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Metformin pharmacogenomics: a genome-wide association study to identify genetic and epigenetic biomarkers involved in metformin anticancer response using human lymphoblastoid cell lines

机译:二甲双胍药物基因组学:一项全基因组关联研究以鉴定涉及使用人类淋巴母细胞系的二甲双胍抗癌反应的遗传和表观遗传标记

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摘要

Metformin is currently considered as a promising anticancer agent in addition to its anti-diabetic effect. To better individualize metformin therapy and explore novel molecular mechanisms in cancer treatment, we conducted a pharmacogenomic study using 266 lymphoblastoid cell lines (LCLs). Metformin cytotoxicity assay was performed using the MTS assay. Genome-wide association (GWA) analyses were performed in LCLs using 1.3 million SNPs, 485k DNA methylation probes, 54k mRNA expression probe sets, and metformin cytotoxicity (IC50s). Top candidate genes were functionally validated using siRNA screening, followed by MTS assay in breast cancer cell lines. Further study of one top candidate, STUB1, was performed to elucidate the mechanisms by which STUB1 might contribute to metformin action. GWA analyses in LCLs identified 198 mRNA expression probe sets, 12 SNP loci, and 5 DNA methylation loci associated with metformin IC50 with P-values <10−4 or <10−5. Integrated SNP/methylation loci-expression-IC50 analyses found 3 SNP loci or 5 DNA methylation loci associated with metformin IC50 through trans-regulation of expression of 11 or 26 genes with P-value <10−4. Functional validation of top 61 candidate genes in 4 IPA networks indicated down regulation of 14 genes significantly altered metformin sensitivity in two breast cancer cell lines. Mechanistic studies revealed that the E3 ubiquitin ligase, STUB1, could influence metformin response by facilitating proteasome-mediated degradation of cyclin A. GWAS using a genomic data-enriched LCL model system, together with functional and mechanistic studies using cancer cell lines, help us to identify novel genetic and epigenetic biomarkers involved in metformin anticancer response.
机译:二甲双胍除具有抗糖尿病作用外,目前还被认为是有前途的抗癌药。为了更好地个体化二甲双胍治疗并探索癌症治疗中的新分子机制,我们使用266个淋巴母细胞样细胞系(LCL)进行了药物基因组学研究。使用MTS测定法进行二甲双胍细胞毒性测定。使用130万个SNP,485k DNA甲基化探针,54k mRNA表达探针集和二甲双胍细胞毒性(IC50)在LCL中进行了全基因组关联(GWA)分析。使用siRNA筛选功能对最佳候选基因进行功能验证,然后在乳腺癌细胞系中进行MTS分析。进一步研究了一个顶级候选药物STUB1,以阐明STUB1可能有助于二甲双胍作用的机制。 GCL分析在LCL中鉴定出与二甲双胍IC50相关的198个mRNA表达探针组,12个SNP位点和5个DNA甲基化位点,P值<10 -4 或<10 -5 。综合SNP /甲基化基因座表达-IC50分析发现,通过反式调节P值<10 -4 的11或26个基因的表达,与三甲双胍IC50相关的3个SNP基因座或5个DNA甲基化基因座。在4个IPA网络中对前61个候选基因进行功能验证表明,下调14个基因可显着改变两种乳腺癌细胞系中的二甲双胍敏感性。机理研究表明,E3泛素连接酶STUB1可以通过促进蛋白酶体介导的细胞周期蛋白A降解来影响二甲双胍的应答。GWAS使用富含基因组数据的LCL模型系统,以及使用癌细胞系的功能和机理研究,有助于我们确定涉及二甲双胍抗癌反应的新型遗传和表观遗传生物标记。

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