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Therapeutic targeting of tumor spheroids in a 3D microphysiological renal cell carcinoma-on-a-chip system

Metastatic renal cell carcinoma (RCC) remains an incurable disease for most patients highlighting an urgent need for new treatments. However, the preclinical investigation of new therapies is limited by traditional two-dimensional (2D) cultures which do not recapitulate the properties of tumor cells...

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Autores principales: Miller, Chris P., Fung, Megan, Jaeger-Ruckstuhl, Carla A., Xu, Yuexin, Warren, Edus H., Akilesh, Shreeram, Tykodi, Scott S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663960/
https://www.ncbi.nlm.nih.gov/pubmed/37944353
http://dx.doi.org/10.1016/j.neo.2023.100948
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author Miller, Chris P.
Fung, Megan
Jaeger-Ruckstuhl, Carla A.
Xu, Yuexin
Warren, Edus H.
Akilesh, Shreeram
Tykodi, Scott S.
author_facet Miller, Chris P.
Fung, Megan
Jaeger-Ruckstuhl, Carla A.
Xu, Yuexin
Warren, Edus H.
Akilesh, Shreeram
Tykodi, Scott S.
author_sort Miller, Chris P.
collection PubMed
description Metastatic renal cell carcinoma (RCC) remains an incurable disease for most patients highlighting an urgent need for new treatments. However, the preclinical investigation of new therapies is limited by traditional two-dimensional (2D) cultures which do not recapitulate the properties of tumor cells within a collagen extracellular matrix (ECM), while human tumor xenografts are time-consuming, expensive and lack adaptive immune cells. We report a rapid and economical human microphysiological system (“RCC-on-a-chip”) to investigate therapies targeting RCC spheroids in a 3D collagen ECM. We first demonstrate that culture of RCC cell lines A498 and RCC4 in a 3D collagen ECM more faithfully reproduces the gene expression program of primary RCC tumors compared to 2D culture. We next used bortezomib as a cytotoxin to develop automated quantification of dose-dependent tumor spheroid killing. We observed that viable RCC spheroids exhibited collective migration within the ECM and demonstrated that our 3D system can be used to identify compounds that inhibit spheroid collective migration without inducing cell death. Finally, we demonstrate the RCC-on-a-chip as a platform to model the trafficking of tumor-reactive T cells into the ECM and observed antigen-specific A498 spheroid killing by engineered human CD8(+) T cells expressing an ROR1-specific chimeric antigen receptor. In summary, the phenotypic differences between the 3D versus 2D environments, rapid imaging-based readout, and the ability to carefully study the impact of individual variables with quantitative rigor will encourage adoption of the RCC-on-a-chip system for testing a wide range of emerging therapies for RCC.
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spelling pubmed-106639602023-11-07 Therapeutic targeting of tumor spheroids in a 3D microphysiological renal cell carcinoma-on-a-chip system Miller, Chris P. Fung, Megan Jaeger-Ruckstuhl, Carla A. Xu, Yuexin Warren, Edus H. Akilesh, Shreeram Tykodi, Scott S. Neoplasia Original article Metastatic renal cell carcinoma (RCC) remains an incurable disease for most patients highlighting an urgent need for new treatments. However, the preclinical investigation of new therapies is limited by traditional two-dimensional (2D) cultures which do not recapitulate the properties of tumor cells within a collagen extracellular matrix (ECM), while human tumor xenografts are time-consuming, expensive and lack adaptive immune cells. We report a rapid and economical human microphysiological system (“RCC-on-a-chip”) to investigate therapies targeting RCC spheroids in a 3D collagen ECM. We first demonstrate that culture of RCC cell lines A498 and RCC4 in a 3D collagen ECM more faithfully reproduces the gene expression program of primary RCC tumors compared to 2D culture. We next used bortezomib as a cytotoxin to develop automated quantification of dose-dependent tumor spheroid killing. We observed that viable RCC spheroids exhibited collective migration within the ECM and demonstrated that our 3D system can be used to identify compounds that inhibit spheroid collective migration without inducing cell death. Finally, we demonstrate the RCC-on-a-chip as a platform to model the trafficking of tumor-reactive T cells into the ECM and observed antigen-specific A498 spheroid killing by engineered human CD8(+) T cells expressing an ROR1-specific chimeric antigen receptor. In summary, the phenotypic differences between the 3D versus 2D environments, rapid imaging-based readout, and the ability to carefully study the impact of individual variables with quantitative rigor will encourage adoption of the RCC-on-a-chip system for testing a wide range of emerging therapies for RCC. Neoplasia Press 2023-11-07 /pmc/articles/PMC10663960/ /pubmed/37944353 http://dx.doi.org/10.1016/j.neo.2023.100948 Text en © 2023 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original article
Miller, Chris P.
Fung, Megan
Jaeger-Ruckstuhl, Carla A.
Xu, Yuexin
Warren, Edus H.
Akilesh, Shreeram
Tykodi, Scott S.
Therapeutic targeting of tumor spheroids in a 3D microphysiological renal cell carcinoma-on-a-chip system
title Therapeutic targeting of tumor spheroids in a 3D microphysiological renal cell carcinoma-on-a-chip system
title_full Therapeutic targeting of tumor spheroids in a 3D microphysiological renal cell carcinoma-on-a-chip system
title_fullStr Therapeutic targeting of tumor spheroids in a 3D microphysiological renal cell carcinoma-on-a-chip system
title_full_unstemmed Therapeutic targeting of tumor spheroids in a 3D microphysiological renal cell carcinoma-on-a-chip system
title_short Therapeutic targeting of tumor spheroids in a 3D microphysiological renal cell carcinoma-on-a-chip system
title_sort therapeutic targeting of tumor spheroids in a 3d microphysiological renal cell carcinoma-on-a-chip system
topic Original article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663960/
https://www.ncbi.nlm.nih.gov/pubmed/37944353
http://dx.doi.org/10.1016/j.neo.2023.100948
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