Department of Medicine.
Health Studies, University of Chicago, Chicago.
Ann Oncol. 2013 Jul;24(7):1867-1873. doi: 10.1093/annonc/mdt125. Epub 2013 Mar 18.
Beyond estrogen receptor (ER), there are no validated predictors for tamoxifen (TAM) efficacy and toxicity. We utilized a genome-wide cell-based model to comprehensively evaluate genetic variants for their contribution to cellular sensitivity to TAM.
Our discovery model incorporates multidimensional datasets, including genome-wide genotype, gene expression, and endoxifen-induced cellular growth inhibition in the International HapMap lymphoblastoid cell lines (LCLs). Genome-wide findings were further evaluated in NCI60 cancer cell lines. Gene knock-down experiments were performed in four breast cancer cell lines. Genetic variants identified in the cell-based model were examined in 245 Caucasian breast cancer patients who underwent TAM treatment.
We identified seven novel single-nucleotide polymorphisms (SNPs) associated with endoxifen sensitivity through the expression of 10 genes using the genome-wide integrative analysis. All 10 genes identified in LCLs were associated with TAM sensitivity in NCI60 cancer cell lines, including USP7. USP7 knock-down resulted in increasing resistance to TAM in four breast cancer cell lines tested, which is consistent with the finding in LCLs and in the NCI60 cells. Furthermore, we identified SNPs that were associated with TAM-induced toxicities in breast cancer patients, after adjusting for other clinical factors.
Our work demonstrates the utility of a cell-based model in genome-wide identification of pharmacogenomic markers.
除了雌激素受体 (ER) 之外,目前尚无经证实的可预测他莫昔芬 (TAM) 疗效和毒性的生物标志物。我们利用基于细胞的全基因组模型,全面评估遗传变异对 TAM 细胞敏感性的影响。
我们的发现模型整合了多维数据集,包括全基因组基因型、基因表达和依西美坦诱导的国际人类基因组单体型淋巴母细胞系 (LCL) 细胞生长抑制。全基因组研究结果在 NCI60 癌细胞系中进一步评估。在四种乳腺癌细胞系中进行基因敲低实验。在接受 TAM 治疗的 245 名高加索裔乳腺癌患者中,对基于细胞模型鉴定的遗传变异进行了检测。
通过全基因组综合分析,我们在 LCL 中发现了七个与依西美坦敏感性相关的新单核苷酸多态性 (SNP),并通过 10 个基因的表达确定。在 NCI60 癌细胞系中,LCL 中鉴定的 10 个基因均与 TAM 敏感性相关,包括 USP7。在四种乳腺癌细胞系中,USP7 敲低导致对 TAM 的耐药性增加,这与 LCL 和 NCI60 细胞中的发现一致。此外,我们还鉴定了与乳腺癌患者 TAM 诱导毒性相关的 SNP,在调整其他临床因素后。
我们的工作证明了基于细胞的模型在全基因组鉴定药物基因组标记方面的实用性。