干预策略至关重要,优化癌症幸存者的基于风险的医疗保健,从而最大限度地减少慢性发病和提高生活质量。