Mapes Brandon, El Charif Omar, Al-Sawwaf Shereen, Dolan M Eileen
Department of Medicine, University of Chicago, Chicago, Illinois.
Clin Cancer Res. 2017 Aug 1;23(15):4010-4019. doi: 10.1158/1078-0432.CCR-17-0429. Epub 2017 Apr 25.
With an estimated global population of cancer survivors exceeding 32 million and growing, there is a heightened awareness of the long-term toxicities resulting from cancer treatments and their impact on quality of life. Unexplained heterogeneity in the persistence and development of toxicities, as well as an incomplete understanding of their mechanisms, have generated a growing need for the identification of predictive pharmacogenomic markers. Early studies addressing this need used a candidate gene approach; however, over the last decade, unbiased and comprehensive genome-wide association studies (GWAS) have provided markers of phenotypic risk and potential targets to explore the mechanistic and regulatory pathways of biological functions associated with chemotherapeutic toxicity. In this review, we provide the current status of GWAS of chemotherapeutic toxicities with an emphasis on examining the ancestral diversity of the representative cohorts within these studies. Persistent calls to incorporate both ancestrally diverse and/or admixed populations into genomic efforts resulted in a recent rise in the number of studies utilizing cohorts of East Asian descent; however, few pharmacogenomic studies to date include cohorts of African, Indigenous American, Southwest Asian, and admixed populations. Through comprehensively evaluating sample size, composition by ancestry, genome-wide significant variants, and population-specific minor allele frequencies as reported by HapMap/dbSNP using NCBI PubMed and the NHGRI-EBI GWAS Catalog, we illustrate how allele frequencies and effect sizes tend to vary among individuals of differing ancestries. In an era of personalized medicine, the lack of diversity in genome-wide studies of anticancer agent toxicity may contribute to the health disparity gap. .
据估计,全球癌症幸存者人数超过3200万且仍在增加,人们越来越意识到癌症治疗产生的长期毒性及其对生活质量的影响。毒性的持续存在和发展中存在无法解释的异质性,以及对其机制的不完全理解,使得对预测性药物基因组学标志物的识别需求日益增长。早期满足这一需求的研究采用候选基因方法;然而,在过去十年中,无偏倚且全面的全基因组关联研究(GWAS)提供了表型风险标志物和潜在靶点,以探索与化疗毒性相关的生物学功能的机制和调控途径。在本综述中,我们介绍了化疗毒性GWAS的现状,重点是研究这些研究中代表性队列的祖先多样性。一直有人呼吁将祖先多样化和/或混合人群纳入基因组研究,这导致最近利用东亚血统队列的研究数量有所增加;然而,迄今为止,很少有药物基因组学研究纳入非洲、美洲原住民、西南亚和混合人群队列。通过使用NCBI PubMed和NHGRI-EBI GWAS目录全面评估样本量、祖先组成、全基因组显著变异以及HapMap/dbSNP报告的人群特异性次要等位基因频率,我们说明了等位基因频率和效应大小如何在不同祖先的个体之间变化。在个性化医疗时代,抗癌药物毒性全基因组研究缺乏多样性可能会加剧健康差距。