Abstract
Tumors continue to claim the lives of a large number of people worldwide. Oncology research, anticancer drug discovery, and the development of personalized medicine are being actively pursued. However, existing tumor model systems, such as static 2D and 3D culture systems and animal models, are not completely representative of actual tumors. “Tumors-on-chip” that simulate tumors in vitro using fluidic devices could solve this gap and enable the achievement of results not possible with existing tumor model systems. In this review, we identify five design patterns common to the numerous tumor chips and clarify the characteristics of each, taking into account the latest research trends. This review could serve as a valuable guide when using or designing tumors-on-chip.
