Modelling the tumor immune microenvironment for precision immunotherapy.
Modelling the tumor immune microenvironment for precision immunotherapy.
复制标题
为精确免疫治疗建立肿瘤免疫微环境模型。
DOI：
10.1002/cti2.1400
复制
发表时间：
2022
影响因子：
5.8
通讯作者：
中科院分区：
文献类型：
--
作者：
The complexity of the cellular and acellular players within the tumor microenvironment (TME) allows for significant variation in TME constitution and role in anticancer treatment response. Spatial alterations in populations of tumor cells and adjacent non‐malignant cells, including endothelial cells, fibroblasts and tissue‐infiltrating immune cells, often have a major role in determining disease progression and treatment response in cancer. Many current standard systemic antineoplastic treatments target the cancer cells and could be further refined to directly target commonly dysregulated cell populations of the TME. Recent developments in immuno‐oncology and bioengineering have created an attractive potential to model these complexities at the level of the individual patient. These developments, along with the increasing momentum in precision medicine research and application, have catalysed exciting new discoveries in understanding drug–TME interactions, target identification, and improved efficacy of therapies. While rapid progress has been made, there are still many challenges to overcome in the development of accurate in vitro, in vivo and ex vivo models incorporating the cellular interactions that take place in the TME. In this review, we describe how advances in immuno‐oncology and patient‐derived models, such as patient‐derived organoids and explant cultures, have enhanced the landscape of personalised immunotherapy prediction and treatment of solid organ malignancies. We describe and compare different immunological targets and perspectives on two‐dimensional and three‐dimensional modelling approaches that may be used to better rationalise immunotherapy use, ultimately providing a knowledge base for the integration of the autologous TME into these predictive models. In this article, we discuss several clinically significant immune checkpoint markers and review the current in vitro and ex vivo immune co‐culture platforms that have applications for translational precision immunotherapy in solid tumors. The figure was created with Biorender.com.
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影响因子：
14.8
作者：
Cattaneo CM;Dijkstra KK;Fanchi LF;Kelderman S;Kaing S;van Rooij N;van den Brink S;Schumacher TN;Voest EE
通讯作者：
Voest EE
一种新型的三维异型球体模型，用于评估癌症免疫疗法的活性。
DOI：
10.1007/s00262-016-1927-1
发表时间：
2017-01
期刊：
Cancer immunology, immunotherapy : CII
影响因子：
--
作者：
Herter S;Morra L;Schlenker R;Sulcova J;Fahrni L;Waldhauer I;Lehmann S;Reisländer T;Agarkova I;Kelm JM;Klein C;Umana P;Bacac M
通讯作者：
Bacac M
影响因子：
4.6
作者：
Davies EJ;Dong M;Gutekunst M;Närhi K;van Zoggel HJ;Blom S;Nagaraj A;Metsalu T;Oswald E;Erkens-Schulze S;Delgado San Martin JA;Turkki R;Wedge SR;af Hällström TM;Schueler J;van Weerden WM;Verschuren EW;Barry ST;van der Kuip H;Hickman JA
通讯作者：
Hickman JA
影响因子：
4.6
作者：
Tang Y;Xu Q;Yan M;Zhang Y;Zhu P;Li X;Sang L;Zhang M;Huang W;Lin L;Wu J;Xin Y;Fu J;Zhang L;Zhang S;Gu J
通讯作者：
Gu J
影响因子：
82.9
作者：
Gao J;Ward JF;Pettaway CA;Shi LZ;Subudhi SK;Vence LM;Zhao H;Chen J;Chen H;Efstathiou E;Troncoso P;Allison JP;Logothetis CJ;Wistuba II;Sepulveda MA;Sun J;Wargo J;Blando J;Sharma P
通讯作者：
Sharma P