Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Carbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.
FASEB J. 2022 Oct;36(10):e22540. doi: 10.1096/fj.202200684RR.
The tumor microenvironment (TME) is a complex network of non-malignant cells and stroma that perform a wide array of vital roles in tumor growth, immune evasion, metastasis, and therapeutic resistance. These highly diverse roles have been shown to be critically important to the progression of cancers and have already shown potential as therapeutic targets. Therefore, there has been a tremendous push to elucidate the pathways that underlie these roles and to develop new TME-directed therapies for cancer treatment. Unfortunately, TME-focused research has been limited by a lack of translational in vitro culture platforms that can model this highly complex niche and can support the integrated analysis of cell biology and function. In the current study, we investigate whether an independently developed reconfigurable microfluidic platform, known as Stacks, can address the critical need for translational multi-cellular tumor models and integrated analytics in TME research. We present data on multi-cellular culture of primary human cells in Stacks as well as the orthogonal analysis of cellular polarization, differentiation, migration, and cytotoxicity in this reconfigurable system. These expanded capabilities of Stacks are highly relevant to the cancer research community with the potential to enhance clinical translation of pre-clinical TME studies and to yield novel biological insight into TME crosstalk, metastasis, and responses to novel drug combinations or immune therapies.
肿瘤微环境(TME)是一个由非恶性细胞和基质组成的复杂网络,在肿瘤生长、免疫逃逸、转移和治疗耐药性方面发挥着广泛的重要作用。这些高度多样化的作用对于癌症的进展至关重要,并且已经显示出作为治疗靶点的潜力。因此,人们已经大力阐明了这些作用背后的途径,并开发了新的针对肿瘤微环境的治疗方法来治疗癌症。不幸的是,TME 相关研究受到缺乏能够模拟这种高度复杂生态位并支持细胞生物学和功能综合分析的转化体外培养平台的限制。在本研究中,我们研究了一种名为 Stacks 的独立开发的可重构微流控平台是否能够满足转化多细胞肿瘤模型和 TME 研究中综合分析的关键需求。我们展示了在 Stacks 中对原代人类细胞进行多细胞培养以及在这个可重构系统中对细胞极化、分化、迁移和细胞毒性进行正交分析的数据。Stacks 的这些扩展功能与癌症研究界高度相关,有可能增强临床前 TME 研究的转化,并对 TME 串扰、转移以及对新的药物组合或免疫治疗的反应产生新的生物学见解。