Cancer-on-a-Chip for Modeling Immune Checkpoint Inhibitor and Tumor Interactions.
Cancer-on-a-Chip for Modeling Immune Checkpoint Inhibitor and Tumor Interactions.
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用于模拟免疫检查点抑制剂和肿瘤相互作用的癌症芯片。
DOI:
10.1002/smll.202004282
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发表时间:
2021-03
期刊:
影响因子:
--
通讯作者:
Khademhosseini A
中科院分区:
文献类型:
--
作者:
Jiang X;Ren L;Tebon P;Wang C;Zhou X;Qu M;Zhu J;Ling H;Zhang S;Xue Y;Wu Q;Bandaru P;Lee J;Kim HJ;Ahadian S;Ashammakhi N;Dokmeci MR;Wu J;Gu Z;Sun W;Khademhosseini A
Cancer immunotherapies, including immune checkpoint inhibitor (ICI)-based therapies, have revolutionized cancer treatment. However, patient response to ICIs is highly variable, necessitating the development of methods to quickly assess efficacy. In this study, an array of miniaturized bioreactors has been developed to model tumor-immune interactions. This immunotherapeutic high-throughput observation chamber (iHOC) is designed to test the effect of anti-PD-1 antibodies on cancer spheroid (MDA-MB-231, PD-L1+) and T cell (Jurkat) interactions. This system facilitates facile monitoring of T cell inhibition and re-activation using metrics such as tumor infiltration and interleukin-2 (IL-2) secretion. Status of the tumor-immune interactions can be easily captured within the iHOC by measuring IL-2 concentration using micropillar array where sensitive, quantitative detection is allowed after antibody coating on the surface of array. The iHOC is a platform that can be used to model and monitor cancer-immune interactions in response to immunotherapy in a high-throughput manner. Patient responses to immune checkpoint inhibitor (ICI)-based therapies are highly variable, calling for a rapid evaluation approach. Here, a cancer-on-a-chip platform is designed to monitor ICI-associated cancer-immune interactions between cancer spheroids and T cells in a high-throughput manner. The system is a promising screening platform for drug discovery, drug safety assessment, and personalized medicine.
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DOI:
10.4049/jimmunol.1602033
发表时间:
2017-10-15
期刊:
Journal of immunology (Baltimore, Md. : 1950)
影响因子:
--
作者:
Brignall R;Cauchy P;Bevington SL;Gorman B;Pisco AO;Bagnall J;Boddington C;Rowe W;England H;Rich K;Schmidt L;Dyer NP;Travis MA;Ott S;Jackson DA;Cockerill PN;Paszek P
通讯作者:
Paszek P
DOI:
10.1016/j.msec.2019.03.011
发表时间:
2019-07-01
影响因子:
7.9
作者:
Vinothini, Kandasamy;Rajendran, Naresh Kumar;Rajan, Mariappan
通讯作者:
Rajan, Mariappan
DOI:
10.1016/j.bbrc.2016.11.062
发表时间:
2017-01-08
影响因子:
3.1
作者:
van Meer BJ;de Vries H;Firth KSA;van Weerd J;Tertoolen LGJ;Karperien HBJ;Jonkheijm P;Denning C;IJzerman AP;Mummery CL
通讯作者:
Mummery CL
DOI:
10.1126/science.aar4060
发表时间:
2018-03-23
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Ribas A;Wolchok JD
通讯作者:
Wolchok JD
影响因子:
8.7
作者:
Sharpe AH
通讯作者:
Sharpe AH