3D cancer models: One step closer to in vitro human studies.
3D cancer models: One step closer to in vitro human studies.
复制标题
3D癌症模型：离体外人体研究又近了一步。
DOI：
10.3389/fimmu.2023.1175503
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发表时间：
2023
影响因子：
7.3
通讯作者：
Musella M
中科院分区：
文献类型：
--
作者：
Manduca N;Maccafeo E;De Maria R;Sistigu A;Musella M
癌症免疫疗法是癌症治疗的重大突破，因为它比传统疗法显示出更长的无进展生存期，但到目前为止，只有一小部分患者得到了治疗。为了推广肿瘤免疫治疗的临床应用，首先需要克服一些障碍，首先是缺乏能够真实描述局部肿瘤微环境的临床前模型，众所周知，局部肿瘤微环境对疾病的发生、发展和治疗反应有很大影响。在这篇综述中，我们为读者提供了当前为模拟TME的复杂性和动力学而开发的3D模型的详细概述，重点是了解为什么TME是抗癌治疗的主要靶点。我们强调了肿瘤球体、器官和免疫芯片上肿瘤模型在疾病建模和治疗反应中的优势和翻译潜力，同时概述了尚待解决的挑战和限制。展望未来，我们专注于整合微工程师、癌症免疫学家、制药研究人员和生物信息学家的技术诀窍，以满足癌症研究人员和临床医生的需求，他们有兴趣使用这些平台高保真地进行患者定制的疾病建模和药物发现。
Cancer immunotherapy is the great breakthrough in cancer treatment as it displayed prolonged progression-free survival over conventional therapies, yet, to date, in only a minority of patients. In order to broad cancer immunotherapy clinical applicability some roadblocks need to be overcome, first among all the lack of preclinical models that faithfully depict the local tumor microenvironment (TME), which is known to dramatically affect disease onset, progression and response to therapy. In this review, we provide the reader with a detailed overview of current 3D models developed to mimick the complexity and the dynamics of the TME, with a focus on understanding why the TME is a major target in anticancer therapy. We highlight the advantages and translational potentials of tumor spheroids, organoids and immune Tumor-on-a-Chip models in disease modeling and therapeutic response, while outlining pending challenges and limitations. Thinking forward, we focus on the possibility to integrate the know-hows of micro-engineers, cancer immunologists, pharmaceutical researchers and bioinformaticians to meet the needs of cancer researchers and clinicians interested in using these platforms with high fidelity for patient-tailored disease modeling and drug discovery.
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影响因子：
7.3
作者：
Bjornson-Hooper ZB;Fragiadakis GK;Spitzer MH;Chen H;Madhireddy D;Hu K;Lundsten K;McIlwain DR;Nolan GP
通讯作者：
Nolan GP
分析两个辐照的肿瘤球体模型中的辐射效应。
影响因子：
2.9
作者：
Al-Ramadan A;Mortensen AC;Carlsson J;Nestor MV
通讯作者：
Nestor MV
影响因子：
48
作者：
Bian S;Repic M;Guo Z;Kavirayani A;Burkard T;Bagley JA;Krauditsch C;Knoblich JA
通讯作者：
Knoblich JA
影响因子：
17.3
作者：
Abbott, Rosalyn D.;Kaplan, David L.
通讯作者：
Kaplan, David L.
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