Tumor-on-a-chip: from bioinspired design to biomedical application

• Published in: Microsystems & nanoengineering Vol. 7; no. 1; pp. 50 - 23
• Main Authors: Liu, Xingxing, Fang, Jiaru, Huang, Shuang, Wu, Xiaoxue, Xie, Xi, Wang, Ji, Liu, Fanmao, Zhang, Meng, Peng, Zhenwei, Hu, Ning
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 21.06.2021; Springer Nature B.V; Nature Publishing Group
• Subjects: 639/925/350/877; 639/925/927/1007; Animal models; Antineoplastic drugs; Antitumor agents; Biology; Biomedical materials; Biomimetics; Cancer; Cancer research; Cancer therapies; Cell culture; Drug screening; Drugs; Engineering; Medical research; Microfluidics; Platforms; Review; Review Article; Reviews; Screening; Structure-function relationships; Tissue culture; Tissue engineering; Tumor microenvironment; Tumors; Microfluidics; Electronic devices
• ISSN: 2055-7434; 2096-1030; 2055-7434
• DOI: 10.1038/s41378-021-00277-8

Cancer is one of the leading causes of human death, despite enormous efforts to explore cancer biology and develop anticancer therapies. The main challenges in cancer research are establishing an efficient tumor microenvironment in vitro and exploring efficient means for screening anticancer drugs to reveal the nature of cancer and develop treatments. The tumor microenvironment possesses human-specific biophysical and biochemical factors that are difficult to recapitulate in conventional in vitro planar cell models and in vivo animal models. Therefore, model limitations have hindered the translation of basic research findings to clinical applications. In this review, we introduce the recent progress in tumor-on-a-chip devices for cancer biology research, medicine assessment, and biomedical applications in detail. The emerging tumor-on-a-chip platforms integrating 3D cell culture, microfluidic technology, and tissue engineering have successfully mimicked the pivotal structural and functional characteristics of the in vivo tumor microenvironment. The recent advances in tumor-on-a-chip platforms for cancer biology studies and biomedical applications are detailed and analyzed in this review. This review should be valuable for further understanding the mechanisms of the tumor evolution process, screening anticancer drugs, and developing cancer therapies, and it addresses the challenges and potential opportunities in predicting drug screening and cancer treatment.