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基于免疫细胞的抗癌药物反应筛选测定法:在药物基因组学中的应用

Immune cell-based screening assay for response to anticancer agents: applications in pharmacogenomics.

作者信息

Frick Amber, Fedoriw Yuri, Richards Kristy, Damania Blossom, Parks Bethany, Suzuki Oscar, Benton Cristina S, Chan Emmanuel, Thomas Russell S, Wiltshire Tim

机构信息

Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.

Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.

出版信息

Pharmgenomics Pers Med. 2015 Feb 26;8:81-98. doi: 10.2147/PGPM.S73312. eCollection 2015.

Abstract

BACKGROUND

Interpatient variability in immune and chemotherapeutic cytotoxic responses is likely due to complex genetic differences and is difficult to ascertain in humans. Through the use of a panel of genetically diverse mouse inbred strains, we developed a drug screening platform aimed at examining interstrain differences in viability on normal, noncancerous immune cells following chemotherapeutic cytotoxic insult. Drug effects were investigated by comparing selective chemotherapeutic agents, such as BEZ-235 and selumetinib, against conventional cytotoxic agents targeting multiple pathways, including doxorubicin and idarubicin.

METHODS

Splenocytes were isolated from 36 isogenic strains of mice using standard procedures. Of note, the splenocytes were not stimulated to avoid attributing responses to pathways involved with cellular stimulation rather than toxicity. Cells were incubated with compounds on a nine-point logarithmic dosing scale ranging from 15 nM to 100 μM (37°C, 5% CO2). At 4 hours posttreatment, cells were labeled with antibodies and physiological indicator dyes and fixed with 4% paraformaldehyde. Cellular phenotypes (eg, viability) were collected and analyzed using flow cytometry. Dose-response curves with response normalized to the zero dose as a function of log concentration were generated using GraphPad Prism 6.

RESULTS

Phenotypes were quantified using flow cytometry, yielding interstrain variation for measured endpoints in different immune cells. The flow cytometry assays produced over 16,000 data points that were used to generate dose-response curves. The more targeted agents, BEZ-235 and selumetinib, were less toxic to immune cells than the anthracycline agents. The calculated heritability for the viability of immune cells was higher with anthracyclines than the novel agents, making them better suited for downstream genetic analysis.

CONCLUSION

Using this approach, we identify cell lines of variable sensitivity to chemotherapeutic agents and aim to identify robust, replicable endpoints of cellular response to drugs that provide the starting point for identifying candidate genes and cellular toxicity pathways for future validation in human studies.

摘要

背景

患者间免疫和化疗细胞毒性反应的变异性可能归因于复杂的基因差异,在人类中难以确定。通过使用一组基因多样的近交系小鼠,我们开发了一个药物筛选平台,旨在研究化疗细胞毒性损伤后正常非癌免疫细胞活力的品系间差异。通过比较选择性化疗药物(如BEZ - 235和司美替尼)与靶向多种途径的传统细胞毒性药物(包括阿霉素和伊达比星)来研究药物作用。

方法

使用标准程序从36个近交系小鼠中分离脾细胞。值得注意的是,未刺激脾细胞以避免将反应归因于与细胞刺激而非毒性相关的途径。细胞与化合物在15 nM至100 μM的九点对数剂量范围内孵育(37°C,5% CO2)。处理后4小时,用抗体和生理指示剂染料标记细胞,并用4%多聚甲醛固定。使用流式细胞术收集和分析细胞表型(如活力)。使用GraphPad Prism 6生成剂量反应曲线,将反应归一化为零剂量作为对数浓度的函数。

结果

使用流式细胞术对表型进行量化,得出不同免疫细胞中测量终点的品系间变异。流式细胞术检测产生了超过16000个数据点,用于生成剂量反应曲线。更具靶向性的药物BEZ - 235和司美替尼对免疫细胞的毒性低于蒽环类药物。蒽环类药物的免疫细胞活力计算遗传力高于新型药物,使其更适合进行下游基因分析。

结论

通过这种方法,我们确定了对化疗药物敏感性不同的细胞系,并旨在确定对药物的细胞反应的稳健、可重复终点,为识别候选基因和细胞毒性途径提供起点,以便在未来的人体研究中进行验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23c4/4397719/352d9c89dead/pgpm-8-081Fig1.jpg

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