In Vitro Tumor Models on Chip and Integrated Microphysiological Analysis Platform (MAP) for Life Sciences and High-Throughput Drug Screening

Biosensors (Basel). 2023 Feb 6;13(2):231. doi: 10.3390/bios13020231.

Abstract

The evolution of preclinical in vitro cancer models has led to the emergence of human cancer-on-chip or microphysiological analysis platforms (MAPs). Although it has numerous advantages compared to other models, cancer-on-chip technology still faces several challenges such as the complexity of the tumor microenvironment and integrating multiple organs to be widely accepted in cancer research and therapeutics. In this review, we highlight the advancements in cancer-on-chip technology in recapitulating the vital biological features of various cancer types and their applications in life sciences and high-throughput drug screening. We present advances in reconstituting the tumor microenvironment and modeling cancer stages in breast, brain, and other types of cancer. We also discuss the relevance of MAPs in cancer modeling and precision medicine such as effect of flow on cancer growth and the short culture period compared to clinics. The advanced MAPs provide high-throughput platforms with integrated biosensors to monitor real-time cellular responses applied in drug development. We envision that the integrated cancer MAPs has a promising future with regard to cancer research, including cancer biology, drug discovery, and personalized medicine.

Keywords: brain cancer; breast cancer; cancer-on-chip; drug development; high-throughput drug screening; metastasis; organs-on-chip; personalized medicine; tumor microenvironment.

Publication types

  • Review

MeSH terms

  • Biological Science Disciplines*
  • Drug Discovery
  • Drug Evaluation, Preclinical
  • High-Throughput Screening Assays
  • Humans
  • Lab-On-A-Chip Devices
  • Neoplasms*
  • Tumor Microenvironment

Grants and funding

This work was funded by the HK Lee foundation for the Institute of Quantum Biophysics and the Department of Biophysics at Sungkyunkwan University (H. Ngo), NRF-2020R1A2C2010285 and NRF-I21SS7606036 (H. Cho).