King Elizabeth G, Kislukhin Galina, Walters Kelli N, Long Anthony D
University of California, Department of Ecology and Evolutionary Biology, Irvine, California 92697-2525
University of California, Department of Ecology and Evolutionary Biology, Irvine, California 92697-2525.
Genetics. 2014 Sep;198(1):31-43. doi: 10.1534/genetics.114.161968.
The severity of the toxic side effects of chemotherapy shows a great deal of interindividual variability, and much of this variation is likely genetically based. Simple DNA tests predictive of toxic side effects could revolutionize the way chemotherapy is carried out. Due to the challenges in identifying polymorphisms that affect toxicity in humans, we use Drosophila fecundity following oral exposure to carboplatin, gemcitabine and mitomycin C as a model system to identify naturally occurring DNA variants predictive of toxicity. We use the Drosophila Synthetic Population Resource (DSPR), a panel of recombinant inbred lines derived from a multiparent advanced intercross, to map quantitative trait loci affecting chemotoxicity. We identify two QTL each for carboplatin and gemcitabine toxicity and none for mitomycin. One QTL is associated with fly orthologs of a priori human carboplatin candidate genes ABCC2 and MSH2, and a second QTL is associated with fly orthologs of human gemcitabine candidate genes RRM2 and RRM2B. The third, a carboplatin QTL, is associated with a posteriori human orthologs from solute carrier family 7A, INPP4A&B, and NALCN. The fourth, a gemcitabine QTL that also affects methotrexate toxicity, is associated with human ortholog GPx4. Mapped QTL each explain a significant fraction of variation in toxicity, yet individual SNPs and transposable elements in the candidate gene regions fail to singly explain QTL peaks. Furthermore, estimates of founder haplotype effects are consistent with genes harboring several segregating functional alleles. We find little evidence for nonsynonymous SNPs explaining mapped QTL; thus it seems likely that standing variation in toxicity is due to regulatory alleles.
化疗毒副作用的严重程度在个体间存在很大差异,而且这种差异很可能基于遗传因素。能够预测毒副作用的简单DNA检测可能会彻底改变化疗的实施方式。由于在识别影响人类毒性的多态性方面存在挑战,我们将果蝇口服卡铂、吉西他滨和丝裂霉素C后的繁殖力作为模型系统,以识别可预测毒性的天然存在的DNA变异。我们使用果蝇合成群体资源(DSPR),这是一组源自多亲本高级杂交的重组近交系,来定位影响化学毒性的数量性状基因座。我们分别鉴定出两个与卡铂和吉西他滨毒性相关的数量性状基因座,而未发现与丝裂霉素相关的数量性状基因座。一个数量性状基因座与人类卡铂候选基因ABCC2和MSH2的果蝇直系同源基因相关,另一个数量性状基因座与人类吉西他滨候选基因RRM2和RRM2B的果蝇直系同源基因相关。第三个卡铂数量性状基因座与溶质载体家族7A、INPP4A&B和NALCN的人类直系同源基因相关。第四个吉西他滨数量性状基因座也影响甲氨蝶呤毒性,与人类直系同源基因GPx4相关。定位的数量性状基因座各自解释了毒性变异中的很大一部分,但候选基因区域中的单个单核苷酸多态性(SNP)和转座元件无法单独解释数量性状基因座峰值。此外,奠基者单倍型效应估计与含有多个分离功能等位基因的基因一致。我们几乎没有发现非同义SNP能够解释定位数量性状基因座;因此,毒性的现存变异似乎是由于调控等位基因引起的。