Maulana TI, Kromidas E, Wallstabe L, Cipriano M, Alb M, Zaupa C, Hudecek M, Fogal B, Loskill P (2021)
Publication Type: Journal article, Review article
Publication year: 2021
Book Volume: 173
Pages Range: 281-305
DOI: 10.1016/j.addr.2021.03.015
The advances in cancer immunotherapy come with several obstacles, limiting its widespread use and benefits so far only to a small subset of patients. One of the underlying challenges remains to be the lack of representative nonclinical models that translate to human immunity and are able to predict clinical efficacy and safety outcomes. In recent years, immunocompetent Cancer-on-Chip models emerge as an alternative human-based platform that enables the integration and manipulation of complex tumor microenvironment. In this review, we discuss novel opportunities offered by Cancer-on-Chip models to advance (mechanistic) immuno-oncology research, ranging from design flexibility to multimodal analysis approaches. We then exemplify their (potential) applications for the research and development of adoptive cell therapy, immune checkpoint therapy, cytokine therapy, oncolytic virus, and cancer vaccines.
APA:
Maulana, T.I., Kromidas, E., Wallstabe, L., Cipriano, M., Alb, M., Zaupa, C.,... Loskill, P. (2021). Immunocompetent cancer-on-chip models to assess immuno-oncology therapy. Advanced Drug Delivery Reviews, 173, 281-305. https://doi.org/10.1016/j.addr.2021.03.015
MLA:
Maulana, Tengku Ibrahim, et al. "Immunocompetent cancer-on-chip models to assess immuno-oncology therapy." Advanced Drug Delivery Reviews 173 (2021): 281-305.
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