Tumor-macrophage crosstalk: how to listen.

IF 1.5 4区生物学 Q4 CELL BIOLOGY

Integrative Biology Pub Date : 2020-12-30 DOI:10.1093/intbio/zyaa023

Tuli Dey

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引用次数: 4

Abstract

The tumor microenvironment contains many cellular components influencing tumor behaviors, such as metastasis, angiogenesis and chemo-resistance. Tumor-associated macrophages (TAMs) are one of such components that can also manipulate the overall prognosis and patient survival. Analysis of tumor-macrophage crosstalk is crucial as tumor cells can polarize circulatory monocytes into TAMs. Such trans-polarization of macrophages support tumor mediated evasion and suppression of immune response. Additionally, such TAMs significantly influence tumor growth and proliferation, making them a potential candidate for precision therapeutics. However, the failure of macrophage-dependent therapies at clinical trials emphasizes the fault in current perception and research modality. This review discussed this field's progress regarding emerging model systems with a focused view on the in vitro platforms. The inadequacy of currently available models and their implications on existing studies also analyzed. The need for a conceptual and experimental leap toward a human-relevant in vitro custom-built platform for studying tumor-macrophage crosstalk is acknowledged.

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肿瘤-巨噬细胞相声:如何聆听。

肿瘤微环境包含许多影响肿瘤行为的细胞成分，如转移、血管生成和耐药等。肿瘤相关巨噬细胞(tumor associated macrophages, tam)是其中一种能够操纵整体预后和患者生存的成分。肿瘤-巨噬细胞串扰分析是至关重要的，因为肿瘤细胞可以将循环单核细胞极化成tam。这种巨噬细胞的反极化支持肿瘤介导的逃避和抑制免疫反应。此外，这类tam显著影响肿瘤生长和增殖，使其成为精确治疗的潜在候选者。然而，巨噬细胞依赖疗法在临床试验中的失败强调了当前认知和研究模式的错误。这篇综述讨论了该领域关于新兴模型系统的进展，重点关注体外平台。还分析了现有模型的不足之处及其对现有研究的影响。需要一个概念和实验飞跃向人类相关的体外定制平台研究肿瘤-巨噬细胞串扰是公认的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Integrative Biology 生物-细胞生物学

CiteScore

4.90

自引率

0.00%

发文量

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.