Going with the Flow: Modeling the Tumor Microenvironment Using Microfluidic Technology.
Going with the Flow: Modeling the Tumor Microenvironment Using Microfluidic Technology.
复制标题
随波逐流:用微流控技术模拟肿瘤微环境。
DOI:
10.3390/cancers13236052
复制
发表时间:
2021-12-01
期刊:
影响因子:
5.2
通讯作者:
Jenkins RW
中科院分区:
文献类型:
--
作者:
Xie H;Appelt JW;Jenkins RW
The clinical success of cancer immunotherapy targeting immune checkpoints (e.g., PD-1, CTLA-4) has ushered in a new era of cancer therapeutics aimed at promoting antitumor immunity in hopes of offering durable clinical responses for patients with advanced, metastatic cancer. This success has also reinvigorated interest in developing tumor model systems that recapitulate key features of antitumor immune responses to complement existing in vivo tumor models. Patient-derived tumor models have emerged in recent years to facilitate study of tumor–immune dynamics. Microfluidic technology has enabled development of microphysiologic systems (MPSs) for the evaluation of the tumor microenvironment, which have shown early promise in studying tumor–immune dynamics. Further development of microfluidic-based “tumor-on-a-chip” MPSs to study tumor–immune interactions may overcome several key challenges currently facing tumor immunology. Recent advances in cancer immunotherapy have led a paradigm shift in the treatment of multiple malignancies with renewed focus on the host immune system and tumor–immune dynamics. However, intrinsic and acquired resistance to immunotherapy limits patient benefits and wider application. Investigations into the mechanisms of response and resistance to immunotherapy have demonstrated key tumor-intrinsic and tumor-extrinsic factors. Studying complex interactions with multiple cell types is necessary to understand the mechanisms of response and resistance to cancer therapies. The lack of model systems that faithfully recapitulate key features of the tumor microenvironment (TME) remains a challenge for cancer researchers. Here, we review recent advances in TME models focusing on the use of microfluidic technology to study and model the TME, including the application of microfluidic technologies to study tumor–immune dynamics and response to cancer therapeutics. We also discuss the limitations of current systems and suggest future directions to utilize this technology to its highest potential.
登录
查看更多内容
影响因子:
4.6
作者:
Allen SG;Chen YC;Madden JM;Fournier CL;Altemus MA;Hiziroglu AB;Cheng YH;Wu ZF;Bao L;Yates JA;Yoon E;Merajver SD
通讯作者:
Merajver SD
影响因子:
6.1
作者:
Araci, Ismail Emre;Quake, Stephen R.
通讯作者:
Quake, Stephen R.
影响因子:
6.4
作者:
Burdett, Emily;Kasper, F. Kurtis;Ludwig, Joseph A.
通讯作者:
Ludwig, Joseph A.
影响因子:
82.9
作者:
Binnewies M;Roberts EW;Kersten K;Chan V;Fearon DF;Merad M;Coussens LM;Gabrilovich DI;Ostrand-Rosenberg S;Hedrick CC;Vonderheide RH;Pittet MJ;Jain RK;Zou W;Howcroft TK;Woodhouse EC;Weinberg RA;Krummel MF
通讯作者:
Krummel MF
影响因子:
6.1
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
通讯作者:
Jenkins RW