3D Microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells
Abstract Immunotherapy efficacy relies on the crosstalk within the tumor microenvironment between cancer and dendritic cells (DCs) resulting in the induction of a potent and effective antitumor response. DCs have the specific role of recognizing cancer cells, taking up tumor antigens (Ags) and then...
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Nature Portfolio
2017
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oai:doaj.org-article:370bcc5595844c69b7a43669228ca0302021-12-02T11:41:09Z3D Microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells10.1038/s41598-017-01013-x2045-2322https://doaj.org/article/370bcc5595844c69b7a43669228ca0302017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01013-xhttps://doaj.org/toc/2045-2322Abstract Immunotherapy efficacy relies on the crosstalk within the tumor microenvironment between cancer and dendritic cells (DCs) resulting in the induction of a potent and effective antitumor response. DCs have the specific role of recognizing cancer cells, taking up tumor antigens (Ags) and then migrating to lymph nodes for Ag (cross)-presentation to naïve T cells. Interferon-α-conditioned DCs (IFN-DCs) exhibit marked phagocytic activity and the special ability of inducing Ag-specific T-cell response. Here, we have developed a novel microfluidic platform recreating tightly interconnected cancer and immune systems with specific 3D environmental properties, for tracking human DC behaviour toward tumor cells. By combining our microfluidic platform with advanced microscopy and a revised cell tracking analysis algorithm, it was possible to evaluate the guided efficient motion of IFN-DCs toward drug-treated cancer cells and the succeeding phagocytosis events. Overall, this platform allowed the dissection of IFN-DC-cancer cell interactions within 3D tumor spaces, with the discovery of major underlying factors such as CXCR4 involvement and underscored its potential as an innovative tool to assess the efficacy of immunotherapeutic approaches.Stefania ParlatoAdele De NinnoRosa MolfettaElena ToschiDebora SalernoArianna MencattiniGiulia RomagnoliAlessandra FragaleLorenzo RoccazzelloMaria BuoncervelloIrene CaniniEnrico BentivegnaMario FalchiFrancesca Romana BertaniAnnamaria GerardinoEugenio MartinelliCorrado NataleRossella PaoliniLuca BusinaroLucia GabrieleNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-16 (2017) |
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Medicine R Science Q Stefania Parlato Adele De Ninno Rosa Molfetta Elena Toschi Debora Salerno Arianna Mencattini Giulia Romagnoli Alessandra Fragale Lorenzo Roccazzello Maria Buoncervello Irene Canini Enrico Bentivegna Mario Falchi Francesca Romana Bertani Annamaria Gerardino Eugenio Martinelli Corrado Natale Rossella Paolini Luca Businaro Lucia Gabriele 3D Microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells |
| description |
Abstract Immunotherapy efficacy relies on the crosstalk within the tumor microenvironment between cancer and dendritic cells (DCs) resulting in the induction of a potent and effective antitumor response. DCs have the specific role of recognizing cancer cells, taking up tumor antigens (Ags) and then migrating to lymph nodes for Ag (cross)-presentation to naïve T cells. Interferon-α-conditioned DCs (IFN-DCs) exhibit marked phagocytic activity and the special ability of inducing Ag-specific T-cell response. Here, we have developed a novel microfluidic platform recreating tightly interconnected cancer and immune systems with specific 3D environmental properties, for tracking human DC behaviour toward tumor cells. By combining our microfluidic platform with advanced microscopy and a revised cell tracking analysis algorithm, it was possible to evaluate the guided efficient motion of IFN-DCs toward drug-treated cancer cells and the succeeding phagocytosis events. Overall, this platform allowed the dissection of IFN-DC-cancer cell interactions within 3D tumor spaces, with the discovery of major underlying factors such as CXCR4 involvement and underscored its potential as an innovative tool to assess the efficacy of immunotherapeutic approaches. |
| format |
article |
| author |
Stefania Parlato Adele De Ninno Rosa Molfetta Elena Toschi Debora Salerno Arianna Mencattini Giulia Romagnoli Alessandra Fragale Lorenzo Roccazzello Maria Buoncervello Irene Canini Enrico Bentivegna Mario Falchi Francesca Romana Bertani Annamaria Gerardino Eugenio Martinelli Corrado Natale Rossella Paolini Luca Businaro Lucia Gabriele |
| author_facet |
Stefania Parlato Adele De Ninno Rosa Molfetta Elena Toschi Debora Salerno Arianna Mencattini Giulia Romagnoli Alessandra Fragale Lorenzo Roccazzello Maria Buoncervello Irene Canini Enrico Bentivegna Mario Falchi Francesca Romana Bertani Annamaria Gerardino Eugenio Martinelli Corrado Natale Rossella Paolini Luca Businaro Lucia Gabriele |
| author_sort |
Stefania Parlato |
| title |
3D Microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells |
| title_short |
3D Microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells |
| title_full |
3D Microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells |
| title_fullStr |
3D Microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells |
| title_full_unstemmed |
3D Microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells |
| title_sort |
3d microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells |
| publisher |
Nature Portfolio |
| publishDate |
2017 |
| url |
https://doaj.org/article/370bcc5595844c69b7a43669228ca030 |
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