Sant Shilpa, Johnston Paul A
Department of Pharmaceutical Sciences, School of Pharmacy, Pittsburgh, PA 15261, USA; Department of Bioengineering, Swanson School of Engineering, Pittsburgh, PA 15261, USA; McGowan Institute for Regenerative Medicine, Pittsburgh, PA 15261, USA; University of Pittsburgh Cancer Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Department of Pharmaceutical Sciences, School of Pharmacy, Pittsburgh, PA 15261, USA; University of Pittsburgh Cancer Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Drug Discov Today Technol. 2017 Mar;23:27-36. doi: 10.1016/j.ddtec.2017.03.002. Epub 2017 Apr 14.
New cancer drug approval rates are ≤5% despite significant investments in cancer research, drug discovery and development. One strategy to improve the rate of success of new cancer drugs transitioning into the clinic would be to more closely align the cellular models used in the early lead discovery with pre-clinical animal models and patient tumors. For solid tumors, this would mandate the development and implementation of three dimensional (3D) in vitro tumor models that more accurately recapitulate human solid tumor architecture and biology. Recent advances in tissue engineering and regenerative medicine have provided new techniques for 3D spheroid generation and a variety of in vitro 3D cancer models are being explored for cancer drug discovery. Although homogeneous assay methods and high content imaging approaches to assess tumor spheroid morphology, growth and viability have been developed, the implementation of 3D models in HTS remains challenging due to reasons that we discuss in this review. Perhaps the biggest obstacle to achieve acceptable HTS assay performance metrics occurs in 3D tumor models that produce spheroids with highly variable morphologies and/or sizes. We highlight two methods that produce uniform size-controlled 3D multicellular tumor spheroids that are compatible with cancer drug research and HTS; tumor spheroids formed in ultra-low attachment microplates, or in polyethylene glycol dimethacrylate hydrogel microwell arrays.
尽管在癌症研究、药物发现和开发方面投入巨大,但新型癌症药物的获批率仍≤5%。提高新型癌症药物进入临床成功率的一种策略是,使早期先导化合物发现中使用的细胞模型与临床前动物模型及患者肿瘤更紧密地匹配。对于实体瘤而言,这就需要开发并应用三维(3D)体外肿瘤模型,以更准确地重现人类实体瘤的结构和生物学特性。组织工程和再生医学的最新进展为3D球体生成提供了新技术,并且正在探索多种体外3D癌症模型用于癌症药物发现。尽管已经开发出用于评估肿瘤球体形态、生长和活力的均相检测方法及高内涵成像方法,但由于我们在本综述中讨论的原因,3D模型在高通量筛选(HTS)中的应用仍然具有挑战性。在产生形态和/或大小高度可变球体的3D肿瘤模型中,实现可接受的HTS检测性能指标可能是最大的障碍。我们重点介绍两种能产生大小均匀可控、与癌症药物研究及HTS兼容的3D多细胞肿瘤球体的方法;在超低附着微孔板中形成的肿瘤球体,或在聚乙二醇二甲基丙烯酸酯水凝胶微孔阵列中形成的肿瘤球体。