一种可重构的微尺度分析方法能够深入了解与癌症相关的成纤维细胞对免疫细胞募集的调节。

IF 1.5 4区 生物学 Q4 CELL BIOLOGY Integrative Biology Pub Date : 2021-04-20 DOI:10.1093/intbio/zyab004
Jiaquan Yu, Amber Piazza, Sidney Sparks, Laurel E Hind, David J Niles, Patrick N Ingram, Wei Huang, William A Ricke, David F Jarrard, Anna Huttenlocher, Hirak Basu, David J Beebe
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引用次数: 3

摘要

先天免疫细胞浸润到肿瘤组织中是抵抗癌症的第一道防线,在肿瘤进展中起决定性作用。在这里,我们描述了一系列的分析,使用可重构的微尺度分析平台(即堆栈),它允许研究免疫细胞浸润体外与时空操作。我们采用Stacks试验来研究肿瘤与单核细胞的相互作用、活化巨噬细胞的再教育和中性粒细胞的浸润。在体外,Stacks浸润试验首次揭示了来自特定患者的原发性肿瘤相关成纤维细胞与前列腺良性区域相关的成纤维细胞在限制中性粒细胞浸润、促进单核细胞粘附和抗炎单核细胞极化方面的能力不同。这些结果表明成纤维细胞在免疫细胞浸润中起调节作用,并且Stacks具有预测个体患者癌症免疫反应的潜力。
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A reconfigurable microscale assay enables insights into cancer-associated fibroblast modulation of immune cell recruitment.

Innate immune cell infiltration into neoplastic tissue is the first line of defense against cancer and can play a deterministic role in tumor progression. Here, we describe a series of assays, using a reconfigurable microscale assay platform (i.e. Stacks), which allows the study of immune cell infiltration in vitro with spatiotemporal manipulations. We assembled Stacks assays to investigate tumor-monocyte interactions, re-education of activated macrophages, and neutrophil infiltration. For the first time in vitro, the Stacks infiltration assays reveal that primary tumor-associated fibroblasts from specific patients differ from that associated with the benign region of the prostate in their ability to limit neutrophil infiltration as well as facilitate monocyte adhesion and anti-inflammatory monocyte polarization. These results show that fibroblasts play a regulatory role in immune cell infiltration and that Stacks has the potential to predict individual patients' cancer-immune response.

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来源期刊
Integrative Biology
Integrative Biology 生物-细胞生物学
CiteScore
4.90
自引率
0.00%
发文量
15
审稿时长
1 months
期刊介绍: Integrative Biology publishes original biological research based on innovative experimental and theoretical methodologies that answer biological questions. The journal is multi- and inter-disciplinary, calling upon expertise and technologies from the physical sciences, engineering, computation, imaging, and mathematics to address critical questions in biological systems. Research using experimental or computational quantitative technologies to characterise biological systems at the molecular, cellular, tissue and population levels is welcomed. Of particular interest are submissions contributing to quantitative understanding of how component properties at one level in the dimensional scale (nano to micro) determine system behaviour at a higher level of complexity. Studies of synthetic systems, whether used to elucidate fundamental principles of biological function or as the basis for novel applications are also of interest.
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