Luis M. Ortiz Jordan, Virneliz Fernández Vega, Justin Shumate, Adam Peles, Jordan Zeiger, Louis Scampavia, Timothy P. Spicer
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引用次数: 0
摘要
由于三维细胞培养技术的最新进展和发展,利用三维细胞模型进行高通量筛选(HTS)成为可能。多项研究结果表明,二维和三维细胞培养对药物的反应不同。目前,人们普遍认为三维细胞模型比二维细胞模型更能准确地反映肿瘤的生理状况。然而,我们仍然需要可扩展的、能更好地模拟活体组织中复杂条件的更精确测试。在此,我们介绍了超高通量三维药物反应谱分析方法,该方法针对患者原发性肿瘤(包括黑色素瘤和肾细胞癌)进行了测试,并与美国国家癌症研究所(NCI)的一套经 FDA 批准的肿瘤药物进行了对比。我们还测试了患者自体癌症相关成纤维细胞,使用基质与无基质方法改变了体外条件,并在三维与二维渲染的癌细胞中完成了测试。结果表明,基于遗传背景,但不基于维持条件,患者对药物的反应是不同的。在此,我们介绍了使用这些来自患者的三维有机体进行 HTS 研究的方法和支持性结果。这证明了使用病人的三维细胞进行 HTS 的可能性,并扩展了我们使用临床批准的抗癌药物测试其他类型癌症的筛选能力,以寻找潜在的非标签使用药物。
Protocol for high throughput 3D drug screening of patient derived melanoma and renal cell carcinoma
High Throughput Screening (HTS) with 3D cell models is possible thanks to the recent progress and development in 3D cell culture technologies. Results from multiple studies have demonstrated different drug responses between 2D and 3D cell culture. It is now widely accepted that 3D cell models more accurately represent the physiologic conditions of tumors over 2D cell models. However, there is still a need for more accurate tests that are scalable and better imitate the complex conditions in living tissues. Here, we describe ultrahigh throughput 3D methods of drug response profiling in patient derived primary tumors including melanoma as well as renal cell carcinoma that were tested against the NCI oncologic set of FDA approved drugs. We also tested their autologous patient derived cancer associated fibroblasts, varied the in-vitro conditions using matrix vs matrix free methods and completed this in both 3D vs 2D rendered cancer cells. The result indicates a heterologous response to the drugs based on their genetic background, but not on their maintenance condition. Here, we present the methods and supporting results of the HTS efforts using these 3D of organoids derived from patients. This demonstrated the possibility of using patient derived 3D cells for HTS and expands on our screening capabilities for testing other types of cancer using clinically approved anti-cancer agents to find drugs for potential off label use.
期刊介绍:
Advancing Life Sciences R&D: SLAS Discovery reports how scientists develop and utilize novel technologies and/or approaches to provide and characterize chemical and biological tools to understand and treat human disease.
SLAS Discovery is a peer-reviewed journal that publishes scientific reports that enable and improve target validation, evaluate current drug discovery technologies, provide novel research tools, and incorporate research approaches that enhance depth of knowledge and drug discovery success.
SLAS Discovery emphasizes scientific and technical advances in target identification/validation (including chemical probes, RNA silencing, gene editing technologies); biomarker discovery; assay development; virtual, medium- or high-throughput screening (biochemical and biological, biophysical, phenotypic, toxicological, ADME); lead generation/optimization; chemical biology; and informatics (data analysis, image analysis, statistics, bio- and chemo-informatics). Review articles on target biology, new paradigms in drug discovery and advances in drug discovery technologies.
SLAS Discovery is of particular interest to those involved in analytical chemistry, applied microbiology, automation, biochemistry, bioengineering, biomedical optics, biotechnology, bioinformatics, cell biology, DNA science and technology, genetics, information technology, medicinal chemistry, molecular biology, natural products chemistry, organic chemistry, pharmacology, spectroscopy, and toxicology.
SLAS Discovery is a member of the Committee on Publication Ethics (COPE) and was published previously (1996-2016) as the Journal of Biomolecular Screening (JBS).