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遗传和非遗传因素作为淋巴母细胞系药物表型的变量。

Heritable and non-genetic factors as variables of pharmacologic phenotypes in lymphoblastoid cell lines.

机构信息

Department of Human Genetics, University of Chicago, Chicago, IL, USA.

出版信息

Pharmacogenomics J. 2010 Dec;10(6):505-12. doi: 10.1038/tpj.2010.3. Epub 2010 Feb 9.

DOI:10.1038/tpj.2010.3
PMID:20142840
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2975793/
Abstract

Publicly available genetic and expression data on lymphoblastoid cell lines (LCLs) make them a unique resource for understanding the genetic underpinnings of pharmacological outcomes and disease. LCLs have been used for pharmacogenomic discovery and validation of clinical findings associated with drug response. However, variation in cellular growth rate, baseline Epstein-Barr virus (EBV) copy number and ATP levels can all be confounders in such studies. Our objective is to better define confounding variables that affect pharmacological end points in LCLs. To this end, we evaluated the effect of these three variables on drug-induced cytotoxicity in LCLs. The drugs evaluated included daunorubicin, etoposide, carboplatin, cisplatin, cytarabine, pemetrexed, 5'-deoxyfluorouridine, vorinostat, methotrexate, 6-mercaptopurine, and 5-fluorouracil. Baseline ATP or EBV copy number were not significantly correlated with cellular growth rate or drug-induced cytotoxicity. In contrast, cellular growth rate and drug-induced cytotoxicity were significantly, directly related for all drugs except vorinostat. Importantly, cellular growth rate is under appreciable genetic influence (h²=0.30-0.39) with five suggestive linkage regions across the genome. Not surprisingly, a percentage of SNPs that significantly associate with drug-induced cytotoxicity also associate with cellular growth rate (P ≤ 0.0001). Studies using LCLs for pharmacologic outcomes should therefore consider that a portion of the genetic variation explaining drug-induced cytotoxicity is mediated via heritable effects on growth rate.

摘要

可供公开获取的淋巴母细胞系 (LCL) 的遗传和表达数据使它们成为理解药物反应相关的药理学结果和疾病遗传基础的独特资源。LCL 已被用于药物基因组学发现和验证与药物反应相关的临床发现。然而,细胞生长速率、基线 EBV 拷贝数和 ATP 水平的差异都可能是这些研究中的混杂因素。我们的目标是更好地定义影响 LCL 中药物作用终点的混杂变量。为此,我们评估了这三个变量对 LCL 中药物诱导的细胞毒性的影响。评估的药物包括柔红霉素、依托泊苷、卡铂、顺铂、阿糖胞苷、培美曲塞、5'-去氧氟尿苷、伏立诺他、甲氨蝶呤、6-巯基嘌呤和 5-氟尿嘧啶。基线 ATP 或 EBV 拷贝数与细胞生长速率或药物诱导的细胞毒性无显著相关性。相比之下,除了伏立诺他,细胞生长速率和药物诱导的细胞毒性与所有药物均呈显著正相关。重要的是,细胞生长速率受到明显的遗传影响(h²=0.30-0.39),基因组中有五个提示性连锁区域。毫不奇怪,与药物诱导的细胞毒性显著相关的 SNP 中有一部分也与细胞生长速率相关(P≤0.0001)。因此,使用 LCL 进行药理学研究时,应考虑到解释药物诱导的细胞毒性的遗传变异的一部分是通过对生长速率的遗传影响介导的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2af/2975793/2ccff1999d83/nihms221056f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2af/2975793/61cd40aeab7c/nihms221056f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2af/2975793/4f85ae9756af/nihms221056f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2af/2975793/2ccff1999d83/nihms221056f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2af/2975793/61cd40aeab7c/nihms221056f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2af/2975793/4f85ae9756af/nihms221056f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2af/2975793/2ccff1999d83/nihms221056f3.jpg

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