Engineered Microphysiological Systems for Testing Effectiveness of Cell-Based Cancer Immunotherapies
Name
cancers-14-03561.pdf
Size
2.36 MB
Format
Adobe PDF
Checksum (MD5)
50be1f3d07154aea7585124d8f758407
Author(s) • • • • •
Campisi, Marco
Shelton, Sarah E.
Chen, Minyue
Kamm, Roger D.
Barbie, David A.
Knelson, Erik H.
Date Issued
July 22, 2022
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Cancers 14 (15): 3561 (2022)
Version
Final published version
Abstract
Cell therapies, including adoptive immune cell therapies and genetically engineered chimeric antigen receptor (CAR) T or NK cells, have shown promise in treating hematologic malignancies. Yet, immune cell infiltration and expansion has proven challenging in solid tumors due to immune cell exclusion and exhaustion and the presence of vascular barriers. Testing next-generation immune therapies remains challenging in animals, motivating sophisticated ex vivo models of human tumor biology and prognostic assays to predict treatment response in real-time while comprehensively recapitulating the human tumor immune microenvironment (TIME). This review examines current strategies for testing cell-based cancer immunotherapies using ex vivo microphysiological systems and microfluidic technologies. Insights into the multicellular interactions of the TIME will identify novel therapeutic strategies to help patients whose tumors are refractory or resistant to current immunotherapies. Altogether, these microphysiological systems (MPS) have the capability to predict therapeutic vulnerabilities and biological barriers while studying immune cell infiltration and killing in a more physiologically relevant context, thereby providing important insights into fundamental biologic mechanisms to expand our understanding of and treatments for currently incurable malignancies.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/cancers14153561