3D microfluidic ex vivo culture of organotypic tumor spheroids to model immune checkpoint blockade.
3D microfluidic ex vivo culture of organotypic tumor spheroids to model immune checkpoint blockade.
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DOI:
10.1039/c8lc00322j
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发表时间:
2018-10-09
期刊:
影响因子:
6.1
通讯作者:
Jenkins RW
中科院分区:
文献类型:
--
作者:
Aref AR;Campisi M;Ivanova E;Portell A;Larios D;Piel BP;Mathur N;Zhou C;Coakley RV;Bartels A;Bowden M;Herbert Z;Hill S;Gilhooley S;Carter J;Cañadas I;Thai TC;Kitajima S;Chiono V;Paweletz CP;Barbie DA;Kamm RD;Jenkins RW
Microfluidic culture has the potential to revolutionize cancer diagnosis and therapy. Indeed, several microdevices are being developed specifically for clinical use to test novel cancer therapeutics. To be effective, these platforms need to replicate the continuous interactions that exist between tumor cells and non-tumor cell elements of the tumor microenvironment through direct cell-cell or cell-matrix contact or by the secretion of signaling factors such as cytokines, chemokines and growth factors. Given the challenges of personalized or precision cancer therapy, especially with the advent of novel immunotherapies, a critical need exists for more sophisticated ex vivo diagnostic systems that recapitulate patient-specific tumor biology with the potential to predicting response to immune-based therapies in real-time. Here, we present details of a method to screen for the response of patient tumors to immune checkpoint blockade therapy, first reported in Jenkins et al. Cancer Discovery 2018, with updated evaluation of murine- and patient-derived organotypic tumor spheroids (MDOTS/PDOTS), including evaluation of the requirement for 3D microfluidic culture in MDOTS, demonstration of immune-checkpoint sensitivity of PDOTS, and expanded evaluation of tumor-immune interactions using RNA-sequencing to infer changes in the tumor-immune microenvironment. We also examine some potential improvements to current systems and discuss the challenges in translating such diagnostic assays to the clinic.
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影响因子:
16.6
作者:
Domcke, Silvia;Sinha, Rileen;Levine, Douglas A.;Sander, Chris;Schultz, Nikolaus
通讯作者:
Schultz, Nikolaus
影响因子:
8.8
作者:
Jenkins RW;Barbie DA;Flaherty KT
通讯作者:
Flaherty KT
影响因子:
28.2
作者:
Girotti, Maria Romina;Gremel, Gabriela;Marais, Richard
通讯作者:
Marais, Richard
影响因子:
11.2
作者:
Daniel VC;Marchionni L;Hierman JS;Rhodes JT;Devereux WL;Rudin CM;Yung R;Parmigiani G;Dorsch M;Peacock CD;Watkins DN
通讯作者:
Watkins DN
影响因子:
5.6
作者:
Arrigoni C;Bersini S;Gilardi M;Moretti M
通讯作者:
Moretti M