Microfluidic models for adoptive cell-mediated cancer immunotherapies
Current adoptive T cell therapies have shown promising results in clinical trials but need further development as an effective cancer treatment. Here, we discuss how 3D microfluidic tumour models mimicking the tumour microenvironment could help in testing T cell immunotherapies by assessing engineer...
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Format: | Article |
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Elsevier
2018
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Online Access: | http://hdl.handle.net/1721.1/119471 https://orcid.org/0000-0002-7232-304X |
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author | Adriani, Giulia Pavesi, Andrea Tan, Anthony T. Bertoletti, Antonio Thiery, Jean Paul Kamm, Roger Dale |
author2 | Massachusetts Institute of Technology. Department of Biological Engineering |
author_facet | Massachusetts Institute of Technology. Department of Biological Engineering Adriani, Giulia Pavesi, Andrea Tan, Anthony T. Bertoletti, Antonio Thiery, Jean Paul Kamm, Roger Dale |
author_sort | Adriani, Giulia |
collection | MIT |
description | Current adoptive T cell therapies have shown promising results in clinical trials but need further development as an effective cancer treatment. Here, we discuss how 3D microfluidic tumour models mimicking the tumour microenvironment could help in testing T cell immunotherapies by assessing engineered T cells and identifying combinatorial therapy to improve therapeutic efficacy. We propose that 3D microfluidic systems can be used to screen different patient-specific treatments, thereby reducing the burden of in vivo testing and facilitating the rapid translation of successful T cell cancer immunotherapies to the clinic. |
first_indexed | 2024-09-23T13:28:14Z |
format | Article |
id | mit-1721.1/119471 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T13:28:14Z |
publishDate | 2018 |
publisher | Elsevier |
record_format | dspace |
spelling | mit-1721.1/1194712022-09-28T14:30:56Z Microfluidic models for adoptive cell-mediated cancer immunotherapies Adriani, Giulia Pavesi, Andrea Tan, Anthony T. Bertoletti, Antonio Thiery, Jean Paul Kamm, Roger Dale Massachusetts Institute of Technology. Department of Biological Engineering Kamm, Roger Dale Current adoptive T cell therapies have shown promising results in clinical trials but need further development as an effective cancer treatment. Here, we discuss how 3D microfluidic tumour models mimicking the tumour microenvironment could help in testing T cell immunotherapies by assessing engineered T cells and identifying combinatorial therapy to improve therapeutic efficacy. We propose that 3D microfluidic systems can be used to screen different patient-specific treatments, thereby reducing the burden of in vivo testing and facilitating the rapid translation of successful T cell cancer immunotherapies to the clinic. National Cancer Institute (U.S.) (Grant 1-U01CA202177-01) 2018-12-07T18:14:51Z 2018-12-07T18:14:51Z 2016-05 2018-12-05T17:31:29Z Article http://purl.org/eprint/type/JournalArticle 1359-6446 http://hdl.handle.net/1721.1/119471 Adriani, Giulia et al. “Microfluidic Models for Adoptive Cell-Mediated Cancer Immunotherapies.” Drug Discovery Today 21, 9 (September 2016): 1472–1478 © 2016 Elsevier Ltd https://orcid.org/0000-0002-7232-304X http://dx.doi.org/10.1016/J.DRUDIS.2016.05.006 Drug Discovery Today Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier PMC |
spellingShingle | Adriani, Giulia Pavesi, Andrea Tan, Anthony T. Bertoletti, Antonio Thiery, Jean Paul Kamm, Roger Dale Microfluidic models for adoptive cell-mediated cancer immunotherapies |
title | Microfluidic models for adoptive cell-mediated cancer immunotherapies |
title_full | Microfluidic models for adoptive cell-mediated cancer immunotherapies |
title_fullStr | Microfluidic models for adoptive cell-mediated cancer immunotherapies |
title_full_unstemmed | Microfluidic models for adoptive cell-mediated cancer immunotherapies |
title_short | Microfluidic models for adoptive cell-mediated cancer immunotherapies |
title_sort | microfluidic models for adoptive cell mediated cancer immunotherapies |
url | http://hdl.handle.net/1721.1/119471 https://orcid.org/0000-0002-7232-304X |
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